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Detecting undesired lithium plating on anodes for lithium-ion batteries – A review on the in-situ methods

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  • Tian, Yu
  • Lin, Cheng
  • Li, Hailong
  • Du, Jiuyu
  • Xiong, Rui

Abstract

Lithium plating on anodes, which can happen during fast charging and low-temperature charging, and/or after long-term cycling, plays a crucial role in the aging of lithium-ion batteries (LIBs) and leads to irreversible capacity fade and severe safety hazards. This study systematically reviews the recent progress in developing methods for in-situ detecting lithium plating in order to provide guidelines regarding selecting proper methods for on-board applications. In general, lithium plating can be divided into three stages according to the damage level. There are two categories of methods, electrochemical methods and physical methods, which can be used to detect lithium plating. Their principles, features, and limitations have been thoroughly analyzed. Trends for the prospective development of novel technologies are also discussed.

Suggested Citation

  • Tian, Yu & Lin, Cheng & Li, Hailong & Du, Jiuyu & Xiong, Rui, 2021. "Detecting undesired lithium plating on anodes for lithium-ion batteries – A review on the in-situ methods," Applied Energy, Elsevier, vol. 300(C).
    • Handle: RePEc:eee:appene:v:300:y:2021:i:c:s0306261921007893
    DOI: 10.1016/j.apenergy.2021.117386
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    References listed on IDEAS

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    Cited by:

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    2. Zhou, Boru & Fan, Guodong & Wang, Yansong & Liu, Yisheng & Chen, Shun & Sun, Ziqiang & Meng, Chengwen & Yang, Jufeng & Zhang, Xi, 2024. "Life-extending optimal charging for lithium-ion batteries based on a multi-physics model and model predictive control," Applied Energy, Elsevier, vol. 361(C).
    3. Yu, Xiao & Lin, Cheng & Zhao, Mingjie & Yi, Jiang & Su, Yue & Liu, Huimin, 2022. "Optimal energy management strategy of a novel hybrid dual-motor transmission system for electric vehicles," Applied Energy, Elsevier, vol. 321(C).
    4. Liu, Yisheng & Fan, Guodong & Zhou, Boru & Chen, Shun & Sun, Ziqiang & Wang, Yansong & Zhang, Xi, 2023. "Rapid and flexible battery capacity estimation using random short-time charging segments based on residual convolutional networks," Applied Energy, Elsevier, vol. 351(C).
    5. Ko, Chi-Jyun & Chen, Kuo-Ching, 2024. "Constructing battery impedance spectroscopy using partial current in constant-voltage charging or partial relaxation voltage," Applied Energy, Elsevier, vol. 356(C).
    6. Yu, Xiao & Lin, Cheng & Tian, Yu & Zhao, Mingjie & Liu, Huimin & Xie, Peng & Zhang, JunZhi, 2023. "Real-time and hierarchical energy management-control framework for electric vehicles with dual-motor powertrain system," Energy, Elsevier, vol. 272(C).

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