Flexible path planning-based reconfiguration strategy for maximum capacity utilization of battery pack

doi:10.1016/j.jechem.2023.07.040

Abstract

Abstract: Maximizing the utilization of lithium-ion battery capacity is an important means to alleviate the range anxiety of electric vehicles. Battery pack inconsistency is the main limiting factor for improving battery pack capacity utilization, and poses major safety hazards to energy storage systems. To solve this problem, a maximum capacity utilization scheme based on a path planning algorithm is proposed. Specifically, the reconfigurable topology proposed is highly flexible and fault-tolerant, enabling battery pack consistency through alternating cell discharge and reducing the increased risk of short circuits due to relay error. The Dijkstra algorithm is used to find the optimal energy path, which can effectively remove faulty cells and find the current path with the best consistency of the battery pack and the lowest relay loss. Finally, the effectiveness of the scheme is verified by hardware-in-the-loop experiments, and the experimental results show that the state-of-charge SOC consistency of the battery pack at the end of discharge is increased by 34.18%, the relay energy loss is reduced by 0.16%, and the fault unit is effectively isolated.

Key words: Lithium-ion battery, Capacity maximum utilization, Reconfigurable topology, Digraph

Xinghua Liu, Guoyi Chang, Jiaqiang Tian, Zhongbao Wei, Xu Zhang, Peng Wang. Flexible path planning-based reconfiguration strategy for maximum capacity utilization of battery pack[J]. Journal of Energy Chemistry, 2023, 86(11): 362-372.

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URL: https://www.jenergychem.com/EN/10.1016/j.jechem.2023.07.040

https://www.jenergychem.com/EN/Y2023/V86/I11/362

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