Research on Equalization Strategy of Lithium-Ion Battery Based on Temperature and SOC Adaptive Fuzzy Control

Xingyang Su, Guoping Zou (), Siguang An, Hongliang Zou and Xueyan Wang
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Xingyang Su: College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
Guoping Zou: College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
Siguang An: College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
Hongliang Zou: State Grid Taizhou Power Supply Company, No. 809, Zhongxing Road, Jiaojiang District, Taizhou 318000, China
Xueyan Wang: State Grid Taizhou Power Supply Company, No. 809, Zhongxing Road, Jiaojiang District, Taizhou 318000, China

Energies, 2025, vol. 18, issue 3, 1-20

Abstract: To enhance equalization efficiency and address the issue of traditional equalization methods overlooking temperature factors, this paper proposes a multilayer equalization circuit for both intra-group and inter-group balancing. The traditional Buck-Boost equalization topology between groups is improved by incorporating a two-way interleaved inductor structure, which helps reduce equalization idle time. An adaptive fuzzy control equalization strategy for multiple objectives is applied to the topology. The state of charge (SOC) and temperature of the battery are used as key variables for equalization, with the equalization current dynamically adjusted based on changes in the SOC and temperature. This approach improves the balance between equalization speed and temperature control, reducing equalization time while limiting battery temperature rise. A simulation model is developed using MATLAB/Simulink. The simulation results demonstrate that, compared to the traditional Buck-Boost equalization topology, the proposed topology reduces equalization time by 15.1%. Additionally, under three different operating conditions, the equalization cotnrol strategy designed in this paper improves time efficiency by over 14% compared to traditional methods, while also reducing both the maximum temperature and temperature difference.

Keywords: multi-objective adaptive fuzzy control; battery equalization; SOC and temperature; multi-layer equalization topology (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: 2025
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