Research on Optimal Charging of Power Lithium-Ion Batteries in Wide Temperature Range Based on Variable Weighting Factors

With the popularity of electric vehicles (EV), charging technology has become one bottleneck problems that limit large-scale deployment EVs. In this paper, a method using multi-stage constant current based on SOC (MCCS) is proposed, and then time, capacity temperature increase battery are optimized by multi-objective particle swarm optimization (MOPSO) algorithm. The influence number stages, cut-off voltage, combination different target weight factors ambient strategy further compared discussed. Finally, according to users’ requirements suitable for specific situation obtained adjusting factors, results analyzed justified basis experiments. show proposed can intelligently make more reasonable adjustments meeting demands users.