in-company smart charging€¦ · • battery modelling • dutch incert • ev(se) system ......

In-Company

Dr. Ir. Steven Haveman

University of Twente

Future of Charging Symposium

10-3-2020

Smart ChargingDesign of an EV charging

system and simulation model

Who are we?

University of Twente - Department of Design Engineering

Systems Engineering & Multidisciplinary Design

Steven Haveman

Postdoc ResearcherMike Voss

Maarten Bonnema

Associate Professor

Roberto Reyes

Junior Researcher

The Presenter

The Author

“Electric Mobility

Team”

In-Company Smart Charging – Steven Haveman, University of Twente

10-03-2020 – Future Of Charging Symposium

bit.ly/TOMP-WG

• Research into MaaS

architectures, including

e-mobility & charging

• Standardization of

communication

• Research on EV Uptake

• Transnational Survey on

EV Knowledge

e.g. 21% in NL agreed that

charging on the go is still to

difficult, 26% disagreed, 28%

doesn’t know

• Simulation Model of EV

Uptake – ADAM & EV

bit.ly/ADAMEV

What do we do?

System Modelling & Simulation | System Thinking | Architecture Design

Often applied to Electric & Shared Mobility

And more:

Supervise Research

• eLaad

Flexibility / Congestion

• IB Amsterdam

Grid Impact Analysis

• Battery Modelling

• Dutch Incert

• EV(SE) System

Designs

Upcoming (small part in):



http://bit.ly/TOMP-WG

http://bit.ly/adamev

In-Company Smart Charging

1. The Current Situation

2. The Modelling Approach

3. Model Outcomes



System Design (not today)

Why In-Company Smart Charging?

In-Company

Smart Charging

Efficient

Energy Usage

Keep

Employees

Happy

Solar

Panels

Support Mobility

Behaviour

Electric

VehiclesContribute to

SustainabilityThe

Company

Sustain or

Improve Business

Operations

Support Mobility

Behaviour

1. The Current SituationIn-Company Smart Charging – Steven Haveman, University of Twente


Employee Mobility Behaviour



-20%

30%

80%

0 1 2 3 4 5

Parking instances at company location per day

Commuter Representative Office Worker

0%

20%

40%

60%

0-1 1-2 2-3 3-4 4-5 5-6 6-7 7-8 8-9 9-10 10+

Duration of single parking instance (hours)

Commuter Representative Office Worker

Survey into travel behavior

3 types of employees

identified• Office Worker

• Based at one location

• Commuter

• Based at more that one

location

• Representative

• Frequent customer visits

30.000km – yearly average

Employee Expectation Analysis





Exploring Some Scenario’s

VeCS Model

2. The Modelling ApproachIn-Company Smart Charging – Steven Haveman, University of Twente


Vehicle Charging Simulation model

Simulates the parking and charging of

EVs to understand charging behavior

and measure system performance

Implemented in Excel (with a lot of VBA)

VeCS Model - Structure



VeCS – General Operation



VeCS Model - Interface



VeCS Model - Interface



Also included:

-> Saving and comparing

model run results within Excel

-> Viewing yearly results

VeCS Simulation Model - Outcomes



Simulation Run at 1 Location

• 30 employees working at

location and driving electrically

• 10 Office Workers

• 10 Commuters

• 10 Representatives

• 10 chargers available

• Vary charging strategy (CS) &

connection management (CM)

3. Model Outcomes




0,0

10,0

20,0

30,0

40,0

50,0

60,0

70,0

80,0

07

:00

08

:00

09

:00

10

:00

11

:00

12

:00

13

:00

14

:00

15

:00

16

:00

17

:00

18

:00

PO

WER

(KW

)

Energy patterns

Consumption Solar Energy Export Grid Max

3. Model Outcomes

Simulation Run at 1 Location

• 30 employees working at

location and driving electrically

• 10 Office Workers

• 10 Commuters

• 10 Representatives

• 10 chargers available

• Vary charging strategy (CS) &

connection management (CM)




Scenario 1• CS: First Come, First Serve

• CM: No Transfers

3. Model Outcomes





• CM: No Transfers

3. Model Outcomes


• CM: Single Midday Transfer

Scenario 3• CS: Perfect Fit

• CM: Instant Transfers

Dumb Rely on Employees Smart Charging!

VeCS Simulation Model - Capabilties


10-03-2020 – Future Of Charging Symposium3. Model Outcomes

Many more scenarios can be (and were) explored

• 5 predefined charging strategies

• 5 predefined connection management strategies

• # of chargers

• # of employees & average travel

• Grid Connection Capacity

• Installed PV Capacity

• Building Energy Requirements

• Energy Cost

• EV Type (range & efficiency)

Lessons Learned (1)

Main Learnings

Switch to EV fleet

55% to 65% reduction for energy bill & CO2 emitted

Smart Charging in addition

can establish a further 10% reduction

Most important development

A Charging Speed Algorithm taking into account all parked EVs:

Current SoC level | Next departure time | Next trip distance or energy need

Less influential

Solar Forecast (depends on amount of PV capacity) & Parking History Data

3. Model OutcomesIn-Company Smart Charging – Steven Haveman, University of Twente


Lessons Learned (2)

Other considerations

Smart charging can remove the need for electrical infrastructure expansion

Traditional

1 connection per 2 employees

Smart

1 connection per 8 employees

Depends on scenario and travelling behaviour

Support employees with home EVSEs – can help to reduce load at company

locations

3. Model OutcomesIn-Company Smart Charging – Steven Haveman, University of Twente


In-Company Smart Charging

Thank You!

Contact:

Steven Haveman - [email protected]

Short Public Summary of Research is available upon request

Future of Charging Symposium – 10-3-2020 – Dr. Ir. Steven Haveman

mailto:[email protected]

in-company smart charging€¦ · • battery modelling • dutch incert • ev(se) system ......

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