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

Ran Li, Xue Wei (), Hui Sun, Hao Sun and Xiaoyu Zhang
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Ran Li: Automotive Electronic Drive Control and System Integration Engineering Research Center, Ministry of Education, Harbin 150080, China
Xue Wei: Automotive Electronic Drive Control and System Integration Engineering Research Center, Ministry of Education, Harbin 150080, China
Hui Sun: Automotive Electronic Drive Control and System Integration Engineering Research Center, Ministry of Education, 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

Energies, 2022, vol. 15, issue 19, 1-19

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.

Keywords: lithium-ion battery; charging strategy; electro-thermal coupling model; particle swarm algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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