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Hierarchical Structure-Based Wireless Active Balancing System for Power Batteries

Author

Listed:
  • Jia Xie

    (School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310005, China)

  • Huipin Lin

    (School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310005, China)

  • Jifeng Qu

    (School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310005, China)

  • Luhong Shi

    (Zhejiang Kangli Automation Technology Co., Ltd., Shaoxing 312500, China)

  • Zuhong Chen

    (Zhejiang Kangli Automation Technology Co., Ltd., Shaoxing 312500, China)

  • Sheng Chen

    (Zhejiang Jingsheng Microelectronics Co., Ltd., Shaoxing 312300, China)

  • Yong Zheng

    (Zhejiang Jingsheng Microelectronics Co., Ltd., Shaoxing 312300, China)

Abstract

This paper conducts an in-depth study of a wireless, hierarchical structure-based active balancing system for power batteries, aimed at addressing the rapid advancements in battery technology within the electric vehicle industry. The system is designed to enhance energy density and the reliability of the battery system, developing a balancing system capable of managing cells with significant disparities in characteristics, which is crucial for extending the lifespan of lithium-ion battery packs. The proposed system integrates wireless self-networking technology into the battery management system and adopts a more efficient active balancing approach, replacing traditional passive energy-consuming methods. In its design, inter-group balancing at the upper layer is achieved through a soft-switching LLC resonant converter, while intra-group balancing among individual cells at the lower layer is managed by an active balancing control IC and a bidirectional buck–boost converter. This configuration not only ensures precise control but also significantly enhances the speed and efficiency of balancing, effectively addressing the heat issues caused by energy dissipation. Key technologies involved include lithium-ion batteries, battery management systems, battery balancing systems, LLC resonant converters, and wireless self-networking technology. Tests have shown that this system not only reduces energy consumption but also significantly improves energy transfer efficiency and the overall balance of the battery pack, thereby extending battery life and optimizing vehicle performance, ensuring a safer and more reliable operation of electric vehicle battery systems.

Suggested Citation

  • Jia Xie & Huipin Lin & Jifeng Qu & Luhong Shi & Zuhong Chen & Sheng Chen & Yong Zheng, 2024. "Hierarchical Structure-Based Wireless Active Balancing System for Power Batteries," Energies, MDPI, vol. 17(18), pages 1-32, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:18:p:4602-:d:1477698
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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. Siyi Tao & Bo Jiang & Xuezhe Wei & Haifeng Dai, 2023. "A Systematic and Comparative Study of Distinct Recurrent Neural Networks for Lithium-Ion Battery State-of-Charge Estimation in Electric Vehicles," Energies, MDPI, vol. 16(4), pages 1-17, February.
    3. Chun-Yu Liu & Yi-Hua Liu & Shun-Chung Wang & Zong-Zhen Yang & Song-Pei Ye, 2021. "An Adaptive Synchronous Rectification Driving Strategy for Bidirectional Full-Bridge LLC Resonant Converter," Energies, MDPI, vol. 14(8), pages 1-16, April.
    Full references (including those not matched with items on IDEAS)

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