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Fast Charging Optimization for Lithium-Ion Batteries Based on Improved Electro-Thermal Coupling Model

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  • Ran Li

    (Automotive Electronic Drive Control and System Integration Engineering Research Center, Ministry of Education, Harbin 150080, China
    School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China)

  • Xue Wei

    (Automotive Electronic Drive Control and System Integration Engineering Research Center, Ministry of Education, Harbin 150080, China
    School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China)

  • Hui Sun

    (Automotive Electronic Drive Control and System Integration Engineering Research Center, Ministry of Education, Harbin 150080, China
    School of Automation, Harbin University of Science and Technology, Harbin 150080, China)

  • Hao Sun

    (College of Artificial Intelligence, Nankai University, Tianjin 300110, China)

  • Xiaoyu Zhang

    (College of Artificial Intelligence, Nankai University, Tianjin 300110, China)

Abstract

New energy automobiles possess broad application prospects, and the charging technology of vehicle power batteries is one of the key technologies in the development of new energy automobiles. Traditional lithium battery charging mostly adopts the constant current-constant voltage method, but continuous and frequent charging application conditions will cause temperature rise and accelerated capacity decay, which easily bring about safety problems. Aiming at the above-mentioned problems related to the charging process of lithium-ion batteries, this paper proposes an optimization strategy and charging method for lithium-ion batteries based on an improved electric-thermal coupling model. Through the HPPC experiment, the parameter identification of the second-order RC equivalent circuit model was completed, and the electric-thermal coupling model of the lithium battery was established. Taking into account the two factors of charging time and charging temperature rise, the multi-stage charging strategy of the lithium-ion battery is optimized by the particle swarm optimization algorithm. The experimental results show that the multi-stage constant current charging method proposed in this paper not only reduces the maximum temperature during the charging process by an average of 0.83% compared with the maximum temperature of the battery samples charged with the traditional constant current-constant voltage (CC-CV) charging method but also reduces the charging time by an average of 13.87%. Therefore, the proposed optimized charging strategy limits the charging temperature rise to a certain extent on the basis of ensuring fast charging and provides a certain theoretical basis for the thermal management of the battery system and the design and safe charging method of the battery charging system.

Suggested Citation

  • Ran Li & Xue Wei & Hui Sun & Hao Sun & Xiaoyu Zhang, 2022. "Fast Charging Optimization for Lithium-Ion Batteries Based on Improved Electro-Thermal Coupling Model," Energies, MDPI, vol. 15(19), pages 1-19, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7038-:d:924697
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    References listed on IDEAS

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    1. Haitao Min & Weiyi Sun & Xinyong Li & Dongni Guo & Yuanbin Yu & Tao Zhu & Zhongmin Zhao, 2017. "Research on the Optimal Charging Strategy for Li-Ion Batteries Based on Multi-Objective Optimization," Energies, MDPI, vol. 10(5), pages 1-15, May.
    2. Xiaogang Wu & Wenwen Shi & Jiuyu Du, 2017. "Multi-Objective Optimal Charging Method for Lithium-Ion Batteries," Energies, MDPI, vol. 10(9), pages 1-18, August.
    3. Zhang, Caiping & Jiang, Jiuchun & Gao, Yang & Zhang, Weige & Liu, Qiujiang & Hu, Xiaosong, 2017. "Charging optimization in lithium-ion batteries based on temperature rise and charge time," Applied Energy, Elsevier, vol. 194(C), pages 569-577.
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