Thursday May 19, 2022 at 2:00 PM CET, 8:00 AM EST

By Nicolas Damay (Université de technologie de Compiègne, France)

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Lithium-ion batteries (LIB) are hard to model because their behavior is highly non-linear regarding current (or voltage), temperature, state of charge and state of health. Consequently, modeling them accurately with equivalent circuit models generally results in the use of non-linear parameters. In this presentation, I will present a physical approach to model the non-linearities regarding current and temperature of two important contributors to a battery voltage, namely the solid electrolyte interphase (SEI) and the charge transfers. I will also show that the proposed non-linearities model allows the tracking of these phenomena as LIB age, making it an interesting diagnosis tool. Finally, I will discuss the use of this approach by a battery management system (BMS) to recalibrate models during the whole lifespan of LIB.

Presenters’ bio:

Nicolas Damay is a teacher and researcher at the Université de Technologie de Compiègne, France. He is working on the improvement of equivalent circuit model (ECM) for insertion batteries (lithium-ion, sodium-ion…). These ECM are based on no previous knowledge of the battery and can help to increase the performance of insertion batteries: thermal management, super-fast charging, lifespan increase, optimal sizing, diagnosis…