(Invited) Simulation of Battery Chemo-Mechanical Physics Incorporating Degradation

Abstract

Computer-aided engineering models have accelerated the design cycle for large-format battery cells, packs, and systems. Building on that success, researchers are developing physics-based models to accelerate advancements in battery manufacturing, degradation/lifetime prediction, and materials research. This talk highlights achievements and challenges. The first simulates the reaction sequences of solid/electrolyte interfacial growth, coupling atomistic- to continuum-scale models to identify pathways to extend the calendar life of the silicon anode. The second describes electrochemical-mechanical degradation of 3D polycrystalline cathode particles to quantify degradation processes and identify optimal material architectures and fast-charge protocols. Third, artificial intelligence algorithms are coupled with electrochemical and degradation physics to identify electrochemical performance parameters, diagnose degradation, and predict lifetime.