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Research on Lithium Iron Phosphate Battery Balancing Strategy for High-Power Energy Storage System

Author

Listed:
  • Ren Zhou

    (The National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China)

  • Junyong Lu

    (The National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China)

  • Yiting Wu

    (The National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China)

  • Hehui Zhang

    (The National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China)

  • Kangwei Yan

    (The National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China)

Abstract

For the problem of consistency decline during the long-term use of battery packs for high-voltage and high-power energy storage systems, a dynamic timing adjustment balancing strategy is proposed based on the charge–discharge topology. Compared with the traditional balancing strategy, the dynamic timing adjustment balance strategy is more suitable for the transient high-frequency pulse and high-rate output of a high-power energy storage system. It gives full play to the pulse output adjustment function of the integrated charge–discharge topology. The advantages of this strategy include improving the balance between battery groups, the operating capacity of the system, and improving the continuous working ability of the system. Combined with the work condition of the high-power energy storage system, a balance control model is established, and a cycle charge–discharge test platform of battery packs is built. The effectiveness and advantages of the balance strategy of dynamic timing adjustment are verified by the experiment and simulations. The balancing time is less than 2 min, and the voltage difference is less than 6 mv.

Suggested Citation

  • Ren Zhou & Junyong Lu & Yiting Wu & Hehui Zhang & Kangwei Yan, 2025. "Research on Lithium Iron Phosphate Battery Balancing Strategy for High-Power Energy Storage System," Energies, MDPI, vol. 18(14), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:14:p:3671-:d:1699400
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    References listed on IDEAS

    as
    1. Fan, Tian-E & Liu, Song-Ming & Yang, Hao & Li, Peng-Hua & Qu, Baihua, 2023. "A fast active balancing strategy based on model predictive control for lithium-ion battery packs," Energy, Elsevier, vol. 279(C).
    2. Turksoy, Arzu & Teke, Ahmet, 2023. "A fast and energy-efficient nonnegative least square-based optimal active battery balancing control strategy for electric vehicle applications," Energy, Elsevier, vol. 262(PA).
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