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Quantitative Analysis of Degradation Modes of Lithium-Ion Battery under Different Operating Conditions

Author

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  • Hao Sun

    (School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
    National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China)

  • Bo Jiang

    (School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
    National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China)

  • Heze You

    (School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
    National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China)

  • Bojian Yang

    (United Automotive Electronic Systems Co., Ltd., No. 555, Rongqiao Road, Shanghai 201206, China)

  • Xueyuan Wang

    (Department of Control Science and Engineering, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China)

  • Xuezhe Wei

    (School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
    National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China)

  • Haifeng Dai

    (School of Automotive Studies, Tongji University, No. 4800, Caoan Road, Shanghai 201804, China
    National Fuel Cell Vehicle & Powertrain System Research & Engineering Center, No. 4800, Caoan Road, Shanghai 201804, China)

Abstract

The degradation mode is of great significance for reducing the complexity of research on the aging mechanisms of lithium-ion batteries. Previous studies have grouped the aging mechanisms into three degradation modes: conductivity loss (CL), loss of lithium inventory (LLI) and loss of active material (LAM). Combined with electrochemical impedance spectroscopy (EIS), degradation modes can be identified and quantified non-destructively. This paper aims to extend the application of this method to more operating conditions and explore the impact of external factors on the quantitative results. Here, we design a quantification method using two equivalent circuit models to cope with the different trends of impedance spectra during the aging process. Under four conditions, the changing trends of the quantitative values of the three degradation modes are explored and the effects of the state of charge (SoC) and excitation current during EIS measurement are statistically analyzed. It is verified by experiments that LLI and LAM are the most critical aging mechanisms under various conditions. The selection of SoC has a significant effect on the quantitative results, but the influence of the excitation current is not obvious.

Suggested Citation

  • Hao Sun & Bo Jiang & Heze You & Bojian Yang & Xueyuan Wang & Xuezhe Wei & Haifeng Dai, 2021. "Quantitative Analysis of Degradation Modes of Lithium-Ion Battery under Different Operating Conditions," Energies, MDPI, vol. 14(2), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:350-:d:477980
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    References listed on IDEAS

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    Cited by:

    1. Li, Alan G. & West, Alan C. & Preindl, Matthias, 2022. "Towards unified machine learning characterization of lithium-ion battery degradation across multiple levels: A critical review," Applied Energy, Elsevier, vol. 316(C).

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