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[00688] Recovering Battery Ageing Dynamics with Invertible Neuronal Networks

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @G709
  • Type : Contributed Talk
  • Abstract : Modern Lithium-Ion-Batteries (LIBs) suffer from degradation. This leads to a dependency of the voltage-capacity-curve on the charge-discharge-cycle. However, there are different processes inducing this degradation, each with a different influence on the aforementioned curve. Given such a curve, we recover the ageing dynamic of each effect and identify how much it contributes to the overall degradation using Invertible Neuronal Networks.
  • Classification : 35Q79, 62F15, 35B27, 65M60
  • Format : Talk at Waseda University
  • Author(s) :
    • Alireza Selahi (Weierstraß Institute for Applied Analysis and Stochastics)
    • Manuel Landstorfer (Weierstraß Institute for Applied Analysis and Stochastics)