Batteries degrade for many reasons, from stress/strain caused by (dis)charge cycling to chemical side reactions during cycling and storage. To improve next generation battery designs, physics models of electrochemo-thermo-mechanical phenomena promote understanding and quantify design tradeoffs.
Unfortunately, the physics of some degradation mechanisms are not yet fully understood and/or their multi-scale processes are too complex to precisely model. To fill this gap, reduced-order lifetime models extrapolate accelerated aging tests to real-world scenarios. Unfortunately, accelerated aging test campaigns presently take over 9 months to predict lifetimes on the order of 15 years. To reduce this bottleneck, specialized aging experiments attempt to excite and isolate degradation mechanisms faster.
