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Multi-Objective Predictive Balancing Control of Battery Packs Based on Predictive Current

Author

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  • Wenbiao Li

    (New Energy Research Center, School of Electric Power, South China University of Technology, Guangzhou 510640, China
    Guangdong Key Laboratory of Clean Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Longyun Kang

    (New Energy Research Center, School of Electric Power, South China University of Technology, Guangzhou 510640, China
    Guangdong Key Laboratory of Clean Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Xiangwei Guo

    (New Energy Research Center, School of Electric Power, South China University of Technology, Guangzhou 510640, China
    Guangdong Key Laboratory of Clean Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China
    College of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China)

  • Yuan Yao

    (New Energy Research Center, School of Electric Power, South China University of Technology, Guangzhou 510640, China
    Guangdong Key Laboratory of Clean Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China)

Abstract

Various balancing topology and control methods have been proposed for the inconsistency problem of battery packs. However, these strategies only focus on a single objective, ignore the mutual interaction among various factors and are only based on the external performance of the battery pack inconsistency, such as voltage balancing and state of charge (SOC) balancing. To solve these problems, multi-objective predictive balancing control (MOPBC) based on predictive current is proposed in this paper, namely, in the driving process of an electric vehicle, using predictive control to predict the battery pack output current the next time. Based on this information, the impact of the battery pack temperature caused by the output current can be obtained. Then, the influence is added to the battery pack balancing control, which makes the present degradation, temperature, and SOC imbalance achieve balance automatically due to the change of the output current the next moment. According to MOPBC, the simulation model of the balancing circuit is built with four cells in Matlab/Simulink. The simulation results show that MOPBC is not only better than the other traditional balancing control strategies but also reduces the energy loss in the balancing process.

Suggested Citation

  • Wenbiao Li & Longyun Kang & Xiangwei Guo & Yuan Yao, 2016. "Multi-Objective Predictive Balancing Control of Battery Packs Based on Predictive Current," Energies, MDPI, vol. 9(4), pages 1-12, April.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:4:p:298-:d:68476
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    Citations

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    Cited by:

    1. Hongrui Liu & Bo Li & Yixuan Guo & Chunfeng Du & Shilong Chen & Sizhao Lu, 2018. "Research into an Efficient Energy Equalizer for Lithium-Ion Battery Packs," Energies, MDPI, vol. 11(12), pages 1-11, December.
    2. Chusheng Lu & Longyun Kang & Shubiao Wang & Zefeng Wang & Huabing Rao, 2018. "A Novel Inductor-Based Non-Dissipative Equalizer," Energies, MDPI, vol. 11(10), pages 1-14, October.
    3. Shubiao Wang & Longyun Kang & Xiangwei Guo & Zefeng Wang & Ming Liu, 2017. "A Novel Layered Bidirectional Equalizer Based on a Buck-Boost Converter for Series-Connected Battery Strings," Energies, MDPI, vol. 10(7), pages 1-15, July.
    4. 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.

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