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A Novel Active Online State of Charge Based Balancing Approach for Lithium-Ion Battery Packs during Fast Charging Process in Electric Vehicles

Author

Listed:
  • Xiudong Cui

    (Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia)

  • Weixiang Shen

    (Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia)

  • Yunlei Zhang

    (School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

  • Cungang Hu

    (School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

Abstract

: Non-uniformity of Lithium-ion cells in a battery pack is inevitable and has become the bottleneck to the pack capacity, especially in the fast charging process. Therefore, a balancing approach is essentially required. This paper proposes an active online cell balancing approach in a fast charging process using the state of charge (SOC) as balancing criterion. The goal of this approach is to complete pack balancing within the limited charging time. An adaptive extended Kalman filter (AEKF) is applied to estimate the pack cell SOC during the charging process to obtain accurate results under modeling errors and measurement noises. To implement the proposed AEKF, only one additional current sensor is required to obtain the current of each cell required for the SOC estimation. An experimental platform is established to verify the effectiveness of the proposed approach. The results show that the proposed balancing approach with the SOC as a balancing criterion can overcome the challenges of non-uniformity and flat voltage plateau and charge more capacity into a LiFePO 4 battery pack than those with the terminal voltage as a balancing criterion in the fast charging process.

Suggested Citation

  • Xiudong Cui & Weixiang Shen & Yunlei Zhang & Cungang Hu, 2017. "A Novel Active Online State of Charge Based Balancing Approach for Lithium-Ion Battery Packs during Fast Charging Process in Electric Vehicles," Energies, MDPI, vol. 10(11), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1766-:d:117376
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    References listed on IDEAS

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    1. Wei, Jingwen & Dong, Guangzhong & Chen, Zonghai & Kang, Yu, 2017. "System state estimation and optimal energy control framework for multicell lithium-ion battery system," Applied Energy, Elsevier, vol. 187(C), pages 37-49.
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    Cited by:

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    2. Nicolae Tudoroiu & Mohammed Zaheeruddin & Roxana-Elena Tudoroiu, 2020. "Real Time Design and Implementation of State of Charge Estimators for a Rechargeable Lithium-Ion Cobalt Battery with Applicability in HEVs/EVs—A Comparative Study," Energies, MDPI, vol. 13(11), pages 1-45, May.
    3. Guangwei Wan & Qiang Zhang & Menghan Li & Siyuan Li & Zehao Fu & Junjie Liu & Gang Li, 2023. "Improved Battery Balancing Control Strategy for Reconfigurable Converter Systems," Energies, MDPI, vol. 16(15), pages 1-21, July.
    4. Yao-Ching Hsieh & You-Chun Huang & Po-Chun Chuang, 2020. "A Charge-Equalization Circuit with an Intermediate Resonant Energy Tank," Energies, MDPI, vol. 13(24), pages 1-14, December.

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