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Analysis and Verification of Equivalent Circuit Model of Soft-Pack Lithium Batteries

Author

Listed:
  • Fei Li

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zhaojie Li

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yanlei Zhang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Guoning Xu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Xuwei Wang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Haoyi Zhang

    (Leicester International Institute, Dalian University of Technology, Panjin 124221, China)

Abstract

High-energy-density lithium batteries play a crucial role in the lightweight design of stratospheric airship systems. This paper conducts an in-depth experimental study of the equivalent circuit model of soft-pack batteries, with a focus on how parameter identification methods affect model accuracy. To this end, first-order RC, second-order RC, and third-order RC equivalent circuit models were constructed, and model parameters under different temperature and current conditions were obtained through constant-current intermittent discharge experiments. During the parameter identification process, special consideration was given to the impact of sampling time on voltage measurements and the interdependent constraints among models. Additionally, the effects of current, temperature, and SOC (state of charge) variations on ohmic resistance and polarization resistance–capacitor parameters were analyzed. The experimental results show that the root mean square error (RMSE) of battery terminal voltage calculated using parameter identification methods that account for these factors is significantly lower than when these factors are not considered. By comparing the voltage calculation accuracy and operational efficiency of the three models, the second-order RC model was determined to be the preferred choice due to its simple structure, high computational efficiency, and superior accuracy.

Suggested Citation

  • Fei Li & Zhaojie Li & Yanlei Zhang & Guoning Xu & Xuwei Wang & Haoyi Zhang, 2025. "Analysis and Verification of Equivalent Circuit Model of Soft-Pack Lithium Batteries," Energies, MDPI, vol. 18(3), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:510-:d:1574181
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    References listed on IDEAS

    as
    1. Kaiyin Song & Zhaojie Li & Yanlei Zhang & Xuwei Wang & Guoning Xu & Xiaojun Zhang, 2023. "Power Generation Calculation Model and Validation of Solar Array on Stratospheric Airships," Energies, MDPI, vol. 16(20), pages 1-17, October.
    2. Bizhong Xia & Zhen Sun & Ruifeng Zhang & Zizhou Lao, 2017. "A Cubature Particle Filter Algorithm to Estimate the State of the Charge of Lithium-Ion Batteries Based on a Second-Order Equivalent Circuit Model," Energies, MDPI, vol. 10(4), pages 1-15, April.
    3. Giulio Barletta & Piera DiPrima & Davide Papurello, 2022. "Thévenin’s Battery Model Parameter Estimation Based on Simulink," Energies, MDPI, vol. 15(17), pages 1-10, August.
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