Polarization Based Charging Time and Temperature Rise Optimization for Lithium-ion Batteries

Abstract

The Lithium-ion battery fast charging issues have become the bottleneck of its application as rapid development of electric vehicles. This paper developed a polarization based charging time and temperature rise optimization strategy for lithium-ion batteries. The enhanced thermal behavior model is introduced to improve the accuracy at high charging current, in which the relationship between the polarization voltage and charge current is addressed. Genetic algorithm (GA) is employed to search for the optimal charging current trajectories. The effects of charging time and temperature rise weight coefficients on battery charging performance is discussed. The charging time of the optimized charging pattern is reduced by 50%, and the temperature rise is almost identical compared to 1/3C constant current-constant voltage (CC-CV) charging pattern, balancing the battery life and charging speed.