Articles
  • Real-time detection of lithium precipitation during battery charging
  • Jing Ninga,b, Bing Xiaoa,* and Zhong Wenhuia

  • aCollege of Automation Science and Engineering, South China University of Technology, Guangzhou, China
    bNational Demonstration Center for Experimental Economics and Management Education, Guangdong University of Finance and Economics, Guangzhou, China

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The real-time detection of lithium precipitation is significant to avoid internal short circuit and even thermal runaway. Distinguished from the sophisticated, long-duration testing in the lab, the paper introduces an innovative method for detecting lithium precipitation in the application scenarios of the battery charging process. First, the Warburg impedance is extended to conical symmetry and the lithium-ions diffusion model for lithium precipitation is presented. Second, to measure the parameters inside the battery at the microscopic scales by the external variable, porous electrode model for lithium precipitation is created. Third, lithium precipitation detection technique easily integrated in the charging device is presented. The result indicates that the ripple current is high when the SOH of the normal battery is up to 93.2%, but the ripple current goes down when the SOH is 27.4% due to lithium precipitation. Compared with the impedance of normal batteries around the cluster centre in the low-frequency range of 0.5~3 Hz, the battery impedance with lithium precipitation is Scattered and uncertain


Keywords: Lithium precipitation, Warburg, Lithium-ions diffusion model, Porous electrode model, Charging.

This Article

  • 2024; 25(5): 842-852

    Published on Oct 31, 2024

  • 10.36410/jcpr.2024.25.5.842
  • Received on Jul 4, 2024
  • Revised on Jul 29, 2024
  • Accepted on Jul 31, 2024

Correspondence to

  • Bing Xiao
  • College of Automation Science and Engineering, South China University of Technology, Guangzhou, China
    Tel : +86-020-87118500

  • E-mail: aubxiao@scut.edu.cn