Battery pack lifetime is influenced by interacting factors such as electrochemical aging, heat generation, charge distribution, and operating conditions, making long-term performance prediction a complex engineering challenge. The blog by André Steckel and Thomas Bisgaard explains a simulation-aided framework built on COMSOL Multiphysics®, along with its Battery Design Module, CFD Module, and Heat Transfer Module, for analyzing battery degradation from material-level behavior within individual cells to performance at the battery-pack scale.
The methodology integrates detailed electrochemical representations with reduced computational models and deep neural network (DNN) surrogates to study degradation mechanisms under realistic operating scenarios. Parameters including temperature variation, current distribution, state of charge, and solid electrolyte interphase (SEI) layer growth are examined due to their role in capacity fade and aging. This multi-scale approach aims to support engineers in estimating battery lifetime, assessing thermal behavior, and making informed design decisions before committing to extensive physical testing.
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