Research on the Optimal Charging Strategy for Li-Ion Batteries Based on Multi-Objective Optimization
AbstractCharging performance affects the commercial application of electric vehicles (EVs) significantly. This paper presents an optimal charging strategy for Li-ion batteries based on the voltage-based multistage constant current (VMCC) charging strategy. In order to satisfy the different charging demands of the EV users for charging time, charged capacity and energy loss, the multi-objective particle swarm optimization (MOPSO) algorithm is employed and the influences of charging stage number, charging cut-off voltage and weight factors of different charging goals are analyzed. Comparison experiments of the proposed charging strategy and the traditional normal and fast charging strategies are carried out. The experimental results demonstrate that the traditional normal and fast charging strategies can only satisfy a small range of EV users’ charging demand well while the proposed charging strategy can satisfy the whole range of the charging demand well. The relative increase in charging performance of the proposed charging strategy can reach more than 80% when compared to the normal and fast charging dependently. View Full-Text
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Min, H.; Sun, W.; Li, X.; Guo, D.; Yu, Y.; Zhu, T.; Zhao, Z. Research on the Optimal Charging Strategy for Li-Ion Batteries Based on Multi-Objective Optimization. Energies 2017, 10, 709.
Min H, Sun W, Li X, Guo D, Yu Y, Zhu T, Zhao Z. Research on the Optimal Charging Strategy for Li-Ion Batteries Based on Multi-Objective Optimization. Energies. 2017; 10(5):709.Chicago/Turabian Style
Min, Haitao; Sun, Weiyi; Li, Xinyong; Guo, Dongni; Yu, Yuanbin; Zhu, Tao; Zhao, Zhongmin. 2017. "Research on the Optimal Charging Strategy for Li-Ion Batteries Based on Multi-Objective Optimization." Energies 10, no. 5: 709.
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