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A Layered Bidirectional Active Equalization Method for Retired Power Lithium-Ion Batteries for Energy Storage Applications

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  • Yang Yang

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China
    Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China)

  • Wenchao Zhu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China
    Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China)

  • Changjun Xie

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China
    Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China)

  • Ying Shi

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China)

  • Furong Liu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China)

  • Weibo Li

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China)

  • Zebo Tang

    (DongFeng Motor Corporation Technical Center, Wuhan 430058, China)

Abstract

The power from lithium-ion batteries can be retired from electric vehicles (EVs) and can be used for energy storage applications when the residual capacity is up to 70% of their initial capacity. The retired batteries have characteristics of serious inconsistency. In order to solve this problem, a layered bidirectional active equalization topology is proposed in this paper. Specifically, a bridge-type equalization topology based on an inductor is adopted in the bottom layer, and the distributed equalization topological structure based on the bidirectional BUCK-BOOST circuit is adopted in the top layer. State of charge (SOC) is used as the equalization target variable, and the bottom layer equalization algorithm based on a “partition” idea and route optimization is proposed. The static equalization experiments and charge equalization experiments are performed by the 12 retired batteries selected from an electric sanitation vehicle. The results show that the proposed equalization method can reduce the SOC difference between retired batteries and can effectively improve the inconsistency of the retired battery pack with a faster equalization speed.

Suggested Citation

  • Yang Yang & Wenchao Zhu & Changjun Xie & Ying Shi & Furong Liu & Weibo Li & Zebo Tang, 2020. "A Layered Bidirectional Active Equalization Method for Retired Power Lithium-Ion Batteries for Energy Storage Applications," Energies, MDPI, vol. 13(4), pages 1-15, February.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:832-:d:320648
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    References listed on IDEAS

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    1. Li, Xiaolong & Xie, Changjun & Quan, Shuhai & Huang, Liang & Fang, Wei, 2018. "Energy management strategy of thermoelectric generation for localized air conditioners in commercial vehicles based on 48 V electrical system," Applied Energy, Elsevier, vol. 231(C), pages 887-900.
    2. Miaomiao Zeng & Peng Zhang & Yang Yang & Changjun Xie & Ying Shi, 2019. "SOC and SOH Joint Estimation of the Power Batteries Based on Fuzzy Unscented Kalman Filtering Algorithm," Energies, MDPI, vol. 12(16), pages 1-15, August.
    3. Xintian Liu & Zhihao Wan & Yao He & Xinxin Zheng & Guojian Zeng & Jiangfeng Zhang, 2018. "A Unified Control Strategy for Inductor-Based Active Battery Equalisation Schemes," Energies, MDPI, vol. 11(2), pages 1-16, February.
    4. Diao, Weiping & Xue, Nan & Bhattacharjee, Vikram & Jiang, Jiuchun & Karabasoglu, Orkun & Pecht, Michael, 2018. "Active battery cell equalization based on residual available energy maximization," Applied Energy, Elsevier, vol. 210(C), pages 690-698.
    5. Mohamed Daowd & Mailier Antoine & Noshin Omar & Peter Van den Bossche & Joeri Van Mierlo, 2013. "Single Switched Capacitor Battery Balancing System Enhancements," Energies, MDPI, vol. 6(4), pages 1-26, April.
    6. Zhang, Youlang & Li, Yan & Tao, Yibin & Ye, Jilei & Pan, Aiqiang & Li, Xinzhou & Liao, Qiangqiang & Wang, Zhiqin, 2020. "Performance assessment of retired EV battery modules for echelon use," Energy, Elsevier, vol. 193(C).
    7. Xiudong Cui & Weixiang Shen & Yunlei Zhang & Cungang Hu, 2017. "A Fast Multi-Switched Inductor Balancing System Based on a Fuzzy Logic Controller for Lithium-Ion Battery Packs in Electric Vehicles," Energies, MDPI, vol. 10(7), pages 1-16, July.
    8. Wu, Zhou & Ling, Rui & Tang, Ruoli, 2017. "Dynamic battery equalization with energy and time efficiency for electric vehicles," Energy, Elsevier, vol. 141(C), pages 937-948.
    9. Wang, Yujie & Zhang, Chenbin & Chen, Zonghai & Xie, Jing & Zhang, Xu, 2015. "A novel active equalization method for lithium-ion batteries in electric vehicles," Applied Energy, Elsevier, vol. 145(C), pages 36-42.
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    Cited by:

    1. Zongwei Liu & Xinglong Liu & Han Hao & Fuquan Zhao & Amer Ahmad Amer & Hassan Babiker, 2020. "Research on the Critical Issues for Power Battery Reusing of New Energy Vehicles in China," Energies, MDPI, vol. 13(8), pages 1-19, April.
    2. Ma, Chen & Chang, Long & Cui, Naxin & Duan, Bin & Zhang, Yulong & Yu, Zhihao, 2022. "Statistical relationships between numerous retired lithium-ion cells and packs with random sampling for echelon utilization," Energy, Elsevier, vol. 257(C).

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