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A High-Efficiency Bidirectional Active Balance for Electric Vehicle Battery Packs Based on Model Predictive Control

Author

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  • Shixin Song

    (School of Mechanical Science and Engineering, Jilin University, Changchun 130022, China)

  • Feng Xiao

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Silun Peng

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Chuanxue Song

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Yulong Shao

    (Zhengzhou Yutong Bus Co., Ltd., Zhengzhou 450016, China)

Abstract

This study designs an active equilibrium control strategy based on model predictive control (MPC) for series battery packs. To shorten equalisation time and reduce unnecessary energy consumption, bidirectional active equalisation is modelled and analysed, and the model predictive control algorithm is then applied to the established state space equation. The optimisation problem that minimises the equilibrium time is transformed to a linear programming form in each cycle. By solving the linear programming problem online, a group of control optimal solutions is found and the series equalisation problem is decoupled. The equalisation time is shortened by dynamically adjusting the equalisation current. Simulation results show that the MPC algorithm can avoid unnecessary energy transfer and shorten equalisation time. The bench experimental result shows that the equilibrium time is reduced by 31%, verifying the rationality of the MPC strategy.

Suggested Citation

  • Shixin Song & Feng Xiao & Silun Peng & Chuanxue Song & Yulong Shao, 2018. "A High-Efficiency Bidirectional Active Balance for Electric Vehicle Battery Packs Based on Model Predictive Control," Energies, MDPI, vol. 11(11), pages 1-24, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3220-:d:184188
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    References listed on IDEAS

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    1. 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.
    2. Xiaolin Wang & Ka Wai Eric Cheng & Yat Chi Fong, 2018. "Non-Equal Voltage Cell Balancing for Battery and Super-Capacitor Source Package Management System Using Tapped Inductor Techniques," Energies, MDPI, vol. 11(5), pages 1-12, April.
    3. 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.
    4. Hoque, M.M. & Hannan, M.A. & Mohamed, A. & Ayob, A., 2017. "Battery charge equalization controller in electric vehicle applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1363-1385.
    5. Wang, Shunli & Shang, Liping & Li, Zhanfeng & Deng, Hu & Li, Jianchao, 2016. "Online dynamic equalization adjustment of high-power lithium-ion battery packs based on the state of balance estimation," Applied Energy, Elsevier, vol. 166(C), pages 44-58.
    6. Noshin Omar & Mohamed Daowd & Omar Hegazy & Grietus Mulder & Jean-Marc Timmermans & Thierry Coosemans & Peter Van den Bossche & Joeri Van Mierlo, 2012. "Standardization Work for BEV and HEV Applications: Critical Appraisal of Recent Traction Battery Documents," Energies, MDPI, vol. 5(1), pages 1-19, January.
    7. 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.
    8. 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.
    9. Yat Chi Fong & Ka Wai Eric Cheng & S. Raghu Raman & Xiaolin Wang, 2018. "Multi-Port Zero-Current Switching Switched-Capacitor Converters for Battery Management Applications," Energies, MDPI, vol. 11(8), pages 1-17, July.
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    Cited by:

    1. Shing-Lih Wu & Hung-Cheng Chen & Chih-Hsuan Chien, 2019. "A Novel Active Cell Balancing Circuit and Charging Strategy in Lithium Battery Pack," Energies, MDPI, vol. 12(23), pages 1-17, November.
    2. 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.
    3. Anastasios Dounis, 2019. "Special Issue “Intelligent Control in Energy Systems”," Energies, MDPI, vol. 12(15), pages 1-9, August.

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