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Keywords

users’ optimal willingness; internal resistance function; charging time; charge loss

Abstract

The rapid charging method of lithium-ion batteries for electric vehicles should also consider the influence of users’ behavior habits when considering the traditional goals such as balancing the safety, life, and charging time of the batteries. In this paper, a multi-stage constant-current charging method considering users’ behavior habits is proposed. First, Monte Carlo method is used to simulate users’ charging behaviors, and thus the state of charge (SOC) range of users’ optimal willingness to achieve is determined. Then, the dynamic equations of charging time and energy loss are established. Finally, the charging mode to obtain optimal charging current is determined by the particle swarm optimization algorithm. The results show that the proposed optimal charging strategy can reduce the maximum temperature rise of the batteries to a certain extent while improving the charging speed. It also significantly reduces charge loss, compared with the traditional constant-current and constant-voltage (CC-CV) charging method. The service life of lithium-ion batteries is indirectly improved by reducing energy loss during the charging process.

DOI

10.19781/j.issn.1673-9140.2025.02.025

First Page

235

Last Page

242

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