operando characterisation of lithium–sulfur batteries
TRANSCRIPT
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 2075
Operando Characterisation of Lithium–Sulfur Batteries
YU-CHUAN CHIEN
ACTA UNIVERSITATIS
UPSALIENSIS UPPSALA
2021
ISSN 1651-6214 ISBN 978-91-513-1297-2 URN urn:nbn:se:uu:diva-453442
Dissertation presented at Uppsala University to be publicly examined in Polhemsalen,Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, Friday, 5 November 2021 at 09:15 for the degree of Doctor of Philosophy. The examination will be conducted in English. Faculty examiner: Professor Paul Shearing (University College London).
Abstract Chien, Y.-C. 2021. Operando Characterisation of Lithium–Sulfur Batteries. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 2075. 63 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-1297-2.
Lithium–sulfur (Li–S) batteries have been under the spotlight of research on electrochemical energy storage systems, primarily owing to their high theoretical specific energy (2552 Wh kg-1). So far, Li–S cells on the market have presented a specific energy of 400 Wh kg-1, which is superior to many commercial alternatives, but far below the theoretical value. At the same time, Li–S batteries encounter other problems that are generally not associated with the standard Li-ion batteries, such as low utilisation rate of active materials and short cycle life. These often originate from the unique catholyte nature and/or the low reversibility of the metallic Li electrode.
The dissolution and precipitation of elemental sulfur and lithium sulfide in the positive electrode are here investigated by operando X-ray diffraction (XRD) and small-angle neutron/X-ray scattering (SANS/SAXS) coupled with the Intermittent Current Interruption (ICI) method. The real-time internal and diffusion resistances are correlated to the kinetics of the precipitation of the crystalline species by operando XRD. Through operando SANS and SAXS, the formation of crystalline and amorphous solid-state discharge products and the compositional variation of catholyte inside the mesopores are linked to features in the resistance profiles. These studies indicate that the ionic transport limitation inside the positive electrode is the cause for the low sulfur utilisation during battery discharge.
To examine the impact of the repetitive precipitation on the functionality of the positive sulfur electrode, a method based on electrochemical impedance spectroscopy (EIS) was developed to track the electrochemically active surface area of the carbon matrix in-situ over extensive cycling. The investigation found no progressive passivation on the positive electrode despite the rapid decrease in specific discharge capacity. Additionally, a novel three-electrode setup for Li–S cells reveals a faster growth of the resistance on the metallic Li electrode along cycling. These findings suggest that primarily the negative electrode limits the cycle life.
Through providing the mechanistic insights of operational Li–S cells, this thesis demonstrates the value of simultaneous electrochemical and materials characterisations for understanding the complex Li–S system.
Keywords: lithium–sulfur batteries, operando characterisation, intermittent current interruption, X-ray diffraction, small-angle scattering, electrochemical impedance spectroscopy
Yu-Chuan Chien, Department of Chemistry - Ångström, Structural Chemistry, Box 538, Uppsala University, SE-751 21 Uppsala, Sweden.
© Yu-Chuan Chien 2021
ISSN 1651-6214 ISBN 978-91-513-1297-2 URN urn:nbn:se:uu:diva-453442 (http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-453442)
To Ama and Agong
List of Papers
This thesis is based on the following papers, which are referred to in the text
by their Roman numerals.
I. Chien, Y.-C., Menon, A. S., Brant, W. R., Brandell, D., Lacey,
M. J. (2020) Simultaneous Monitoring of Crystalline Active Ma-
terials and Resistance Evolution in Lithium–Sulfur Batteries.
Journal of the American Chemical Society, 142(3):1449–1456
II. Chien, Y.-C., Menon, A. S., Brant, W. R., Brandell, D., Lacey,
M. J. (2021) Understanding the Impact of Precipitation Kinetics
on the Electrochemical Performance of Lithium–Sulfur Batteries
by Operando X-ray Diffraction. In manuscript.
III. Chien, Y.-C., Lacey, M. J., Steinke, N.-J., Brandell, D., Rennie,
A. R. (2021) Correlations between Precipitation Reactions and
Electrochemical Performance of Lithium–Sulfur Batteries. Sub-
mitted manuscript.
IV. Li, H., Lampkin, J., Chien, Y.-C., Furness, L., Brandell, D.,
Lacey, M.J., Garcia-Araez, N. (2021) Operando Characterization
of Active Surface Area and Passivation Effects on Sulfur-Carbon
Composites for Lithium-Sulfur Batteries. Submitted Manuscript.
V. Chien, Y.-C., Brandell, D., Lacey, M. J. (2021) Towards Reliable
Three-Electrode Cells for Lithium–Sulfur batteries. Submitted
manuscript.
Reprints were made with permission from the respective publishers.
Disclaimer: Parts of this thesis are based on my licentiate thesis titled “Inves-
tigations of the performance-limiting factors in lithium-sulfur batteries” (Upp-
sala University, 2019).
My Contributions to the Papers
I. I derived the theoretical foundation of the electrochemical method
with my supervisors’ input, conceptualised, executed and analysed
the experiments with co-authors’ assistance in the refinement of the
diffraction data. I wrote the manuscript with input from co-authors.
II. I conceptualised, executed and analysed the experiments with co-
authors’ assistance in the refinement of the diffraction data. I wrote
the manuscript with input from co-authors.
III. I conceptualised, executed and analysed the experiments with co-
authors’ assistance in the execution and interpretation of small-an-
gle scattering data. I wrote the manuscript with input from co-au-
thors.
IV. I fabricated the optimised electrodes, conducted the operando
measurements and participated in the data analysis. I participated
in writing the manuscript.
V. I conceptualised, executed and analysed the experiments. I wrote
the manuscript with input from co-authors.
Papers not Included in the Thesis
I. Chien, Y.-C., Pan, R., Lee, M.-T., Nyholm, L., Brandell, D., Lacey,
M. J. (2019) Cellulose Separators With Integrated Carbon Nano-
tube Interlayers for Lithium-Sulfur Batteries: An Investigation into
the Complex Interplay between Cell Components. Journal of the
Electrochemical Society, 166(14):A3235–A3241
II. Hernández, G., Naylor, A. J., Chien, Y.-C., Brandell, D., Min-
demark, J., Edström, K. (2020) ACS Sustainable Chemistry & En-
gineering, 8(27):10041–10052
III. Chien, Y.-C., Jang, H., Brandell, D. and Lacey, M. J. (2021)
Poly(Ethylene Glycol-block-2-Ethyl-2-Oxazoline) as Cathode
Binder in Lithium-Sulfur Batteries. ChemistryOpen, in press.
Contents
1 Introduction ......................................................................................... 13
1.1 Electrochemical Energy Storage ..................................................... 13
1.1.1 Rechargeable Batteries .......................................................... 14
1.1.2 Lithium-ion Batteries ............................................................. 14
1.2 Lithium–Sulfur Batteries ................................................................. 15
1.2.1 Cathode and Catholyte ........................................................... 15
1.2.2 Anode and Catholyte ............................................................. 18
2 Scope of the Thesis .............................................................................. 20
3 Experimental Methods ......................................................................... 22
3.1 Sample Preparation ......................................................................... 22
3.1.1 Preparation of Sulfur/Carbon Composite Electrodes ............. 22
3.1.2 Two- and Three-electrode Electrochemical Cells .................. 22
3.1.3 Electrochemical Cell Designs for Operando Measurements . 23
3.2 Characterisation Techniques ........................................................... 24
3.2.1 Intermittent Current Interruption Method .............................. 24
3.2.2 Electrochemical Impedance Spectroscopy ............................ 26
3.2.3 X-ray Diffraction/Wide-angle X-ray Scattering .................... 27
3.2.4 Small-angle X-ray and Neutron Scattering ............................ 28
4 Results and Discussions ....................................................................... 29
4.1 Illustration of a Discharging Positive Electrode ............................. 29
4.1.1 Precipitation and Energy Loss Processes ............................... 29
4.1.2 From Cell Parameters to Electrochemical Performance ........ 33
4.1.3 Dissolved, Crystalline and Amorphous Sulfur Species ......... 39
4.2 Investigations into the Cycle Life Limitations ................................ 45
4.2.1 Electrochemically Active Surface Area over Cycling ........... 45
4.2.2 Resistance Distribution and Its Evolution .............................. 49
5 Conclusions ......................................................................................... 53
6 Sammanfattning på svenska ................................................................ 55
7 Acknowledgements.............................................................................. 57
8 References ........................................................................................... 58
Abbreviations
BET Brunauer–Emmett–Teller theory/method
CCC Carbon nanotube-coated cellulose
CE Counter electrode
CNF Carbon nanofiber
CNT Carbon nanotube
CPE Constant phase element
DME 1,2-dimethyloxyethane
DOL 1,3-dioxolane
ECM Equivalent circuit model
EIS Electrochemical impedance spectroscopy
E/S Electrolyte-to-sulfur (ratio)
FWHM Full-width at half-maximum
gS Mass of sulfur in grams
ICI Intermittent current interruption (method)
KB Ketjenblack®
LiFSI Lithium bis(fluorosulfonyl)imide
LiTFSI Lithium bis(trifluoromethanesulfonyl)imide
OCV Open-circuit voltage
PEO Poly(ethylene oxide)
PVP Poly(vinylpyrrolidone)
RE Reference electrode
SAS Small-angle scattering
SANS Small-angle neutron scattering
SAXS Small-angle X-ray scattering
SEI Solid electrolyte interphase
SEM Scanning electron microscopy
SLD Scattering length density
SoC State of charge
SoD State of discharge
SSA Specific surface area
WAXS Wide-angle X-ray scattering
WE Working electrode
XRD X-ray diffraction
13
1 Introduction
1.1 Electrochemical Energy Storage1,2
Electrochemical energy storage systems operate by guiding the electron in-
volved in a pair of reduction and oxidation reactions through an electric cir-
cuit, where the electric current can do work when the redox reaction is spon-
taneous. This process of harnessing the free energy of redox reactions is
termed discharge. By the sign convention, the electrode where reduction takes
place, and thus the electrons flow into, is the positive electrode. The other
electrode is the negative electrode by the same rationale. The substances going
through these redox reactions in the electrodes are the active materials. The
redox reaction is spontaneous because the active material at the positive elec-
trode has a higher potential to reduce than that on the negative electrode. The
difference in the reduction potentials gives rise to the electromotive force (E),
which can be related to the Gibbs free energy (∆G) of the redox reaction by
∆𝐺 = 𝑛𝐹𝐸 (1.1)
where n is the number of moles of electrons transferred in the reaction and F
is the amount of charge carried by one mole of electrons, i.e. the Faraday con-
stant. In an electrochemical energy source, the electromotive force is meas-
ured by the open-circuit voltage (OCV), which is the potential difference be-
tween the positive and negative electrodes when no current is present.
To sustain the electric current, the charge difference caused by the move-
ment of electrons has to be balanced out. This is achieved by the ions in the
electrolyte. The electrolyte is an electron-insulating but ion-conducting me-
dium between the two electrodes, which is usually a liquid with high ionic
conductivity. As an electron moves out of the negative electrode, a positive
charge is left behind in the oxidized active material, whether it stays in the
electrode or dissolves in the electrolyte. This excess positive charge has to be
compensated either by an anion moving towards this electrode or a cation
leaving it. Due to the size difference, the ionic conductivity of the electrolyte
is usually much lower than the electronic conductivity of the electric circuit.
Depending on where the active materials are stored, electrochemical energy
storage devices can be categorized as batteries or fuel cells. In a fuel cell, the
active materials are constantly replenished, used and exhausted, as its name
14
suggests, whereas in a battery, the active materials are embedded and sealed
inside the cell.
1.1.1 Rechargeable Batteries2,3
Batteries discharge by spontaneous reduction at the positive electrode and ox-
idation at the negative electrode. The positive and negative electrodes are
therefore also named as the cathode and anode, respectively. For a rechargea-
ble battery, the process can be reversed by supplying electric current in the
opposite direction, which results in oxidation at the positive electrode and re-
duction at the negative electrode, also known as charging. The electrical en-
ergy is then stored chemically in a rechargeable battery.
Besides the two electrodes and the electrolyte, a modern battery usually
consists of a separator to minimize the required distance between the elec-
trodes. The separator is a porous insulating membrane, whose pores are filled
with liquid electrolyte in a battery. The two electrodes with this combination
in between can be stacked together densely without being short-circuited. This
configuration not only enhances the energy density of the battery system but
also minimizes the energy dissipated by the solution resistance of the electro-
lyte.
Battery systems are usually named after their components. For example:
lead-acid batteries, nickel metal hydride batteries, lithium-ion batteries. The
following subchapter will introduce the working principles of lithium-ion bat-
teries as the current dominant technology.
1.1.2 Lithium-ion Batteries3
Lithium-ion batteries are a set of battery systems that utilize Li ions as the
charge carriers but does not apply metallic Li as the negative electrode. This
distinction from Li batteries (or Li-metal batteries) was deliberately made in
the 1980’s due to the safety issue related to the Li metal anode. Metallic Li
has several advantages as an anode material, e.g. low reduction potential and
high specific capacity. However, it also has one problem that made it imprac-
tical in these early days of Li-battery development, which is still not really
solved to date: inhomogeneous Li deposition. The most dangerous impact of
dendritic growth of Li is that it can short-circuit the cell by penetrating the
separator. Therefore, researchers circumvented the use of metallic Li by pair-
ing graphite, as the negative electrode, with layered lithium metal oxides as
the positive electrode. Both active materials are categorized as intercalation
materials, which means that Li ions are inserted into the layered atomic struc-
ture of the material during the redox reaction while the layered structure re-
mains topologically the same. This setup sacrifices the specific energy but still
benefits from the high charge-to-mass ratio of Li ions and enhances safety
substantially. Thus, Li-ion batteries were successfully commercialized in
15
1990’s and has until now been the rechargeable battery system with the high-
est energy density on the market.
1.2 Lithium–Sulfur Batteries
The quest for more efficient battery technology did not stop after the commer-
cialization of Li-ion batteries. Despite the safety concerns discussed above,
the metallic Li anode is still regarded as one of the promising solutions to push
the specific energy density of commercial batteries beyond its current values.
To match the high specific capacity of Li, 3860 mAh g-1,3 sulfur is considered
a candidate for the positive electrode material due to its high specific capacity
among cathode materials, 1672 mAh g-1.4 Additionally, sulfur is non-toxic and
abundant in the earth’s crust.5,6 In an ideally balanced cell with complete uti-
lisation of both active materials, a Li–S battery has a theoretical specific en-
ergy of 2552 Wh kg-1 on the materials level based on the following reaction.4
2Li + S → Li2S (1.2)
The overall reaction above is made up of the following half-reactions taking
place at the positive and negative electrodes, respectively.
S + 2Li+ + 2e- → Li2S (1.3)
Li → Li+ + e- (1.4)
On the cell level, a specific energy of 400 Wh kg-1 has been demonstrated
commercially.7–9 This performance is superior to that of the current Li-ion bat-
teries on the market but still falls behind the theoretical value of the Li–S sys-
tem by a factor of six, which is high if we consider the practical specific energy
of Li-ion batteries only lags its theoretical value by a factor of three. Moreo-
ver, the short cycle life of the Li–S cells also hinders their wider applica-
tion.10,11 These issues can be attributed to several challenges that the develop-
ment of the Li–S technology is facing, which will be discussed below with the
introduction to the corresponding cell components.
1.2.1 Cathode and Catholyte
Due to the low electronic conductivity of sulfur, 5∙10-30 S cm-1,5 a conductive
matrix is required to facilitate the electrochemical reactions. A wide variety
of conductive materials have been investigated in literature,6,12,13 among which
carbonaceous materials constitute the majority due to their high conductivity,
low density and versatility. To form a mechanically robust electrode with the
16
above-mentioned powder materials, one or more polymers are used as bind-
ers.14–16 Various fractions of sulfur can be found in the published works with
the majority ranging from 50 % to 70 % by weight.17 Due to the relatively high
composition of the carbonaceous materials and their important role, the posi-
tive electrodes are often referred to as sulfur/carbon (S/C) composite elec-
trodes.
The working mechanism of a cathode in Li–S batteries is substantially differ-
ent from that in Li-ion batteries. The difference originates from the interme-
diate states between the charged state, elemental sulfur, and the discharged
state, lithium sulfide (Li2S).4 As sulfur is discharged in commonly used ether-
based electrolyte, lithium polysulfides (Li2Sx, x = 2–8) are formed first, before
they are eventually reduced to Li2S.18,19 These polysulfides are soluble to var-
ious extents in liquid electrolyte while sulfur and Li2S are not.20–22 Thus, in-
stead of staying in the solid state like a common cathode material of Li-ion
batteries, sulfur species go through dissolution and precipitation during the
course of discharge or charge. In other words, it is a catholyte system at most
states of charge (SoC) levels.
A typical potential profile of an S/C composite electrode consists of two plat-
eaus, which are more distinct upon discharge and closer to each other upon
charging, as shown in Figure 1.1. The assignment of redox reactions to the
potential plateaus are still being discussed since the exact reaction mechanism
is still under investigation. Nonetheless, it is widely accepted to associate the
upper plateau (~2.35 V vs Li/Li+) with the conversion of elemental sulfur to
the long-chained polysulfides (Li2Sx, x = 6–8) and the lower one (~2.1 V vs
Li/Li+) with that of the short-chained polysulfides (Li2Sx, x = 2–4) to Li2S.23,24
Figure 1.1. Schematic illustration of a Li–S cell (left) and a typical potential profile of an S/C composite electrode (right), where E is the potential and Q is the specific ca-pacity based on the mass of sulfur in grams (gS
-1).
17
Given the solubility of the reaction intermediates in the electrolyte, it is not
difficult to imagine that the active material of the positive electrode can diffuse
to the other side of the separator and react with the negative electrode without
contributing any current to the external circuit. Moreover, the reduced poly-
sulfides may diffuse back to the positive electrode and be oxidized if the cell
is charging.25 This loop of redox reactions is commonly referred to as “poly-
sulfide shuttle. It can be inferred from the above description of the polysulfide
shuttle that its consequences are self-discharge and low Coulombic effi-
ciency.25 Due to the faster kinetics of the reduction of the long-chained poly-
sulfides, the redox shuttle occurs to a larger extent at the upper potential plat-
eau.26,27 Thus, it can often be identified by a prolonged upper charging plateau
on the potential profile.25
Another challenge facing the positive electrode is the explanation for the
low sulfur utilisation. Despite the high theoretical specific capacity of sulfur,
only around 1000 mAh g-1 is reported in the majority of the current litera-
ture,6,28 which means only around 60% utilisation of the active material. This
discrepancy is a roadblock to the development of the Li–S technology since
there is already a considerable fraction of conductive carbon materials in the
positive electrode, which do not contribute to the capacity of the electrode.
The final step of the discharge process, which involves the precipitation of
Li2S, has been extensively investigated to identify the reason for low sulfur
utilisation.29–37 Early studies proposed that a dense two-dimensional film of
Li2S is formed on the surface of the carbon matrix, which eventually passiv-
ates the electrode, and prevents further reduction of sulfur.37,38 However, re-
cent reports have shown that porous Li2S particles can also precipitate under
certain conditions, which do not cover the entire surface of the electrode.32,39
Thus, instead of electrode passivation, the diffusion of polysulfides has been
suggested to be the reason for low sulfur utiliation.32 These conflicting claims
demonstrate that the complex discharge process in the positive electrode is yet
fully understood. A series of investigations of the discharge processes inside
the positive electrode will be presented in chapter 4.1.
Following the hypothesis of the Li2S passivation at the end of discharge, a
frequently proposed reason for the capacity fade of Li–S cells is the drop in
the electrochemically active surface area due to the irreversible coverage of
an insulating layer on the carbon matrix.40,41 Longer cycle life was reported
for cells with a cycling protocol that avoids the formation of Li2S. Similar to
the disagreement about the end of discharge, contradictory reports can also be
found in the literature, where cells achieved longer cycle life by avoiding the
upper plateaus.42 Nevertheless, the missing information in these works is the
quantification of the surface area of the carbon matrix. In chapter 4.2.1, a
method based on electrochemical impedance spectroscopy (EIS) will be intro-
duced to track the surface area along with the cycle number.
18
1.2.2 Anode and Catholyte
As mentioned in previously, metallic Li is the ideal material for the negative
electrode in Li-ion-based batteries for the reason of its high specific capacity
and low reduction potential. However, the safety risk brought by the dendritic
growth of Li is a roadblock yet to be removed, at least not in liquid electro-
lyte.43 In addition to the uneven deposition, inhomogeneous dissolution is also
a problem with the metallic Li electrode since it results in Li domains electri-
cally disconnected from the bulk. This so-called “dead Li” becomes inactive
and does not participate in the redox reaction anymore, which means a perma-
nent loss of capacity.44
Metallic Li electrodes face further challenge in Li–S batteries due to the
catholyte nature of the sulfur electrode. As discussed above, the soluble poly-
sulfides can diffuse between the positive and negative electrodes and go
through repeated redox reactions, which waste the stored charge in the battery.
For Li-ion batteries, an ideal SEI is expected to be both electronically insulat-
ing to stop further electrolyte decomposition and Li-ion conductive to main-
tain the redox reactions at the anode.2 For Li–S cells, the SEI has one more
mission—shielding Li from the polysulfide shuttle.43
The addition of lithium nitrate (LiNO3) as a co-salt in the electrolyte was
found to facilitate the formation of a protective SEI on Li to reduce the poly-
sulfide shuttle.45,46 It was concluded from surface analyses of Li that LiNO3 is
reduced by Li to LixNOy, which in turn oxidizes the sulfur species on Li.45,47
The oxidized sulfur species are effective to the passivation of Li because they
are stable components of the SEI, contrary to the reduced sulfur species.26,48
As introduced above, most of the reduced sulfur species, the lithium polysul-
fides, are soluble in the electrolyte. The insoluble Li2S can easily be oxidized
into polysulfides by disproportionation with the polysulfides in the catho-
lyte.45 This means the SEI on the metallic Li in a Li–S cell is much less robust
than that in a cell where the Li metal negative electrode is paired with a “stand-
ard” positive electrode, e.g. a Li+ insertion material.
Nevertheless, it has been demonstrated that LiNO3 is continuously con-
sumed in a Li–S cell,46 which means that the above-mentioned benefits are
temporary. As the passivation on the surface of Li deteriorates, more electro-
lyte is gradually decomposed.45 This is corroborated by the strong dependence
of a Li–S cell’s cycle life on the electrolyte volume.9,49,50 It is thus reasonable
to infer that metallic Li electrode may not always act as a non-limiting counter
electrode (CE) even when used in excessive dimensions. However, it is a com-
mon practice in the literature to investigate S/C composite electrodes in two-
electrode “half-cells” with a Li CE. The cell performance of such two-elec-
trode cells is often interpreted as the performance of the working electrode
(WE), which is the S/C composite electrode in this case. Hence, it is critical
19
to quantify the impact of the Li CE on the overall cell properties. To distin-
guish the electrochemical responses from WE and CE, a reference electrode
(RE) needs to be introduced. In chapter 4.2.2, a simple three-electrode setup
for the Li–S system will be proposed. With the Intermittent Current Interrup-
tion (ICI) method, the resistance contributions from both the positive and neg-
ative electrodes will be tracked at all SoC over the entire cycle life.
20
2 Scope of the Thesis
This thesis studied Li–S batteries during their operation in order to elucidate
the complex and changeable system. The ‘operando’ characterisations did not
only involve simultaneous materials characterisations, such as X-ray and neu-
tron scattering, but also real-time electrochemical characterisations, such as
resistance and specific surface area determinations, which were performed
while a Li–S cell was in operation. Two research questions were raised: What
mechanisms limits the discharge capacity of these cells? And what limits their
cycle life?
To investigate the reason for the discrepancy between the practical and the-
oretical capacities of the positive electrode, an experimental framework com-
bining operando X-ray diffraction (XRD) and the Intermittent Current Inter-
ruption (ICI) method was developed in Paper I, which renders the internal
and diffusion resistances. The evolution of the diffraction signal and the
transport properties were correlated directly to study the precipitation and dis-
solution processes of Li2S. The advantage of the combination was further
demonstrated in Paper II, where a series of operando XRD measurements
were carried out to evaluate the effects of several cell parameters on the pre-
cipitation of Li2S. This investigation aimed at providing the mechanistic ex-
planations for the strong dependence of the electrochemical properties of Li–
S cells on these parameters. Subsequently, the methodology was further de-
veloped for small-angle neutron and X-ray scattering, which captured the evo-
lution of the catholyte and amorphous discharge products, in addition to the
crystalline Li2S, in Paper III. The results indicated that a decrease in Li+ con-
centration in the catholyte inside the carbon matrix terminated the discharge
process.
In search of the limiting factor of the cycle life, the previously proposed
hypothesis of irreversible passivation of the carbon matrix in the positive elec-
trode was tested in Paper IV. An EIS-based technique was developed for in-
situ determination of the electrochemically active surface area, which indi-
cated that the decrease in discharge capacity is not correlated with the decrease
of electrode surface area. Lastly in Paper V, long-term cycling data of three-
electrode Li–S cells were reported. The resistance contributions from the pos-
itive and negative electrodes of an operational cell could thereby be measured
21
separately. The faster growth rate of the resistance of the metallic lithium elec-
trode suggested that electrolyte decomposition and/or the irreversibility of
lithium metal were the limiting factors for the cycle life.
22
3 Experimental Methods
3.1 Sample Preparation
The specifications of the materials used are listed in the corresponding articles.
3.1.1 Preparation of Sulfur/Carbon Composite Electrodes
The positive electrode was produced by following a previously optimized rec-
ipe for S/C composite electrode,51 where the sulfur content is 65% and the
porous carbon matrix is Ketjenblack (KB). First, sulfur was mixed with KB in
a mortar and heated to 155 °C for 20 minutes. Together with the other com-
ponents, the S-impregnated KB was ball-milled with ethanol or isopropanol
solution in deionized water. The slurry was cast onto a carbon-coated alumin-
ium foil, and then cut into 13-mm-diameter discs.
3.1.2 Two- and Three-electrode Electrochemical Cells
Unless specified otherwise, the two-electrode electrochemical cells in this the-
sis were made with R2025-format coin cells. Coin cells were chosen to avoid
the uncertainty of electrolyte amount resulting from the vacuum sealing pro-
cess for pouch cells. In contrast to Li-ion batteries, the electrolyte-to-sulfur
(E/S) ratio strongly affects the performance of a Li–S cell.49,52 Moreover, due
to the high specific capacity of both sulfur and lithium, the weight of electro-
lyte can easily dominate the overall specific energy.17,53 Another important
parameter is the sulfur-loading,51,54 which is defined as the mass of sulfur per
electrode area here. Due to the constant sulfur content in this work (65%), the
sulfur-loading is proportional to the thickness of the electrode.
Several three-electrode cells were employed in this thesis. In Paper I, a
three-electrode cell with a 16-mm-diameter Li metal disc as the reference elec-
trode was built with a homemade Swagelok® T-cell, as displayed schemati-
cally in Figure 3.2. In Paper V, a more robust three-electrode design was de-
veloped for long-term measurements. By inserting a polyimide-wrapped gold
microwire, minimal adjustment and thus minimal disturbance is introduced to
the commercial coin cell, as sketched in Figure 3.3.
23
Figure 3.1. Scheme of the components of a conventional coin cell
Figure 3.2. Scheme of the homemade three-electrode Swagelok® T-cell
Figure 3.3. Scheme of the homemade three-electrode coin cell
3.1.3 Electrochemical Cell Designs for Operando
Measurements
A scheme of the modified coin cell can be found in Figure 3.4. 7-mm holes
were drilled on both the stainless steel cap and can to avoid its high X-ray
absorption. The holes were sealed by polyimide tape on both sides in Paper
I, which was replaced by aluminium-coated polyimide in Paper II Similar
cell designs were also used in the Paper III with only adjustments on the
24
sealing material. Beryllium discs were used in place of the spacer owing to its
low X-ray absorption, rigidity to maintain a homogeneous stack pressure and
high electronic conductivity to establish a uniform current distribution. The
influence of the stack pressure and current distribution on the reactivity of the
electrode has been demonstrated computationally and experimentally.55 The
limitation of this cell design is the oxidation of beryllium at 4.2 V vs. Li/Li+,56
which is far above the maximum potential in the electrochemical tests carried
out in this work (2.6 V vs Li/Li+).
Figure 3.4. Scheme of the modified coin cell for operando X-ray-based measurements.
The modified cell for the neutron-based experiments share a design that is
similar to the above one. However, the windows are not made to increase the
transmission but to avoid the irregular scattering from the fine grains of stain-
less steel, which can vary substantially from sample to sample. In addition,
the cells have to be transported to the beamline at Institut Laue-Langevin in
France. Therefore, the sealing of the cells was made thicker.
3.2 Characterisation Techniques
3.2.1 Intermittent Current Interruption Method
The electrochemical cells in this work were mostly cycled at a constant current
but with periodic transient current pauses; a one-second pause every five
minutes. From the potential response to a current pause, resistance information
is derived. This technique of resistance measurement is termed the Intermit-
tent Current Interruption (ICI) method.49,57,58 The applied current is often la-
belled as the C-rate, where 1C equals 1672 mA gS-1.
Based on the porous electrode model proposed by de Levie,59 it is derived
in the supporting information of Paper I that the potential change (∆E) during
a current interruption can be expressed as the following function of step time
(t, defined as the time passed after the current is switched off). The mathemat-
ical relationship is shown in (3.1), where I is the current before the interrup-
tion, R´ and C are the solution resistance and double-layer capacitance per unit
length inside the pore, respectively.
25
∆𝐸(𝑡) = ∆𝐸(0) − 𝐼√4𝑅′
𝜋𝐶√𝑡 (3.1)
During the data analysis, a linear regression of the potential against the square
root of the step time is performed for each current interruption, as illustrated
in Figure 3.4. The intercept is the time-independent part of the potential
change (∆E(0)), which can be divided by the current to obtain the internal
resistance (R).
𝑅 = −∆𝐸(0)
𝐼(3.2)
The diffusion resistance coefficient (k) is acquired by dividing slope of the
regression line by the current.
𝑘 = −1
𝐼 ∙
𝑑∆𝐸
𝑑𝑡0.5(3.3)
By comparing (3.1), (3.3) and the mathematical expression of a Warburg ele-
ment used in the analysis of impedance spectra, as demonstrated in the sup-
porting information of Paper I, k can be derived to be proportional to the
Warburg coefficient (σ), which will be introduced in the next chapter.
𝑘 = √4𝑅′
𝜋𝐶= √
8
𝜋 𝜎 (3.4)
Figure 3.4. Example of the ICI analysis of a current interruption experiment. Data points and the regression line are plotted in red and blue, respectively. ∆E and t are the potential change and the step time as the current is switched off.
26
3.2.2 Electrochemical Impedance Spectroscopy1
The electrochemical impedance spectroscopy (EIS) is an alternating current
(AC) technique, which resolves the energy loss processes with different time
constants in an electrochemical system. In this work, the EIS is carried out by
enforcing sinusoidal potential E perturbation with a small amplitude |E| on the
cell.
𝐸 = |𝐸|𝑒𝑗𝜔𝑡 (3.5)
where j is the imaginary number, ω is the angular frequency and t is time. The
current response follows the general expression:
𝐼 = |𝐼|𝑒𝑗(𝜔𝑡+𝜃) (3.6)
where θ is the phase shift between the current and the potential. By applying
Ohm’s law, the impedance Z, which is analogous to the resistance under direct
current (DC), can be obtained.
𝑍 =𝐸
𝐼= |𝑍|𝑒−𝑗𝜃 (3.7)
𝑤ℎ𝑒𝑟𝑒 |𝑍| =|𝐸|
|𝐼|
Z can also be expressed in its real and imaginary parts.
𝑍 = 𝑍′ − 𝑗𝑍′′ (3.8)
𝑤ℎ𝑒𝑟𝑒 𝑍′ = |𝑍| cos 𝜃 𝑎𝑛𝑑 𝑍′′ = |𝑍| sin 𝜃
This procedure is repeated at various frequencies of interest, so a spectrum of
impedance is obtained and usually presented on a Nyquist plot, where -Z´´ is
plotted against Z´. Equivalent circuit models (ECM) are used to analyse the
impedance spectra. Two of the basic elements are a resistor with a resistance
of R and a capacitor with a capacitance of C, whose impedance ZR and ZC
contains only real and imaginary parts, respectively.
𝑍𝑅 = 𝑅 (3.9)
𝑍𝐶 =1
𝑗𝜔𝐶(3.10)
27
It is intuitive to visualise that ZR is a point on the Z´-axis and ZC is a line
overlapping the Z´´-axis. To fit the spectrum of an electrochemical system,
many or even infinite combinations of resistors and capacitors with different
resistance and capacitance, respectively, are used in series or in parallel. Com-
monly adopted complicated combinations can be found as individual elements
in the literature, such as the infinite Warburg element, which is used to de-
scribe diffusion processes and the retarded electrochemical double-layer ca-
pacitance in a porous electrode.59 Its impedance ZW can be expressed as:
𝑍𝑊 = 𝜎𝜔−0.5 − 𝑗𝜎𝜔−0.5 (3.11)
where σ is the coefficient of the Warburg element. Details on how it describes
a porous electrode can be found in the Supporting Information of Paper I.
In Paper IV, the analysis of impedance spectra was focused on the capacitor
at low frequencies, which is mostly contributed by the electrochemical dou-
ble-layer on the carbon matrix. With the specific capacitance of carbon, the
electrochemically active surface area can be calculated from the capacitance
derived from the impedance measurement.
3.2.3 X-ray Diffraction/Wide-angle X-ray Scattering
X-ray diffraction (XRD), also known as wide-angle X-ray scattering
(WAXS), is a materials characterisation technique that analyses the elastically
scattered photons with larger momentum transfer, which are attributed to the
diffraction phenomenon of crystals. As an array of atoms is illuminated by
photons with a wavelength close to their spacing, each atom behaves like a
point light source and the light from the atoms in the array can intensify or
cancel out each other in specific directions. The collective outcome of the
point light sources is termed diffraction. The relationship between the lattice
plane spacing (d) and the scattering angle (θ) is described by Bragg’s law:
𝑛𝜆 = 2𝑑 sin 𝜃 (3.12)
where n is a positive integer and λ is the wavelength of the incident X-ray. The
intensity of each peak is determined by the elements sitting on the planes in
the array since each element scatters X-rays differently. Generally, atoms with
more electrons interacts more with the electromagnetic wave, but this rela-
tionship is also wavelength-dependent. In summary, each crystalline material
has its own unique diffraction pattern, which can be used to identify it.60
In chapter 4.1, XRD is applied to an operating battery. The coin cell has to
be modified to avoid the high X-ray absorption of the stainless steel casing, as
explained previously in chapter 3.1.3. Through operando XRD, the evolution
of the crystalline active materials can be followed as the cell goes through
different SoC levels. For Li–S batteries, as mentioned above in chapter 1.2.1,
28
the active material of the positive electrode dissolves in the electrolyte as dis-
charging/charging starts, and precipitates at the end of discharge/charge. Since
both elemental sulfur and Li2S are crystalline, operando XRD is applied here
as a tool to track the process of precipitation and dissolution.
3.2.4 Small-angle X-ray and Neutron Scattering
Small-angle scattering (SAS) techniques also analyse the results from elastic
scattering, just like its wide-angle counterpart, but with small momentum
transfer, which are contributed by scatterers larger than atoms. Depending on
the specifications of the equipment, the probing scale can range from nano- to
micrometers.61 The momentum transfer (q) can be expressed in terms of scat-
tering angle (θ) and the wavelength (λ) of the incident beam:62
𝑞 =4𝜋 sin 𝜃
𝜆(3.13)
The scattering intensity (I) follows a general form:63
𝐼(𝑞) = 𝑁𝑉2∆𝜌2𝑃(𝑞)𝑆(𝑞) (3.14)
where N is the number of scatterers, V is the volume of a scatterer, ∆ρ is the
contrast of the scattering length densities (SLD) of the scatterers and their sur-
rounding medium, P is the form factor and S is the structure factor. In chapter
4.1.3, SAS experiments were conducted with both X-ray and neutrons. More-
over, cells with hydrogenous and deuterated electrolytes were probed by the
small-angle neutron scattering (SANS). These combinations rendered three
SLD contrasts and thus sufficient information for a definite interpretation of
the system. The simultaneously measured WAXS signal enabled the compar-
ison between crystalline and amorphous solid clusters in the system.
29
4 Results and Discussions
4.1 Illustration of a Discharging Positive Electrode
This chapter dives into the details of the discharge processes inside an operat-
ing S/C composite electrode and aims to provide a holistic picture of how
these processes are steered by the electrochemical cell parameters and how
they, in turn, impact the electrochemical properties of the cell.
4.1.1 Precipitation and Energy Loss Processes
In Paper I, an experimental framework of concurrent detection of the crystal-
line species and resistance measurements is established by combining oper-
ando XRD and the ICI method. The influence of the precipitation of the insu-
lating solid species on the functionality of the porous carbon matrix will be
exhibited.
4.1.1.1 Electrochemical equivalence of the modified coin cell
To justify the resistance measurement, the electrochemical properties of the
modified coin cell was first benchmarked against those of conventional coin
cells. The potential (E), internal resistance (R) and diffusion resistance coef-
ficient (k) of the modified and conventional cells are plotted in Figure 4.1. It
can be noticed that the electrochemical properties of the modified coin cell,
which has 10 µL gs-1 electrolyte, laid between those of the two conventional
coin cells with 6 and 10 µL gs-1 electrolyte. This suggests that the effective
loss of electrolyte was smaller than 4 µL gs-1. Therefore, it can be concluded
that the modified coin cell presented in this work had electrochemical proper-
ties that are comparable to a standard Li-S coin cell with a high S-loading
(>4 mgS cm-2), a moderate reversible specific capacity (~800 mAh gS-1) and a
relatively lean electrolyte volume (6–8 µL mgS-1). The sealing of the modified
cells were improved in Paper II and III, which enabled operando XRD meas-
urements with 6 µL mgS-1. Similar comparisons between the modified and
conventional cells are presented in the Supporting Information of the corre-
sponding manuscript.
30
Figure 4.1. Potential (E), internal resistance (R) and diffusion resistance coefficient (k) of the operando XRD cell (green) and two other unmodified coin cells with 6 (blue) and 10 (red) µL mgS
-1 electrolyte, respectively. The electrochemical parameters from the selected cycle (marked on the top of the panels) are plotted against the state of charge (SoC) represented by specific charge (Q). A complete plot with data from every cycle can be found in the supporting information of Paper I.
4.1.1.2 Operando XRD with concurrent resistance measurement
Figure 4.2 displays an overview of the operando XRD results with the elec-
trochemical properties plotted below it. The colour of the segments of the
curves of the potential, internal resistance and diffusion resistance coefficient
corresponds to the sulfur species present in the XRD pattern at the same time.
The initial orthorhombic α-S disappeared as the upper discharge plateau ended
in the first C/50 discharge. The internal resistance, which is the sum of solu-
tion and charge transfer resistance,49 decreased by a factor of one third as the
dissolution of α-S freed up the conductive surface in the porous carbon matrix
of the positive electrode. The internal resistance subsequently rose to a peak
situated at the SoC level between the two plateaus, which can be attributed to
the increased solution resistance caused by the high polysulfide concentration
at this SoC level,49,64,65 where no crystalline sulfur species were detected by
XRD. After one third of the lower discharge plateau, broad peaks of Li2S
31
started to appear in the XRD patterns. These can be ascribed to the very small
grain size and/or low crystallinity of Li2S according to previous work.66–68
Figure 4.2. Operando XRD data plotted against time. The XRD patterns are displayed as a heat map at the top, followed by the potential (E), internal resistance (R) and diffusion resistance coefficient (k). Error bars for R and k are estimated by the stand-ard deviation from the linear regression.
As soon as the cell was charged at C/25 in the first cycle, both the internal
resistance and diffusion resistance coefficient dropped immediately, although
32
there was still considerable intensity of the diffraction peaks of Li2S. This be-
haviour can be found in every cycle and corresponding data has also been
reported in EIS studies of Li-S cells.49,69,70 At the end of charging, elemental
sulfur crystallized in the monoclinic structure (β-S) instead of the initial or-
thorhombic structure (α-S). The formation of the thermodynamically less fa-
vourable allotrope have been frequently observed in previous operando XRD
works67,68,71 and has then been argued to be a consequence of precipitation
kinetics68.
The C-rate for both discharge and charge was then switched to C/10 for the
remainder of the cycles. After the second cycle, the internal resistance de-
creased and stabilized around the fourth cycle. The diffusion resistance coef-
ficient stayed roughly the same, but the error bars were much smaller after the
second cycle due to the larger current.
A trend in the diffusion resistance can be observed in Figure 4.2 after the
fourth cycle, where the profile of the internal resistance also had stabilized.
As Li2S appeared in the XRD patterns, the coefficient of diffusion resistance
jumped from below 5 Ω s-0.5 cm2 to a plateau around 12 Ω s-0.5 cm2, and there-
after increased rapidly again at the end of discharge. Upon charging, it
dropped immediately below 5 Ω s-0.5 cm2; the same as its value when there
was no Li2S detected. Since the diffusion resistance reflects the transport prop-
erties in the positive electrode, it is not surprising that it is influenced by the
evolution of Li2S. Nevertheless, it is interesting that the effect is asymmetric
upon discharging and charging.
4.1.1.3 Impact of Li2S precipitation on the transport properties inside
the porous carbon matrix
To further analyse the correlation between the diffusion resistance and the
amount of Li2S, the diffusion resistance coefficient is plotted against the inte-
grated peak area of the 111 reflection of Li2S in Figure 4.3. As shown in Equa-
tion (3.4), the diffusion resistance coefficient increases when the solution re-
sistance (R´) inside the porous carbon increases and/or the capacitance (C) of
the carbon surface decreases. The morphology of Li2S growth on open struc-
ture carbon matrices, e.g. carbon nanotube scaffolds, has previously been stud-
ied by SEM.35,37 These studies suggested that the precipitation proceeds as a
two-dimensional growth covering the surface of the conductive carbon after
nucleation. Therefore, an explanation for the slow increase of the diffusion
resistance coefficient when Li2S started to appear in the XRD could be the
drop in capacitance, stemming from the progressive coverage of the surface
of the pores in the carbon matrix.
As the Li2S phase continued to grow, more and more volume fraction of
the pores was occupied by insulating particles, instead of ion-conducting elec-
trolyte. This resulted in the increase in the solution resistance inside the pores
(R´) and consequently the diffusion resistance coefficient (k). On prolonged
33
discharge, the precipitates of Li2S may block the pores and the channels be-
tween them. Therefore, the diffusion resistance increased sharply, leading to
the termination of discharge. This reasoning is supported by several operando
spectroscopic experiments, which have demonstrated the presence of polysul-
fides in the positive electrode at the end of discharge.68,72,73
Figure 4.3. Diffusion resistance coefficient (k) plotted against the integrated area of the 111 reflection of Li2S. Data are from the fourth to the eighth cycles.
In summary, Paper I demonstrated the value of coupling a materials charac-
terisation technique with simultaneous resistance measurements. More de-
tailed discussion about the combined observations are elaborated in Paper II.
4.1.2 From Cell Parameters to Electrochemical Performance
On the basis of the experimental framework developed in Paper I, the work
in Paper II applied the methodology to a series of Li–S cells to understand
how the Li2S precipitation is altered by different parameters of the cells and
how the precipitation in turn impacts their electrochemical properties. The
sealing of the modified coin cells was improved by using aluminium-coated
polyimide films, which rendered comparable electrochemical performance of
the operando cells with the same E/S ratio as the commercial coin cells, as
demonstrated in the Supporting Information of Paper II. The integrated in-
tensity from the uniform polyimide films also served as a normalising stand-
ard, which allowed a comparison between multiple cells. Moreover, the higher
34
X-ray transmission of the new sealing enabled the collection of an XRD pat-
tern every 15 minutes, which is one fourth of the time required previously.
4.1.2.1 Effect of the sulfur-loading and E/S ratio
Four cells with two sulfur-loadings and two E/S ratios were fabricated with
the otherwise identical components to cross-examine the influence of both pa-
rameters. In contrast to Li-ion batteries, the electrode thickness and the elec-
trolyte amount have been well-recognised to be important factors in the spe-
cific capacity, which is proportional to the utilisation of active material, of the
Li–S system, even at low C-rates.20,51,54,74,75 However, their influence on the
electrochemical properties has not been fully mechanistically explained.
Two major sources of resistances appearing when a Li–S cell discharges
are the solution resistance which increases with the polysulfide concentration,
and the charge-transfer and/or diffusion resistances raised by the precipitation-
related processes. The viscosity of the electrolyte increases with the concen-
tration of polysulfides in the catholyte, which has its maximum between the
two discharge plateaus (see Figure 1.1).76 The effect of the precipitation is
more complicated. Initially, it actually reduces the solution resistance since it
removes polysulfides from the electrolyte, which can be observed in the de-
crease of internal resistance right after the voltage entered the lower plateau;
see Figure 4.4. However, the subsequent formation of Li2S deteriorates the
carbon matrix, as discussed in the previous chapter.
At the same sulfur-loading, the increase in E/S ratio decreases the concen-
tration of the polysulfides in the catholyte, which can be observed by the lower
peak in the internal resistance between the two discharge plateaus. The lower
polysulfide concentration also leads to a lower rate and amount of precipita-
tion. With less insulating precipitates, the ionic transport inside the porous
electrode remains undisturbed, as indicated by the low diffusion resistance
coefficient until the sudden increase at the end of discharge. However, the low
polysulfide concentration in the electrolyte could cause a more difficult re-
trieval of active material, resulting in a rapid increase in diffusion resistance.32
The mass transport overpotential may also have terminated the discharge pro-
cess earlier in comparison to the cell at a lower E/S ratio, and thus leading to
lower specific capacity.
35
Figure 4.4. Potential (E), internal resistance (R), diffusion resistance coefficient (k), normalised intensity of the 111 peak of Li2S (I) and its rate of changing with respect to the total charge passing through the cell (dI/dq) for cycle 5 plotted against the spe-cific capacity (Q). Data on discharge and charge are in blue and red, respectively. See Paper II for a detailed description.
The effect of sulfur-loading was more obvious at E/S = 6. Comparing the first
and third columns in Figure 4.4, the major difference can be identified as the
internal resistance. Since the precipitation rate, reflected by dI/dq, is similar
in both cells, the difference in the internal resistance, especially on the lower
discharge plateau, could be caused by the non-uniform reaction progress in
the axial direction of the electrode with higher sulfur-loading. The shorter up-
per discharge plateau of the cell with higher loading may also suggest an in-
complete dissolution process as a result of less homogeneous reactions across
the electrode.
36
4.1.2.2 Effect of the specific current
The impact of the specific current on the formation of Li2S can be found in
Figure 4.5.
Figure 4.5. Potential (E), internal resistance (R), diffusion resistance coefficient (k), normalised intensity of the 111 peak of Li2S (I) and its rate of changing with respect to the total charge passing through the cell (dI/dq) of the cell ‘S-L=2.5 E/S=6’ cycled at C/10, C/5, C/2 and C/20 are plotted against the specific capacity (Q). Data on dis-charge and charge are in blue and red, respectively. See Paper II for a detailed de-scription.
The first cell in Figure 4.4, ‘S-L=2.5 E/S=6’, was cycled at different C-rates.
An obvious feature in the results at C/2 was the missing lower plateaus. The
surge of the internal resistance could result from a more extreme case of non-
uniform reaction progression. It could be speculated that the Li+ transport in-
side the positive electrode cannot catch up with the high electronic current, so
37
the polysulfides on the separator have to be reduced further into shorter-
chained polysulfides, which causes the solution resistance to rise substantially.
A more mild case could happen at C/5, where the internal resistance between
the two discharge plateaus is substantially higher than that at C/10. The as-
sumption of the transport limitation of Li+ is supported by the peak of the dif-
fusion resistance coefficient at the same SoC.
At C/20, an increasing trend in dI/dq could be observed, which suggested
that the precipitation is accelerated towards the end of discharge. This indi-
cated a more homogeneous reaction progress in the positive electrode, where
the polysulfides had a narrow distribution of oxidation states. Since the for-
mation of Li2S should be the final step of the reduction, the precipitation was
concentrated at the end of discharge.
4.1.2.3 Effect of the electrolyte salt with a high donor number
In the last part of Paper II, the influence of the electrolyte salt was studied by
replacing 50% of LiTFSI with LiBr. It has been previously reported that LiBr
promotes the disproportionation reactions between polysulfides, which en-
hances sulfur utilisation in a non-encapsulating carbon matrix,33 as discussed
in detail in the manuscript. Here, this effect was tested in an S/C electrode
optimised for the specific surface area. Despite the higher precipitation rate,
the discharge capacity was not higher than for the cell with standard electro-
lyte. As demonstrated by the larger I/qd,l values of the cell with LiBr in Table
4.1, more Li2S was formed for the same amount of charge passed during the
lower discharge plateau. This could explain the high overpotentials observed
from the cell.
38
Table 4.1. Comparison of the specific discharge capacity (Qd,l) and total discharge capacity (qd,l) of the lower plateau, integrated intensity of the 111 reflection of Li2S (I), full-width half-maximum (FWHM) of the reflection from the second last meas-urement during discharge (to avoid current switching during the measurements) and ratio of the intensity to the total discharge capacity of the lower plateau (dI/dqd,l) of the cells. Standard deviations are in brackets. See Paper II for the full table.
Cell C-rate Qd,l /
mAh gS-1
qd,l /
mAh
I / a.u. FWHM / ° I/qd,l /
mAh-1
S-L=2.5
E/S=6
C/10 725 2.434 11.5(3) 1.22(2) 4.7
C/5 613 2.060 11.1(3) 1.36(3) 5.4
C/2 0 0 0 n/a n/a
C/20 761 2.556 13.3(3) 1.19(2) 5.2
S-L=2.5
E/S=10 C/10 627 2.091 8.2(2) 1.10(3) 3.9
S-L=3.3
E/S=6
C/10 710 3.140 14.4(3) 1.16(1) 4.6
C/10 724 3.203 14.8(3) 1.22(1) 4.6
S-L=3.4
E/S=10 C/10 529 2.378 5.4(2) 1.11(4) 2.3
S-L=3.3
E/S=6
TFSI/Br
C/10 515 2.285 15.4(3) 1.31(2) 6.7
C/20 613 2.718 19.0(3) 1.32(1) 7.0
C/13 470 2.085 14.1(3) 1.38(2) 6.8
39
4.1.3 Dissolved, Crystalline and Amorphous Sulfur Species
In Paper III, the experimental framework used in the previous two papers
was expanded by incorporating small-angle X-ray and neutron scattering to
characterise the discharge process at both the micro- and mesoscales.
4.1.3.1 Small-angle scattering data in three contrasts
As mentioned in chapter 3.2.4, the intensity of the scattering depends on the
contrast of SLD between the scatterer and its surrounding. In addition to the
intrinsic different contrasts with X-ray and neutron, the SANS experiments
were carried out with deuterated and hydrogenous electrolytes. These cells
were referred to as “SANS-D” and “SANS-H” cells, respectively, while the
SAXS measurements was conducted on the “SAXS” cell. The scattering data
from the three cells are displayed in Figure 4.6.
Figure 4.6. Azimuthally averaged SAS data from the first discharge of the cells a) SANS-D, c) SANS-H and d) SAXS and b) the first charge of the SANS-D cell. The intensity (I) was plotted against the momentum transfer (q). The measurements of the SANS-H and SAXS cells during the first charge can be found in the Supporting In-formation of Paper III.
40
In spite of the obvious variations in the scattering curves from the SANS-
D cell at different SoC, the scattering results from the SANS-H cell were prac-
tically constant throughout the SoC. Based on the SLD diagrams in Figure 4.7,
the lack of change from the SANS-H cell indicated that the structure of the
carbon matrix is not altered by the precipitation. Although the variations in
the scattering curves of the SAXS cell were not as apparent as those of the
SANS-D cell, the SAXS measurements were normalised to the transmission.
Thus, the changes could still be analysed when the background was sub-
tracted, as shown in Figure 4.8.
Figure 4.7. Schematic diagram of scattering length density of the main components of the positive electrode with a) neutron and b) X-ray (λ = 1.54 Å) at various states of discharge or charge. See Paper III for the full description.
Figure 4.8. a) The intensity difference (∆I) between the data from selected states of discharge in the first cycle and the first measurement in the SANS-D cell plotted against the momentum transfer, q. b) The square of the intensity difference (∆I2) be-tween the data from selected states of discharge in the first cycle and the first meas-urement in the SAXS cell plotted against q. ∆I2 was plotted because ∆I is mostly neg-ative above 0.1 Å-1. See Paper III for the ∆I-q plot.
41
It can be observed in Figure 4.8 that the scattering results from both SANS-
D and SAXS cells show two intensity contributions, one above 0.1 Å-1 and the
other between 0.1 and 0.3 Å-1. Since the contribution at lower q-range was
positive in SANS results but negative in SAXS measurements, it was not the
same as that at higher q-range, which contributed positively in both SANS and
SAXS. Therefore, a model with two independent spherical objects was used
to fit the data from both SANS-D and SAXS cells. The detailed description of
the model could be found in the experimental method of Paper III.
4.1.3.2 Interpretation of the two-sphere model
The parameters from the fitting results of the data from SANS-D and SAXS
cells are demonstrated in Figures 4.9 and 4.10.
Figure 4.9. The scale factor, scale; radius, r; potential, E; internal resistance, R; and diffusion resistance coefficient, k, of the positive electrode of the cell SANS-D during discharge and charge cycles. A two-sphere model was applied to fit the intensity dif-ference, ∆I, between the SANS data for each time interval and the first measurement. The parameters of the two sphere distributions are plotted in different colours and symbols. The scale factor here is the product of a term that would correspond to the number density of the objects that give rise to scattering and the square of the differ-ence in scattering length density, ∆ρ2. The first discharge and charge were at C/20 and C/10, respectively. The second and third cycles are at C/10 and C/5, respectively.
42
Figure 4.10 The scale factor, scale; radius, r; the integrated intensity from the 111 diffraction peak of Li2S, IWAXS; the potential, E; internal resistance, R; and diffusion resistance coefficient, k, of the positive electrode of the cell SAXS. A two-sphere model was applied to fit intensity differences, ∆I, between the SAXS data in each interval and the first measurement. The respective parameters for each distribution of spheres are plotted in a specific colour and shape. The scale factor here is the product of a number concentration of scattering objects and the square of the difference in scattering length density, ∆ρ2. The cell was discharged at C/50 and charged at C/25 in the first cycle, and subsequently cycled at C/10.
By comparing the second cycle from the SANS-D cell and the third to fifth
cycle of the SAXS cell, which were all cycled at C/10, the radius of the smaller
sphere, which are plotted in green squares, is consistent with both fitted re-
sults. The scale factor also follows the same trend, but the values are larger in
43
the fitting of the SANS results due to the different contrasts. The trend in the
scale factor of the smaller sphere matches that in the intensity from WAXS.
Thus, it could be concluded that the small sphere in the model accurately de-
scribed the Li2S precipitates.
The larger sphere, whose parameters are plotted in orange triangles,
showed a drop in scale factor but increase in radius at the end of second in
Figure 4.9. The same trend could also be observed in the results from SAXS
although the magnitudes were smaller. The larger sphere could thereby be as-
signed to the mesopores of the carbon matrix filled with catholyte. The evolu-
tion of the larger sphere near the end of discharge could then be attributed to
a drop in Li+ concentration, which would result in the dashed lines in the
scheme of SLD in Figure 4.7. Such shifts in SLD, both for X-ray and neutron,
would be consistent with the evolution of the larger spheres in Figures 4.9 and
4.10.
4.1.3.3 What stops the discharge process?
With the two spheres in the model assigned, further analysis could be carried
out to determine which parameter is correlated to the diffusion resistance of
the positive electrode. In Figure 4.11, the diffusion resistance coefficient was
plotted against the scale factors of the smaller and the larger spheres. In cycles
3–5, which showed reproducible features at C/10, the correlation between the
diffusion resistance coefficient and the scale factor of the smaller sphere re-
sembled the correlation between the diffusion resistance coefficient and the
diffraction/WAXS intensity from Li2S, as shown in Figure 4.3. Both indicated
that there was a sudden increase in the diffusion resistance when the amount
of Li2S reached a certain level. In the first manuscript, this correlation was
interpreted as the parabolic increase in k when the volume fraction of Li2S in
the pores grows linearly, as elaborated in Paper I.
Figure 4.11. The diffusion resistance coefficient (k) plotted against a) the scale factor for the smaller sphere, scaleB, and b) the scale factor for the larger spheres, scaleA, from the fitting results for the SAXS data shown in Figure 4.10.
44
Here, with the additional information on the catholyte in the mesopores, Fig-
ure 4.11b showed a more direct correlation between the drop in Li+ concen-
tration in the mesopores and the increase in the diffusion resistance. This
strongly suggested that a lack of Li+ inside the carbon matrix terminated the
discharge process at a medium C-rate, e.g. C/10 and C/20 in this study. How-
ever, this does not rule out the deterioration of the transport properties inside
the positive electrode caused by the formation of insulating Li2S particles. In
fact, the worsened transport properties could also contribute to the Li+ defi-
ciency inside the mesopores at the end of discharge.
In the first discharge, where the current was lower at C/50, of the SAXS
cell, the decreased slope in the diffraction intensity from Li2S and the linear
increase of the scale factor of the smaller sphere near the end of discharge
indicate the formation of amorphous solid discharge solid products, e.g. Li2S2,
which was proposed in previous operando XRD studies.36 The formation of
discharge products which require less Li per unit of S than Li2S, supported the
above observation of Li+-deficiency near the end of discharge.
Figure 4.12. Scheme summarising the discharge and charge processes during the lower voltage plateau, as described above. The approximated states of discharge (SoD) and charge (SoC) are shown at the bottom. The colour of the electrolyte inside the pores of the carbon indicates the Li+ concentration, which starts to drop inside the small pores. At a medium C-rate, C/10, the discharge process is stopped by the defi-ciency of Li+ inside the mesopores, whereas, at a low C-rate, C/50, less Li+-demanding LixSy forms and more discharge capacity can be delivered.
45
4.2 Investigations into the Cycle Life Limitations
The work in this chapter developed techniques to probe an operating Li–S
along its cycle life. Although the electrochemical methods are inherently “in-
situ” for a battery, attention needs to be paid to minimise the disturbance of
the measurements to the operation of the system, so that the methods can ap-
proach the full definition of “operando”.
4.2.1 Electrochemically Active Surface Area over Cycling
4.2.1.1 Method development in symmetric cells
As mentioned in the experimental methods, in this subchapter, a method for
quantifying the electrochemically active surface area of the positive electrode
was developed by characterising the capacitor element in the low frequency
range of the impedance spectra. Since the capacitance per unit area of carbon
is typically 10 µF cm-2,77 the capacitance derived from the impedance meas-
urement can be converted to the electrochemically active surface area.
The method was first verified in symmetric cells with electrodes made with
carbon nanotubes (CNT), which have well-defined pore structure. The sym-
metric cells avoided the interference from the redox reactions and thus sim-
plified the equivalent circuit. The porous electrodes were fitted with the de
Levie pore finite element (Ls) in the ZView software, whose impedance ZLs
can be written as:
𝑍𝐿𝑠 =𝑅𝐿𝑠
Λ0.5cot(Λ0.5) (4.1)
𝑤ℎ𝑒𝑟𝑒 Λ =1
𝐴𝐿𝑠+ 𝐵𝐿𝑠(𝑗𝜔)𝜙𝐿𝑠
In addition to the symbols introduced in chapter 3, RLs is the solution resistance
inside the pores, BLs is a parameter proportional to the electrode effective ca-
pacitance, ALs is a parameter proportional to the charge-transfer resistance and
φLs is the constant phase exponent, which accounts for the nonideality of the
capacitor. Since there should not be charge-transfer reactions in the symmetric
cells, ALs was set to 1020 in this work, so the element is equivalent to the finite
space Warburg element. The impedance spectra from the symmetric cells
could then be fitted with the ECM in Figure 4.13a, which also includes other
elements to account for the impedance from the electrolyte and the metallic
current collectors. The derivation of the capacitance from the above parame-
ters are elaborated in Paper IV.
46
a) b)
Figure 4.13. Equivalent circuits used to fit impedance data, and their corresponding impedance response. a) Resistor coupled, in series, to a combination of a constant-phase element (CPE) and a resistor in parallel, and then coupled, in series, to a de Levie pore finite length element with infinite charge transfer resistance. b) Resistor coupled, in series, to a combination of a CPE and a resistor in parallel. For simplicity, the impedance plots illustrate the ideal behaviour with unity values of the exponent of the CPE and de Levie elements.
Although fitting the spectra with the ECM in Figure 4.13a was theoretically
thorough, it involved several parameters that were not really required for ex-
tracting the capacitance of the electrode. Alternatively, the fitting could be
restricted to the low frequency range, where the capacitive behaviour was
dominant. The other impedance contributions at higher frequencies could then
be reduced to a resistor while the capacitive tail was fitted as a constant phase
element (CPE), whose impedance is:
𝑍𝐶𝑃𝐸 =1
𝑄𝐶𝑃𝐸(𝑗𝜔)𝑃𝐶𝑃𝐸(4.2)
where QCPE is the capacitance parameter in the unit of F s-(1-PCPE) and PCPE is
the exponent. It can be observed that if PCPE equals one, Equations 4.2 will be
analogous to Equation 3.10, which shows the impedance of a capacitor. A
resistor (Rct) was added in parallel to the CPE to account for the very slow
redox reactions that may be present in the Li–S cells, which are discussed be-
low. The resulting ECM is displayed in Figure 4.13b. The double-layer capac-
itance Cdl of the CPE in the ECM could be calculated by:78,79
𝐶𝑑𝑙 = 𝑄𝐶𝑃𝐸
1𝑃𝐶𝑃𝐸 (
𝑅𝑡𝑜𝑡𝑅𝑐𝑡
𝑅𝑡𝑜𝑡 + 𝑅𝑐𝑡)
1−𝑃𝐶𝑃𝐸𝑃𝐶𝑃𝐸
(4.3)
In the symmetric cells, since two identical electrodes were in serial, the capac-
itance of each electrode was twice the value of Cdl calculated above. A series
of CNT electrodes with and without sulfur infiltration were coated on several
different metallic current collectors and characterised by this method. It can
47
be observed in Figure 4.14 that all the electrodes showed a specific surface
area (SSA) close to the value obtained from a S/CNT electrode by nitrogen
adsorption-based method (based on Brunauer–Emmett–Teller (BET) theory).
This indicated that some pores, most likely the micropores (<2 nm), which are
accessible to the small nitrogen molecules, are not approachable by the larger
ions in the electrolyte.
Figure 4.14. Results of the specific surface area (SSA) of carbon in CNT and S/CNT electrodes, coated on different substrates, as indicated. The results of the BET specific surface areas are also shown to facilitate comparison. The specific surface area values are normalised by the mass of carbon, and the carbon loading values are normalised by the geometrical area of the electrode. See Paper IV for the complete description.
4.2.1.2 Mismatching trends of electrochemically active surface area
and the discharge capacity
The execution of the above method in a Li–S cell is much simpler if the im-
pedance of the redox reactions is excluded. Therefore, a test protocol was de-
signed to cycle the cell at a constant current between 1.8 and 2.6 V but raise
the potential to 2.8 V every five cycles when the cell reached 2.6 V. The in-
crease in potential should minimise the residual polysulfides in the electrolyte
and thus the redox reactions. Moreover, the protocol ensured that the imped-
ance measurements were conducted at the same SoC and that the deviation
from a standard cycling program is minimal. The electrochemically active sur-
face area of the positive electrode was tracked over 160 cycles, as demon-
strated in Figure 4.15. The SSA decreased in the initial cycles but stabilized
above 200 m2 gC-1 from the 50th cycle to the end of the cycling. The specific
capacity of the cell followed the same trend in the beginning but showed a
continuous decrease since the 80th cycle. The stable SSA during the capacity
fade indicated that there was little correlation between them. This observation
demonstrated that the positive electrode was not irreversibly passivated by the
48
insulating sulfur species, e.g. Li2S, as the discharge and charge processes re-
peated. Therefore, the decrease in capacity, which seems to occur without any
extensive passivation, should be caused by other factors.
Figure 4.15. a) Specific surface area (SSA) of carbon in the optimised S/C electrode formulation used in a Li-S cell (with carbon loading of 1.79 mgC cm-2). b) Cycle per-formance of the same Li-S cell.
49
4.2.2 Resistance Distribution and Its Evolution
As mentioned in chapter 1.2.2, the metallic Li is not an ideal counter electrode,
even when it is in excess amount. The previous chapter also revealed that the
positive electrode was not passivated irreversibly. In Paper V, a three-elec-
trode cell setup for the Li–S system was developed to resolve the resistance
contributions from the positive and negative electrodes, which could locate
where the deterioration of the system originates.
4.2.2.1 Three-electrode setup and the initial resistance distribution
The three-electrode cell is made by a simple modification of the conventional
coin cell, as sketched in Figure 3.3. A polyimide-wrapped gold microwire
(ø50 µm) was placed between two separators in the middle of the positive and
negative electrodes and then fit in the groove of the polypropylene gasket of
the coin cell before the cell was closed. The first method to employ the gold
wire as the reference electrode (RE) was to lithiate it to form LixAu (x = 0–1),
which had a stable potential of 0.31 V vs Li/Li+ and could thus be used as a
true RE.80,81 Alternatively, it was found that the gold wire could also serve as
a pseudo-RE in a Li–S cell without additional treatments thanks to the depo-
larising nature of the polysulfides in the electrolyte. Although pseudo-REs
may cause artefacts in the high frequency range of impedance measurements,
the resistance measured here by the ICI method is not affected. In addition,
the pseudo-RE showed better long-term stability since it avoided the reactions
with polysulfides that LiAu encountered at 0.31 V vs Li/Li+.
It may be worth mentioning that several other three-electrode cell designs
were tried, but there were difficulties in either controlling the electrolyte
amount at cell assembly or preserving the electrolyte during cycling. A com-
parison of the electrochemical properties of several cell setups can be found
in the Supporting Information of Paper V. The above issues might explain
why there has not been reports on long-term cycling of a three-electrode Li–S
cell in the literature.
The resistance distribution between the positive and negative electrodes in
the 10th cycle of four cells with different experimental parameters is exhibited
in Figure 4.16. The positive and negative electrodes were referred to as work-
ing electrode (WE) and counter electrode (CE) in the manuscript since the cell
is strictly speaking a half-cell, of which the CE is larger than the WE. The
cells were labelled with the E/S ratio and the type of the RE. From the two
columns on the left, it could be observed that the profiles of internal resistance
and diffusion resistance coefficient measured by the LiAu RE and the Au
pseudo-RE were in good agreement, despite the difference in the relative val-
ues of the potential. At a higher E/S ratio, e.g. 10, the internal resistance was
evenly distributed between the two electrodes while the diffusion resistance,
mostly at low SoC, was predominantly contributed by the S/C composite elec-
trode. The same trend in diffusion resistance was also shown by the cells with
50
an E/S ratio of 6, although the diffusion resistance coefficient of the WE
started to increase earlier during discharge. The reasons for this phenomenon
were explored previously in chapter 4.1.2. The internal resistance was also
dominated by the contributions from the S/C electrode during the lower dis-
charge plateau at E/S = 6.
Figure 4.16. Potential (E), internal resistance (R) and diffusion resistance coefficient (k) of the cell, working (WE) and counter (CE) electrodes in the 10th cycle. The E/S ratio, RE of each cell are marked. The sulfur-loading of the cell marked with ‘HL’ is 3.2 mgS cm-2 while that of the other three cells is 2.5 mgS cm-2. R and k of the WE, CE and the cell in all cells are higher during discharging than during charging, except for R at the end of charging of the two cells with E/S = 6. Note that the CE potential is approximately 0 V – ERE, and the cell voltage is identical for all cell.
51
4.2.2.2 Resolving resistance growth from the positive and negative
electrodes along cycle number
The evolution of the resistance contributions from both WE and CE in the first
cell in Figure 4.16 is demonstrated in Figure 4.17. From the 10th cycle in Fig-
ure 4.16 to the 60th cycle here, the resistance profiles did not vary noticeably.
However, the internal resistance of CE started to rise in the 70th cycle while
that of the WE remained at the same level. A substantial increase in the diffu-
sion resistance of the CE could also be identified near the end of discharge.
Both of these resistance growths on the CE continued in the 80th cycle, but the
RE did not function completely properly, as indicated by the negative diffu-
sion resistance coefficients.
Figure 4.17. Potential (E), internal resistance (R) and diffusion resistance coefficient (k) of the cell, working (WE) and counter (CE) electrodes in the 50th, 60th, 70th and 80th cycle of the cell with E/S = 10 and a Au pseudo-RE, i.e. ‘3-e E/S = 10 Au’ in Figure 4.16.
52
An overview of the resistance evolutions in all four cells is displayed in
Figure 4.18. The median of the internal resistance of the CE increased before
that of the WE, although the latter surpassed the former in the cell with the
higher loading. In Figure 4.18a, in the two cells with E/S = 10, the internal
resistance was dominated by the CE in the later cycles. This indicated that the
metallic Li electrode limited the cyclability of these Li–S cells even though it
had much excess capacity. This implication supported the conclusion from the
previous chapter, which stated that the passivation of the S/C electrode did not
affect the cycle life.
Figure 4.18. The median (solid line), maximum and minimum (ribbon) of the internal resistance (R) in each cycle of cells with a) E/S = 10 and b) E/S = 6. Note that the scales are different in parts a and b. The maximum of the y-axis is set to 60 (a) and 350 (b) for the clarity. The data from first 8 cycles of the cell ‘3-e E/S = 10 LiAu’ have large noise in R due to the insufficient resolution of the potentiostat, which was changed after the 9th cycle.
53
5 Conclusions
This thesis can be concluded by answering the two research questions that
were raised in chapter 2: What mechanisms limits the discharge capacity of
these cells? And what limits their cycle life?
To answer the first question, an experimental framework for the investiga-
tion of an operating positive electrode was established in Paper I by the de-
velopment of both an electrochemically equivalent modified cell for X-ray
based techniques and an electrochemical method that enabled simultaneous
measurements of the internal and diffusion resistances. The correlation be-
tween the amount of the insulating precipitates and the transport properties
inside the carbon matrix was revealed by the concurrent crystallographic and
electrochemical characterisations. Based on this framework, Paper II built
the missing mechanistic link between the parameters of Li–S cells and their
electrochemical performance by comparing the real-time variation of Li2S in
a series of consistent operando XRD cells. The experimental framework was
subsequently enhanced by incorporating small-angle X-ray and neutron scat-
tering techniques in Paper III, which revealed information about not only the
crystalline and amorphous solids but also the catholyte in the mesopores of
the carbon matrix. With the synchronous resistance measurements, a correla-
tion between the drop in Li+ concentration and the increase in diffusion re-
sistance was identified at medium C-rates. The formation of less Li-demand-
ing amorphous precipitates at a low C-rate corroborated this finding.
To summarise the first three papers and answer the first question, the ionic
transport can be identified as the main limiting factor for the discharge capac-
ity of a highly porous S/C composite electrode. At high C-rates, the discharge
process was terminated by the surge in solution resistance caused by a non-
uniform current distribution, as exhibited in Paper II. At medium C-rates, the
discharge process was stopped by the rapid increase of diffusion resistance,
which is correlated to a decrease in Li+ concentration inside the carbon matrix,
as demonstrated in Paper III. At low C-rates, higher sulfur utilisation rate was
achieved by forming amorphous discharge product in the last stage of dis-
charge, as observed in Paper III. However, if the amorphous product is Li2S2,
as the literature suggests,36 the discharge capacity will be limited by the solid-
state kinetics of the following reduction to Li2S. These observations implicate
that sustaining the flow of Li+ into the carbon matrix may be the key to en-
hance the sulfur utilisation in an encapsulating cathode.
54
To answer the second question, an investigation was first conducted on a
widely-presumed cause for the short cycle life of Li–S cells: cathode pas-
sivation. To precisely characterise the degree of passivation of a cycling S/C
electrode, an EIS-based technique was developed and verified in symmetric
cells. A test protocol was subsequently designed to measure the electrochem-
ically active surface area while minimising the disturbance to the cycling cell.
The observed stable surface area while the discharge capacity dropped sub-
stantially ruled out cathode passivation as a major cause of the short cycle life.
Finally, the attention was turned to the negative electrode. With the develop-
ment of a reliable three-electrode setup, the resistance contributions from the
positive and negative electrodes was resolved. The long-term measurements
revealed a faster increase in internal resistance on the negative electrode. This
not only indicated that metallic Li limited the cycle life, but also implicated
that the common practice of testing S/C electrodes in a “half-cell” with a me-
tallic Li counter electrode should be reconsidered.
In conclusion, this thesis work has not provided a solution to the problems
of the Li–S system, but it was never the true intention. Instead, it may in fact
have revealed more problems by attempting to push the boundaries of charac-
terising such a complex electrochemical system. The two main research ques-
tions raised here have been discussed frequently in the field. Until now, how-
ever, there is still limited fundamental understanding of the discharge process
and the limitation of the cycle life. Hopefully, the observations here can serve
as references for the future development and the methodology originated from
the works can inspire more sophisticated characterisation techniques, thereby
contributing to the advancement of the Li–S batteries.
55
6 Sammanfattning på svenska
Litium–svavelbatterier har betraktats som en av de mest lovande kandidaterna
för nästa generation av batterier, främst på grund av deras höga teoretiska
energiinnehåll per enhet massa (2552 Wh kg-1) och den stora mängden svavel
som kommer som en biprodukt från petroleumindustrin. Hittills har kommer-
siella litium-svavelbatterier uppvisat en energitäthet på 400 Wh kg-1, vilket
förvisso är överlägset många andra kommersiella batterier, men långt ifrån det
teoretiska värdet. Samtidigt innefattar litium-svavelbatterier andra problem
som i allmänhet inte är associerade med vanliga litium-jonbatterier. Exempel
på detta är en begränsad användning av det aktiva materialet och en kort livs-
längd för batterierna. Dessa problem härrör från de unika reaktionsmekan-
ismerna i svavel/kolkompositelektroden, som utgör batteriets positiva elek-
trod, och den låga reversibiliteten för den metalliska litiumelektroden, som är
den negativa elektroden.
Den komplicerade reaktionsmekanismen i den positiva elektroden är en av
anledningarna till det låga utnyttjandet av aktiva materialet. Vid urladdning
genomgår elementärt svavel en serie intermediära reaktioner och reduceras så
småningom till litiumsulfid (Li2S). De intermediära produkterna (Li2Sx, x =
2–8) är lösliga i olika omfattning i de oftast använda eterbaserade elektroly-
terna. Därmed kommer det aktiva materialet i den positiva elektroden att lösas
upp och fällas ut vid varje urladdning eller uppladdning. Tillväxten av isolerat
svavel och litiumsulfid kan då störa jontransporten inuti den positiva elektro-
den, vilket resulterar i en ofullständig batterireaktion och minskad kapacitet.
Därför är det avgörande att undersöka upplösningen och utfällningen av den
isolerande fasta fasen i den positiva elektroden.
I denna avhandling undersöks litium-svavelbatterier under det att de an-
vänds – operando – med tekniker såsom röntgendiffraktion, neutronspridning
(’small-angle neutron scattering’, SANS) och röntgenspridning (’small-angle
X-ray scattering’, SAXS), i kombination med den elektrokemiska metoden
Intermittent Current Interruption (ICI). Detta har alltså utförts i realtid, när
batterierna upp- och urladdas. Hur den inre resistansen samt diffusionsresi-
stansen hos batteriet korrelerar med kinetiken för utfällningen av de kristallina
substanserna har bestämts med hjälp av operando-röntgendiffraktion. Genom
operando-SANS och -SAXS har bildandet av kristallina och amorfa fasta ur-
laddningsprodukter samt variationen av elektrolyt inuti elektrodens mesoporer
56
kunnat studeras och kopplas till funktionerna i resistansprofilerna. Dessa stu-
dier har visat att transportbegränsningar av joner inuti den positiva elektroden
är den huvudsakliga orsaken till det låga utnyttjandet av svavel under batteri-
ernas urladdning.
För att analysera problemet med kort livslängd undersöker det fjärde delar-
betet i avhandlingen hur den repetitiva utfällningen av litiumsulfider påverkar
funktionaliteten hos den positiva elektroden. En metod baserad på elektroke-
misk impendansspektroskopi har utvecklats för att spåra den elektrokemiskt
aktiva ytarean hos kolmatrisen in situ under omfattande battericykling. Under-
sökningen fann dock ingen tilltagande passivering av den positiva elektroden,
trots den snabba minskningen av specifik urladdningskapacitet. Därför kunde
slutsatsen dras att passiveringen av den positiva elektroden inte är en begrän-
sande faktor för batteriets livslängd, vilket tidigare har diskuterats. Vidare, för
att studera den negativa elektrodens inverkan på livslängden hos batteriet ut-
vecklades en tillförlitlig treelektrodsuppställning för litium-svavelceller.
Längre resistansmätningar med denna treelektrodcell avslöjade en snabbare
tillväxt av resistans hos den metalliska Li-elektroden vid upprepad upp- och
urladdning. Resultaten från dessa studier tyder därmed på att främst den ne-
gativa elektroden begränsar livslängden hos litium-svavelbatterier.
Sammanfattningsvis har denna avhandling uppvisat nya insikter i hur kemin
fungerar i litium-svavelceller under det att batterierna används. Dessutom har
värdet av parallella elektrokemiska och materialkaraktäriseringsmetoder på-
visats, och hur kombinationen av dessa är viktiga för att förstå det mycket
komplexa litium-svavelsystemet.
57
7 Acknowledgements
Again, I am rushing to submit my thesis at the last moment, just like two years
ago. I will try to do my best without wine but please forgive me if I miss any
name.
Thank you, Daniel, for your support to my work that sometimes gets a bit
expensive and crazy. I also appreciate that you went along with all my side
projects, which may be the reason why I am still writing now at the last mi-
nute. Matt, thank you for coming up with the idea of constantly stopping the
batteries and hiring me after listening to a presentation on DFT and CAL-
PHAD. I learned a lot during my PhD in through our sometimes cynical con-
versations/messages about science/ions.
I would also like to express my gratitude to my collaborators. Ashok, thank
you for answering to my spontaneous call at STOE and show me the way to
TOPAS. Keep calm and carry on doing ICI. Will, thank you for the urgent
manuscript revising, which just happened this week. Thank you, Adrian, for
all your help and guidance during my adventure in the small q-range. Thank
you, Nuria, Henry and John for all the great ideas and work that led to the
inspiring manuscript.
Of course, I am only still sane today thanks to the ålcoholics, Wolfgang,
Titania, Gustavito, Pachecito, Sarmad alltså, Marki, Money, Yoni, Laura,
Zacharia, DJ Cha Cha, Malaka, Tusa, Katalin, crazy rich German, uptight,
stinky, Robin, Rassi, and….aaaaaaaahhhhh. The deadline is chasing me……
58
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