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Novel Dynamic Resistance Equalizer for Parallel-Connected Battery Configurations

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  • Phuong-Ha La

    (School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea)

  • Sung-Jin Choi

    (School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea)

Abstract

As the number of parallel battery connections in an energy storage system is increased to extend the energy capacity and second-life batteries are actively adopted, the battery is more prone to cell inconsistency issues. The difference in the internal impedance and the mismatched state-of-charge accelerates the self-balancing effect between the parallel branches to reduce cell utilization and eventually results in harmful effects, both to the lifetime and to the safety of the batteries. However, conventional methods only partially mitigate the parallel inconsistency issue. This paper proposes a dynamic resistance equalizer for parallel-connected battery configurations to improve equalization performance. The optimal design procedure is also presented to minimize the power loss and equalization time. The overall performance is experimentally verified by a sequence of tests for a Li-ion battery in a 2S-4P configuration. The experimental results show that the proposed method dissipates less external power loss than the fixed resistor equalizer and less internal loss than the conventional sequencing method. When both total loss and balancing performance are considered together, as the number of series connections increases, the merits of the proposed method stand out. This is verified by additional hardware-in-the-loop tests, presenting a fascinating feature for most practical battery applications.

Suggested Citation

  • Phuong-Ha La & Sung-Jin Choi, 2020. "Novel Dynamic Resistance Equalizer for Parallel-Connected Battery Configurations," Energies, MDPI, vol. 13(13), pages 1-17, June.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3315-:d:377649
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    References listed on IDEAS

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    1. Sandra Castano-Solis & Daniel Serrano-Jimenez & Lucia Gauchia & Javier Sanz, 2017. "The Influence of BMSs on the Characterization and Modeling of Series and Parallel Li-Ion Packs," Energies, MDPI, vol. 10(3), pages 1-13, February.
    2. Chuanxue Song & Yulong Shao & Shixin Song & Cheng Chang & Fang Zhou & Silun Peng & Feng Xiao, 2017. "Energy Management of Parallel-Connected Cells in Electric Vehicles Based on Fuzzy Logic Control," Energies, MDPI, vol. 10(3), pages 1-13, March.
    3. Martinez-Laserna, E. & Gandiaga, I. & Sarasketa-Zabala, E. & Badeda, J. & Stroe, D.-I. & Swierczynski, M. & Goikoetxea, A., 2018. "Battery second life: Hype, hope or reality? A critical review of the state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 701-718.
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    Cited by:

    1. Bernhard Faessler, 2021. "Stationary, Second Use Battery Energy Storage Systems and Their Applications: A Research Review," Energies, MDPI, vol. 14(8), pages 1-19, April.
    2. Gu, Xubo & Bai, Hanyu & Cui, Xiaofan & Zhu, Juner & Zhuang, Weichao & Li, Zhaojian & Hu, Xiaosong & Song, Ziyou, 2024. "Challenges and opportunities for second-life batteries: Key technologies and economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    3. Hua Song & Huaizhi Chen & Yanbo Wang & Xiang-E Sun, 2024. "An Overview About Second-Life Battery Utilization for Energy Storage: Key Challenges and Solutions," Energies, MDPI, vol. 17(23), pages 1-26, December.

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