Reliable Forecasts of Battery Aging in Mobile and Stationary Applications through System Simulation

Reliable Forecasts of Battery Agingin Mobile and Stationary Applicationsthrough System Simulation

Thomas Hofmann, Technical Marketing EngineerITI GmbH

Thomas Bäuml, ScientistAustrian Institute of Technology (AIT)

© ITI GmbH simulationx.com

Content

• Why are reliable forecasts of battery aging a real asset?

• Why do I need professional methods to predict battery aging?

• How to get information about aging behavior?

• What are the benefits of predicting battery aging through simulation?

• Where to find the necessary parameters for battery simulations?

• Who can help me?

2 Forecasts of Battery Aging through System Simulation

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Why are reliable forecasts of battery aging a real asset?

3

Basis for investment decisions:

• Does the battery have the desired lifetime?• What is the best solution to reduce costs per kWh?

Ensure product performance:

• How does the battery behave under different conditions?• How does the performance change over time?

Forecasts of Battery Aging through System Simulation

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Why do I need professional methods to predict battery aging?

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Battery Aging is influenced by

Charging Rate TemperatureDepth of

Discharge (DoD)Calendric Aging

Different for each application!

Strongly affected by:

• Boundary conditions• Battery management• System layout

Forecasts of Battery Aging through System Simulation

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How to get information about aging behavior?

Measurements on Object

Measurements on a Test Rig

Simulation

Reproducible results!

Medium effort: time/costs!

Which input data?(standardized test cycles)

Reproducible results!

Minimal effort: time/costs!

Large number of variants!

How to get the parameters?

Results reproducible?

Great effort: time/costs!

Prototype needed!

Accessibility?

Forecasts of Battery Aging through System Simulation

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Parameters for simulationsthrough

measurements on a test rig

Service by

Simulation of battery aging –Where to find the parameters?

6

yearsjust

2 – 4 months!

Forecasts of Battery Aging through System Simulation

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Parameters through measurements at AIT‘s laboratories

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Calendric aging (storage)

Cyclic aging(load cycles)

Different temperatures

Forecasts of Battery Aging through System Simulation

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• Get reliable results in a short time! (about 4 month in total)

• Reduce costs!

• Compare a vast number of variants!

• Easy optimization of concepts and parameters, e. g.:• System layout

• Battery Management System (BMS) / controls

• Heat transfer (cooling/climatization)

Simulation of battery aging – Benefits

8 Forecasts of Battery Aging through System Simulation

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Simulation of battery aging - Examples

SimulationX – Convenientsolution for the simulation ofbatteries in:

• Vehicles

• Buildings

• Battery storage power stations

• …

Forecasts of Battery Aging through System Simulation9

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Example: Battery cooling

10 Forecasts of Battery Aging through System Simulation

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Example: Battery aging in a vehicle-to-grid scenario

11 Forecasts of Battery Aging through System Simulation

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Simulation of battery aging – Costs

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Example:

Costs for aging analysesof 10 cells over 2 years

Test rig (with climatization) Simulation (including licence, model, and battery parameters)

Forecasts of Battery Aging through System Simulation

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A one-stop-shop solution

• Proven platform for system simulation

• Dedicated model library for battery simulation

• Specification of battery parameters in the

laboratory

• Engineering services and training

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www.simulationx.com

www.ait.ac.at

Forecasts of Battery Aging through System Simulation

ITI GmbHSchweriner Straße 101067 Dresden

T + 49 (0) 351.260 50 - 0info@itisim.comsimulationx.com

Supporting your vision

AIT GmbHGiefinggasse 21210 Vienna | Austria

T +43(0) 50550 - 6578ait.ac.at

Thomas Hofmann (ITI GmbH)Thomas.Hofmann@itisim.com

Thomas Bäuml (AIT GmbH)Thomas.Baeuml@ait.ac.at