Damage analysis of cylindrical lithium-ion cells under three-points bending using acoustic emission

被引:15
|
作者
Hao, Wenfeng [1 ,2 ,3 ]
Yuan, Zengrui [1 ,2 ]
Xu, Yezhuang [1 ,2 ]
Zhu, Shengxin [3 ]
Chen, Haosen [3 ]
Fang, Daining [3 ]
机构
[1] Jiangsu Univ, Fac Civil Engn & Mech, Inst Struct Hlth Management, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Jiangsu Univ, Natl Ctr Int Res Struct Hlth Management Crit Comp, Zhenjiang 212013, Jiangsu, Peoples R China
[3] Beijing Inst Technol, Inst Adv Struct Technol, Beijing 100081, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Lithium-ion cells; Damage analysis; Acoustic emission; Three-points bending; Wavelet transform; REPRESENTATIVE VOLUME ELEMENTS; BRAIDING COMPOSITE SHAFTS; BATTERY CELLS; IN-SITU; COMPUTATIONAL MODELS; MECHANICAL-BEHAVIOR; FAILURE MECHANISMS; ELECTRIC VEHICLES; SHORT-CIRCUIT; HEALTH;
D O I
10.1016/j.jpowsour.2019.227323
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Lithium-ion cells are vulnerable to various types of deformations due to the influence of external forces. Failure to detect the damage degree of lithium-ion cells affects the cell use and can be dangerous. In this paper, the failure process of cylindrical lithium-ion cells under three-points bending was studied using acoustic emission (AE). A real time in situ experimental platform was built based on voltage and AE monitoring. The AE signals of three 18650 lithium-ion cells were obtained, and the wavelet transformation was used to analyze the signals. The load-displacement curves and the AE signals in time domain of the lithium-ion cells were divided into four stages, which corresponded to different failure modes of the lithium-ion cells. The time-frequency analysis was performed, and the corresponding frequency and energy of the signals in different failure stages were obtained, which verified the time domain results. The results showed that the AE technique was an effective tool for failure monitoring of the lithium-ion cells, and the different failure modes were recognized by the AE signal characteristics.
引用
收藏
页数:9
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