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A Fast Equalizer with Adaptive Balancing Current Control

Author

Listed:
  • Shun-Chung Wang

    (Department of Electrical Engineering, Lunghwa University of Science and Technology (LHU), No. 300, Sec.1, Wanshou Road, Guishan District, Taoyuan City 33306, Taiwan)

  • Chun-Yu Liu

    (Department of Electrical Engineering, National Taiwan University of Science and Technology (NTUST), No. 43, Sec. 4, Keelung Road, Taipei 106, Taiwan)

  • Yi-Hua Liu

    (Department of Electrical Engineering, National Taiwan University of Science and Technology (NTUST), No. 43, Sec. 4, Keelung Road, Taipei 106, Taiwan)

Abstract

In this paper, a fast equalizer for series-connected battery packs with adaptive balancing current control is proposed. As the duty cycle of the power switch in conventional equalizers is kept constant during the equalization process, smaller voltage difference between cells will decrease balancing current and consequently result in extended balancing time, especially in the later phase of equalization. To deal with this problem and take the battery nonlinearity and circuit parameter non-ideality into consideration, an adaptive balancing current control based on a fuzzy logic inference is proposed. The presented approach can adjust the duty ratio adaptively, according to voltages of individual cells and pack, to keep the balancing current nearly constant: Therefore, the balancing time can be shortened and the balancing efficiency can be improved. Finally, experimental results of three compared methods will be given and discussed to validate the feasibility, effectiveness, and performance improvement of the studied method.

Suggested Citation

  • Shun-Chung Wang & Chun-Yu Liu & Yi-Hua Liu, 2018. "A Fast Equalizer with Adaptive Balancing Current Control," Energies, MDPI, vol. 11(5), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1052-:d:143107
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Turksoy, Arzu & Teke, Ahmet & Alkaya, Alkan, 2020. "A comprehensive overview of the dc-dc converter-based battery charge balancing methods in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    3. Jianwen Cao & Bizhong Xia & Jie Zhou, 2021. "An Active Equalization Method for Lithium-ion Batteries Based on Flyback Transformer and Variable Step Size Generalized Predictive Control," Energies, MDPI, vol. 14(1), pages 1-25, January.

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