Thermal-Coupled Single Particle Modeling and Multi-Objective Stepwise Parameter Identification of Lithium-Ion Batteries Over Different Temperatures

Abstract

The establishment of electrochemical-thermal coupling model for a lithium-ion battery (LIB) is an important issue in developing an appropriate thermal management system of LIB packs. In this paper, a novel thermal-coupled single particle model with few parameters is first developed to promote battery parameter identification at various temperatures. Then, after collecting the experimental profiles of battery voltage, current, and temperature, a multi-objective stepwise identification scheme based on genetic algorithm is proposed to identify the classified parameters of LIB at different temperatures. Finally, the proposed battery model and the stepwise parameter identification are validated in terms of the simulations and experiments. The results demonstrate that this proposed battery model and parameter identification method can not only describe inherent electrochemical and thermal characteristics of the battery, but also identify the battery electrochemical states with high precision, which provides a strong foundation for the development and implementation of battery thermal management system.