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Double-Layer SOC and SOH Equalization Scheme for LiFePO 4 Battery Energy Storage System Using MAS Blackboard System

Author

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  • Zhongda Lu

    (School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar 161000, China)

  • Qilong Wang

    (School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar 161000, China)

  • Fengxia Xu

    (School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar 161000, China)

  • Mingqing Fan

    (School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar 161000, China)

  • Chuanshui Peng

    (Qiqihar Sida Railway Equipment Co., Ltd., Qiqihar 161006, China)

  • Shiwei Yan

    (Qiqihar Sida Railway Equipment Co., Ltd., Qiqihar 161006, China)

Abstract

26650 LiFePO 4 battery, as an ideal energy storage battery for the smart grid system, has the shortcomings of fast aging speed and large dispersion of aging trend, which is the reason for accelerating the 26650 battery system aging. However, it is noted that the 26650 LiFePO 4 battery with high aging trend dispersion shows the characteristics of grouping. Therefore, to prolong the 26650 battery system life, this paper proposes a state-of-charge (SOC) and state-of-health (SOH) double-layer equalization scheme for 26650 LiFePO 4 batteries based on a multi-agent blackboard system (MABS) that utilizes these characteristics. Based on MABS, the battery units with similar SOH are clustered into a group by a hierarchical-clustering algorithm. Then, SOH balancing is performed by changing the depth of charge and discharge (DOD) between groups, and SOC balancing is performed within the group. MATLAB simulation results verify the effectiveness of the proposed scheme in ensuring the balance of battery charge and discharge and prolonging the life of the battery energy storage system (BESS).

Suggested Citation

  • Zhongda Lu & Qilong Wang & Fengxia Xu & Mingqing Fan & Chuanshui Peng & Shiwei Yan, 2023. "Double-Layer SOC and SOH Equalization Scheme for LiFePO 4 Battery Energy Storage System Using MAS Blackboard System," Energies, MDPI, vol. 16(14), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5460-:d:1196740
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    References listed on IDEAS

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    1. Carla Menale & Stefano Constà & Vincenzo Sglavo & Livia Della Seta & Roberto Bubbico, 2022. "Experimental Investigation of Overdischarge Effects on Commercial Li-Ion Cells," Energies, MDPI, vol. 15(22), pages 1-16, November.
    2. Huang, Yu Wen & Kittner, Noah & Kammen, Daniel M., 2019. "ASEAN grid flexibility: Preparedness for grid integration of renewable energy," Energy Policy, Elsevier, vol. 128(C), pages 711-726.
    3. Seal, Sayani & Boulet, Benoit & Dehkordi, Vahid R., 2020. "Centralized model predictive control strategy for thermal comfort and residential energy management," Energy, Elsevier, vol. 212(C).
    4. Radhakrishnan, Bharat Menon & Srinivasan, Dipti, 2016. "A multi-agent based distributed energy management scheme for smart grid applications," Energy, Elsevier, vol. 103(C), pages 192-204.
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