Detection of battery capacity degradation based on morphological structure. (August 2019)

• Record Type: Journal Article
• Authors: Li, Lifu; Shi, Sheng; Xie, Zongxuan; Zhang, Xiaofang
• Is Part Of: Journal of physics. Volume 1303(2019)
• Publication Date: 2019-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1303/1/012121
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Owing to the fact that the existing battery capacity degradation detection method ignores the changes of battery internal morphological structure as the cycle number increases, it is hard to predict the rapid capacity degradation of the battery during the cycle process, which leads to errors of the battery capacity degradation detection result. This paper analyzes the changes in the morphological structure of the battery under different cycle numbers by means of tomographic images. At the same time, through the method of numerical analysis, the impact that the battery internal morphological structure change exerts on the battery capacity degradation is quantitatively analyzed, which provides a new way for detecting the capacity degradation of lithium ion battery.