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Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra

Author

Listed:
  • Dongxu Guo

    (Department of Automation, Tsinghua University, Beijing 100084, China)

  • Geng Yang

    (Department of Automation, Tsinghua University, Beijing 100084, China)

  • Guangjin Zhao

    (State Grid Henan Electric Power Research Institute, Zhengzhou 450052, China)

  • Mengchao Yi

    (College of Engineering, China Agricultural University, Beijing 100083, China)

  • Xuning Feng

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

  • Xuebing Han

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

  • Languang Lu

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

  • Minggao Ouyang

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

Abstract

Electrochemical impedance spectroscopy (EIS) is a powerful tool for investigating electrochemical systems, such as lithium-ion batteries or fuel cells, given its high frequency resolution. The distribution of relaxation times (DRT) method offers a model-free approach for a deeper understanding of EIS data. However, in lithium-ion batteries, the differential capacity caused by diffusion processes is non-negligible and cannot be decomposed by the DRT method, which limits the applicability of the DRT method to lithium-ion batteries. In this study, a joint estimation method with Tikhonov regularization is proposed to estimate the differential capacity and the DRT simultaneously. Moreover, the equivalence of the differential capacity and the incremental capacity is proven. Different types of commercial lithium-ion batteries are tested to validate the joint estimation method and to verify the equivalence. The differential capacity is shown to be a promising approach to the evaluation of the state-of-health (SOH) of lithium-ion batteries based on its equivalence with the incremental capacity.

Suggested Citation

  • Dongxu Guo & Geng Yang & Guangjin Zhao & Mengchao Yi & Xuning Feng & Xuebing Han & Languang Lu & Minggao Ouyang, 2020. "Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra," Energies, MDPI, vol. 13(4), pages 1-14, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:915-:d:321982
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    References listed on IDEAS

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    Cited by:

    1. Yun Bao & Yuansheng Chen, 2021. "Lithium-Ion Battery Real-Time Diagnosis with Direct Current Impedance Spectroscopy," Energies, MDPI, vol. 14(15), pages 1-16, July.
    2. Dong Zhu & Yanbo Yang & Tiancai Ma, 2022. "Evaluation the Resistance Growth of Aged Vehicular Proton Exchange Membrane Fuel Cell Stack by Distribution of Relaxation Times," Sustainability, MDPI, vol. 14(9), pages 1-19, May.
    3. Chuan Xiang & Qi Cheng & Yizheng Zhu & Hongge Zhao, 2023. "Sliding Mode Control of Ship DC Microgrid Based on an Improved Reaching Law," Energies, MDPI, vol. 16(3), pages 1-14, January.
    4. Lai, Xin & Huang, Yunfeng & Deng, Cong & Gu, Huanghui & Han, Xuebing & Zheng, Yuejiu & Ouyang, Minggao, 2021. "Sorting, regrouping, and echelon utilization of the large-scale retired lithium batteries: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).

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