METHOD AND SYSTEM FOR BATTERY CAPACITY PREDICTION

Challenges such as diverse aging mechanisms, significant device variability, and varied operating conditions of batteries, make it difficult to develop a generalized prediction model that can accurately capture the complex nature of battery degradation. The existing prediction methods often struggle to guarantee prediction accuracy due to the complex internal electrochemical reactions and external use conditions. In order to address these challenges, the method and system disclosed herein propose a mechanism for generating a Physics Based Model (PBM) for a battery being monitored, by creating a battery profile and further by selecting appropriate models that match the battery. The PBM, once generated, is used to generate prediction of a set of state variables representing degradation of the battery.