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Verification Platform of SOC Estimation Algorithm for Lithium-Ion Batteries of Electric Vehicles

Author

Listed:
  • Bizhong Xia

    (Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

  • Guanyong Zhang

    (Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

  • Huiyuan Chen

    (Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

  • Yuheng Li

    (Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

  • Zhuojun Yu

    (Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

  • Yunchao Chen

    (Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

Abstract

As one of the core technologies of electric vehicles (EVs), the state of charge ( SOC ) estimation algorithm of lithium-ion batteries is directly related to the performance of the battery management system (BMS). Before EVs are put into the market, the SOC estimation algorithm must be tested and verified to ensure the reliability of the BMS and the safe operation of EVs. Therefore, this paper establishes a lithium-ion batteries’ SOC estimation algorithm verification platform for the comprehensive performance evaluation and verification of the new SOC estimation algorithm. In addition, there are two schemes, including real-time SOC estimation verification and offline SOC estimation verification can be selected, which improve the reliability and efficiency of verification. Firstly, the design idea of the verification platform (the research and development purpose, functional requirements, and the overall design scheme) is introduced in detail. Secondly, the modular design idea is used to design the hardware structure of the verification platform, which mainly includes the BMS host module, BMS slave module, battery charger module, and electronic load module. Finally, the software system, including the communication architecture, the SOC reference standard and evaluation indexes of the algorithm, and the upper computer function and implementation is designed to realize the functions of the verification platform.

Suggested Citation

  • Bizhong Xia & Guanyong Zhang & Huiyuan Chen & Yuheng Li & Zhuojun Yu & Yunchao Chen, 2022. "Verification Platform of SOC Estimation Algorithm for Lithium-Ion Batteries of Electric Vehicles," Energies, MDPI, vol. 15(9), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3221-:d:804243
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    References listed on IDEAS

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    Cited by:

    1. Xinghao Zhang & Yan Huang & Zhaowei Zhang & Huipin Lin & Yu Zeng & Mingyu Gao, 2022. "A Hybrid Method for State-of-Charge Estimation for Lithium-Ion Batteries Using a Long Short-Term Memory Network Combined with Attention and a Kalman Filter," Energies, MDPI, vol. 15(18), pages 1-26, September.

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