Optimizing temperature prediction in automotive lithium-ion battery discharge cycles using machine learning and SHAP analysis
Effective thermal control is essential for lithium-ion batteries used in electric vehicles and energy storage systems, as uncontrolled heat generation accelerates degradation, reduces performance, and increases safety risk. Conventional temperature-prediction studies often report high accuracy using random data spl...