Model-based method for estimating LiCoO2 battery state of health and behaviors

Abstract

Simplified mechanistic models can accurately simulate battery behaviors and are more suitable for studies on mechanistic parameters. Battery remaining useful life can be predicted by analyzing the variations of parameters at different aging stages. The main work of this paper is listed below: (i) Parameters of mechanistic model at different stages are analyzed according to their variation laws, (ii) Based on the variations of these selected parameters, battery discharge behaviors are predicted. The simulated results show good agreement with measurements.