Title: Research on the optimal charging method of parallel power batteries for smart electric vehicles

Authors: Yalin Li; Zhen Li

Addresses: Department of Automotive Engineering, Sichuan Vocational and Technical College of Communications, Chengdu, 611130, China ' Department of Automotive Engineering, Sichuan Vocational and Technical College of Communications, Chengdu, 611130, China

Abstract: To save charging cost on the premise of ensuring stable and efficient charging of electric vehicles, an optimal charging method for parallel power batteries of intelligent electric vehicles was proposed. Through mathematical model analysis, the RC network branch is added to construct a second-order RC equivalent circuit model. Battery parameters based on CRUISE simulation platform are optimised. By optimising the control of battery current, current sharing and voltage stability are achieved. Finally, the local voltage equalising charging principle of the inverter is used to redesign the equalising charging of the electric vehicle battery. The experimental results show that the relative cost and charging stability of the proposed charging method are 0.58 and 0.62 respectively, which are better than the other two charging methods. The results show that the method can meet the requirements of intelligent electric vehicles for charging stability and efficiency, and has high application value.

Keywords: electric vehicle; battery charging; equalisation charging; equivalent circuit model; charging power.

DOI: 10.1504/IJCISTUDIES.2023.137771

International Journal of Computational Intelligence Studies, 2023 Vol.12 No.3/4, pp.189 - 205

Received: 05 Jul 2022
Accepted: 06 Sep 2022
Published online: 05 Apr 2024 *

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