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Open AccessArticle

Acoustic Emission Detection and Analysis Method for Health Status of Lithium Ion Batteries

by 1, 2,3 and 2,*
1
Automotive and Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, China
2
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
3
State Grid Changde Power Supply Company, Changde 415000, China
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(3), 712; https://doi.org/10.3390/s21030712
Received: 4 December 2020 / Revised: 17 January 2021 / Accepted: 18 January 2021 / Published: 21 January 2021
(This article belongs to the Section Fault Diagnosis & Sensors)
The health detection of lithium ion batteries plays an important role in improving the safety and reliability of lithium ion batteries. When lithium ion batteries are in operation, the generation of bubbles, the expansion of electrodes, and the formation of electrode cracks will produce stress waves, which can be collected and analyzed by acoustic emission technology. By building an acoustic emission measurement platform of lithium ion batteries and setting up a cycle experiment of lithium ion batteries, the stress wave signals of lithium ion batteries were analyzed, and two kinds of stress wave signals which could characterize the health of lithium ion batteries were obtained: a continuous acoustic emission signal and a pulse type acoustic emission signal. The experimental results showed that during the discharge process, the amplitude of the continuous acoustic emission signal decreased with the increase of the cycle times of batteries, which could be used to characterize performance degradation; there were more pulse type acoustic emission signals in the first cycle of batteries, less in the small number of cycles, and slowly increased in the large number of cycles, which was in line with the bathtub curve and could be used for aging monitoring. The research on the health of lithium ion batteries by acoustic emission technology provides a new idea and method for detecting the health lithium ion batteries. View Full-Text
Keywords: lithium ion battery; State of Health; acoustic emission; stress wave lithium ion battery; State of Health; acoustic emission; stress wave
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MDPI and ACS Style

Zhang, K.; Yin, J.; He, Y. Acoustic Emission Detection and Analysis Method for Health Status of Lithium Ion Batteries. Sensors 2021, 21, 712. https://doi.org/10.3390/s21030712

AMA Style

Zhang K, Yin J, He Y. Acoustic Emission Detection and Analysis Method for Health Status of Lithium Ion Batteries. Sensors. 2021; 21(3):712. https://doi.org/10.3390/s21030712

Chicago/Turabian Style

Zhang, Kai; Yin, Jianxiang; He, Yunze. 2021. "Acoustic Emission Detection and Analysis Method for Health Status of Lithium Ion Batteries" Sensors 21, no. 3: 712. https://doi.org/10.3390/s21030712

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