Probing Fault Features of Lithium-Ion Battery Modules under Mechanical Deformation Loading

Anwei Zhang, You Zhou, Chengyun Wang (), Shoutong Liu, Peifeng Huang (), Hao Yan and Zhonghao Bai
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Anwei Zhang: GAC Automotive Research & Development Center, Guangzhou 511434, China
You Zhou: GAC Automotive Research & Development Center, Guangzhou 511434, China
Chengyun Wang: GAC Automotive Research & Development Center, Guangzhou 511434, China
Shoutong Liu: State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha 410012, China
Peifeng Huang: State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha 410012, China
Hao Yan: GAC Automotive Research & Development Center, Guangzhou 511434, China
Zhonghao Bai: State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha 410012, China

Sustainability, 2023, vol. 15, issue 15, 1-13

Abstract: Electric vehicle battery systems are easily deformed following bottom or side pillar collisions. There is a knowledge gap regarding the fault features of minor mechanical deformation without ISC, which can be used for early warning of mechanical deformation. In this study, the fault features of a lithium-ion battery module under different degrees of mechanical deformation were studied from the perspective of voltage consistency. The results show that the capacity of the battery module declines with an increase in indentation depth, consistent with the capacity degradation of the indented cell. During the charging and discharging processes, the voltage of the indented cell deviates to a lower value compared to the other normal cells. At the end of the discharging process, the voltage sharply declines and exhibits a significant deviation from the other normal cells. The Mean Normalization (MN) method is employed to quantitatively describe the voltage consistency. The results indicate that the MN value of the indented cell’s voltage is distributed at the lowest during the charging period and sharply declines below −0.06 at the end of discharging. In the future, a fault detection method for mechanical abuse will be established based on these features.

Keywords: battery system; mechanical abuse; voltage consistency; mean normalization; risk management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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