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Non-Destructive Analysis of Degradation Mechanisms in Cycle-Aged Graphite/LiCoO 2 Batteries

Author

Listed:
  • Liqiang Zhang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China)

  • Lixin Wang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China)

  • Chao Lyu

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China)

  • Junfu Li

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China)

  • Jun Zheng

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China)

Abstract

Non-destructive analysis of degradation mechanisms can be very beneficial for the prognostics and health management (PHM) study of lithium-ion batteries. In this paper, a type of graphite/LiCoO 2 battery was cycle aged at high ambient temperature, then 25 parameters of the multi-physics model were identified. Nine key parameters degraded with the cycle life, and they were treated as indicators of battery degradation. Accordingly, the degradation mechanism was discussed by using the multi-physics model and key parameters, and the reasons for capacity fade and the internal resistance increase were analyzed in detail. All evidence indicates that the formation reaction of the solid electrolyte interface (SEI) film is the main cause of battery degradation at high ambient temperature.

Suggested Citation

  • Liqiang Zhang & Lixin Wang & Chao Lyu & Junfu Li & Jun Zheng, 2014. "Non-Destructive Analysis of Degradation Mechanisms in Cycle-Aged Graphite/LiCoO 2 Batteries," Energies, MDPI, vol. 7(10), pages 1-24, September.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:10:p:6282-6305:d:40802
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    References listed on IDEAS

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    1. Fei Feng & Rengui Lu & Chunbo Zhu, 2014. "A Combined State of Charge Estimation Method for Lithium-Ion Batteries Used in a Wide Ambient Temperature Range," Energies, MDPI, vol. 7(5), pages 1-29, May.
    2. Hongwen He & Hongzhou Qin & Xiaokun Sun & Yuanpeng Shui, 2013. "Comparison Study on the Battery SoC Estimation with EKF and UKF Algorithms," Energies, MDPI, vol. 6(10), pages 1-13, September.
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    Cited by:

    1. Li, Junfu & Wang, Lixin & Lyu, Chao & Zhang, Liqiang & Wang, Han, 2015. "Discharge capacity estimation for Li-ion batteries based on particle filter under multi-operating conditions," Energy, Elsevier, vol. 86(C), pages 638-648.
    2. Li, Junfu & Wang, Lixin & Lyu, Chao & Wang, Dafang & Pecht, Michael, 2019. "Parameter updating method of a simplified first principles-thermal coupling model for lithium-ion batteries," Applied Energy, Elsevier, vol. 256(C).

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