摘要
A particle swarm optimization algorithm to search for an optimal five-stage constant-current charge pattern is proposed.The goal is to maximize the objective function for the proposed charge pattern based on the charging capacity,time,and energy efficiency,which all share the same weight.Firstly,an equivalent circuit model is built and battery parameters are identified.Then the optimal five-stage constant-current charge pattern is searched using a particle swarm optimization algorithm.At last,comparative experiments using the constant current-constant voltage(CC-CV)method are performed.Although the charging SOC of the proposed charging pattern was 2.5%lower than that of the CC-CV strategy,the charging time and charging energy efficiency are improved by 15.6%and 0.47%respectively.In particular,the maximum temperature increase of the battery is approximately 0.8℃lower than that of the CC-CV method,which indicates that the proposed charging pattern is more secure.
基金
Supported by the Key Research and Development Program of Hunan Province of China(2018GK2031)
the National Natural Science Foundation of China(51822702),and the Excellent Innovation Youth Program of Changsha of China(KQ1802029)。
