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A Step-by-Step Examination of Electric
Vehicle Life Cycle Analysis
Jennifer B. Dunn1, Andrew Burnham1, Michael Wang1, Amgad Elgowainy1, Gerfried Jungmeier2, Linda Gaines1
1. Energy Systems Division, Argonne National Laboratory
2. Institute for Water, Energy, and Sustainability, JOANNEUM RESEARCH, Austria
LCA XIII Orlando, Florida
October 1, 2013
Vehicle and fuel cycles make up electric vehicle
life cycle analysis
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Material Acquisition and Production
Vehicle Assembly Disposal and Recycling
Battery Assembly
Material Acquisition and Production
Use
Feedstock Production
Feedstock Processing to Fuel
Fuel Distribution
Key issues in the fuel cycle
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Feedstock Production
Feedstock Processing to Fuel
Fuel Distribution
Feedstock identity (coal, biomass, natural gas, wind)
Efficiency For electricity:
average or marginal use
Key issues in the vehicle cycle
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Material Acquisition and Production
Vehicle Assembly Use Disposal and Recycling
Battery Assembly
Material Acquisition and Production
Energy intensity of key materials (steel,
aluminum, plastics)
Scrap Rates Variability in composition
Drive cycles
Technology availability Regulations
Energy intensity
Cathode identity Variation in energy intensity in
recovery of key metals
Overarching life cycle analysis issues
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System Boundary
Process
Co-product handling Emerging technologies
have little data
What is the right vehicle for the baseline?
Recycled materials?
Product A
Product B
State of electric vehicle life cycle analysis
Overall electric vehicle production and use
– Greater emphasis on electricity production for use than on vehicle production in literature
– Electricity source used to power EVs differs among studies, especially by country
– Unclear how electric vehicle use will affect grid
– Energy intensities associated with driving varies based on drive cycle and other assumptions (0.4 to 0.8 MJ/km)
– Different lifetimes (150,000 – 250,000 km)
Battery production and end-of-life
– Different cathode materials will cause different impacts
– Assembly energy intensity differs by a factor of 20 in literature reports
– Most EV LCAs do not include battery recycling, which can reduce impacts. Infrastructure and technology, however, are still in development.
Except for several specific scenarios involving carbon-intensive electricity sources, most studies report that electric vehicles offer lower life-cycle energy consumption and GHG emissions than comparable conventional vehicles.
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Dunn et al. Env. Sci. Technol., 2012, 46:12704 – 12710 Hawkins et al. , IJLCA, 2012, 17:997 – 1014.
Developing a materials inventory for vehicles
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Autonomie1 Vehicle fuel economy
Vehicle weight
ASCM2 Dismantling Reports Other literature Engineering Calculations
Vehicle Components • Body • Powertrain • Transmission • Chassis • Electric traction motor • Generator • Electronic controller
Battery • Startup (Pb-Acid) • Electric-drive
• Ni-MH • Li-ion
Fluids • Engine oil • Power steering fluid • Brake fluid • Transmission fluid • Powertrain coolant • Windshield fluid • Adhesives
1. Model developed at Argonne 2. Automotive System Cost Model, IBIS Associates and Oak Ridge National Laboratory
Steel, plastics, iron dominate passenger car materials
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Component ICEV PHEV20 EV Production Energy Intensity
(MJ/kg)
Steel 62.3% 66.3% 66.4% 47
Cast iron 10.9% 5.3% 2.0% 35
Wrought aluminum 2.2% 1.8% 1.0% 141
Cast aluminum 4.6% 4.7% 5.5% 41
Copper/brass 1.9% 4.3% 4.7% 39
Magnesium 0.02% 0.02% 0.02% 350
Glass 2.9% 3.0% 3.5% 20
Plastics 11.1% 10.6% 12.1% 89
Rubber 2.3% 1.7% 1.8% 55
Others 1.9% 2.2% 3.0% -
A. Burnham. “Update Vehicle Specifications in the GREET Vehicle-Cycle Model.” July 2012. GREET2_2012 Both at greet.es.anl.gov
Note: Table excludes battery
Energy and GHG intensities of key vehicle materials
are influenced by upstream and transformational
processes Steel
– Composite material used in calculations is 74% virgin, 26% recycled
– Virgin steel is combination of galvanized, cold- and hot-rolled steel
– Key contributor is steel production process itself
– Scrap rates during stamping can range from 38% to 42%
Aluminum – Alumina electro-reduction process is main electricity consumer
– Electricity mix varies by aluminum production facility
– Scrap rates influence results
Plastics – Fugitive methane emissions upstream of production play a role
– Plastic transformation processes contribute 10-22% of plastics cradle-to-gate energy intensity, 11-48% of cradle-to-gate GHG emissions
9 Burnham et al., J. Industrial Ecology, 2013
Argonne life-cycle inventory covers
battery production and recycling
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Lithium Brine
Li2CO3
Soda Ash
Lime
HCl
H2SO4
Alcohol
Mn2O3
LiMn2O4
PVDF (binder)
NMP (binder solvent)
LiPF6
Ethylene Carbonate
Dimethyl Carbonate
BMS
Graphite
Pet Coke
Assembly
Use
Recycling/Re-use/Disposal
Cathode Active Material Anode Binder Electrolyte BMS
Aluminum
Steel
Copper
Thermal Insulation
Plastics
Pyrometallurgical
Hydrometallurgical
Direct Physical
Intermediate Physical
Materials production
Materials production
Material Production
New GREET data
Battery assembly
Battery use (not included)
Battery recycling
Existing GREET data
Analysis Approach:
Top-Down versus Process-Level
Study Approach Cathode Matl Prod
(MJ/kg battery)
Assembly Energy
Consumption (MJ/kg battery)
% Assembly
Notter et al. 2010
Process-level
LiMn2O4 103 1.3 1.2%
Majeau-Bettez et al.
2011 Top-down
NCM and LiFePO4
125-129 80 39%
Zackrisson et al. 2010
Top-down LeFePO4 Not given 74 -
Dunn et al. 2012
Process-level
LiMn2O4 75-79 4.3 5%
If assembly is a large fraction of the cradle-to-gate impacts, recycling may be of minimal benefit.
Battery recycling could reduce energy consumption
of producing battery by up to 50%
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J. B. Dunn et al. Env. Sci. and Technol., 2012, 46:12704 – 12710
Battery consumes at most 3% of life-cycle energy
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Key: LMO: LiMn2O4 cathode LCO: LiCoO2 cathode
Parameters: Technology year = 2015 Lifetime: 260,000 km Fuel Economy: PHEV CD = 78 mpgge PHEV CS = 28 mpg BEV = 80 mpgge ICEV = 23 mpg Grid mix = US Avg 40% Coal 26% Nat Gas 21% Nuclear 13% Other ICEV fuel and PHEV CS fuel = Gasoline
In most electricity generation scenarios, EVs and
PHEV30s have less petroleum consumption and
GHG emissions on a life-cycle basis than ICEs
14 Active material = LMO
100,000 km decrease in vehicle lifetime increases
PHEV and BEV impacts per km but not above those
of ICE
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ICEV
US Grid Battery with LMO cathode
Summary of IEA Task 19 effort Life Cycle Assessment of Electric Vehicles - From raw material
resources to waste management of vehicles with an electric drivetrain
Inform policy and decision makers about electric vehicle LCA results and methodology
Improve end of life management of EVs by developing understanding of impacts of end-of-life options
Gain insight into how best to design for recyclability and minimal resource consumption
Establish a EV LCA research platform, including end-of-life
Disseminate EV LCA results and identify trends, data gaps
Hold a series of workshops to engage EV LCA experts in discussing key EV LCA data and methodology issues
– EV LCA methodology: December 7, 2012 in Braunschweig, Germany
– Material and Energy Flows: April 25-26, 2013 at Argonne National Laboratory
– End-of-life: October 9-10, 2013 in Davos, Switzerland
– Electricity production and distribution for EVs – to be determined
– Concluding workshop – to be determined
16 More information: http://www.ieahev.org/tasks/task-19-life-cycle-assessment-of-evs/
Concluding Remarks
Use phase drives electric vehicle LCA results and is influenced by a number of uncertainties – Drive cycle and resulting energy intensity of vehicle operation
– Electricity source, charging patterns
Makeup of EVs is somewhat uncertain given that these vehicles are not yet produced in large numbers
Transparency in underlying data and methodology for EV LCA is critical
Vehicle production impacts seem larger for EVs than for conventional vehicles but in the context of the vehicles’ overall life cycle, EVs have lower GHG emissions and energy consumption impacts.
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Acknowledgements
This study was supported by the Vehicle Technology Office of the Energy Efficiency and Renewable Energy Office of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357. We acknowledge David Howell and Jake Ward for his support and guidance.
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For more information: GREET website: greet.es.anl.gov Battery analysis website: http://www.transportation.anl.gov/technology_analysis/battery_recycling.html