Acoustic Emission Detection and Analysis Method for Health Status of Lithium ion Batteries
<b> </b><b>Abstract: </b>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 format...
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doaj-9850b5d7d5124699a56362e67419a3e42021-01-22T00:02:57ZengMDPI AGSensors1424-82202021-01-012171271210.3390/s21030712Acoustic Emission Detection and Analysis Method for Health Status of Lithium ion BatteriesKai Zhang0Jianxiang Yin1Yunze He2Automotive and Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, China<b> </b><b>Abstract: </b>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.https://www.mdpi.com/1424-8220/21/3/712lithium ion batteryState of Healthacoustic emissionstress wave |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kai Zhang Jianxiang Yin Yunze He |
spellingShingle |
Kai Zhang Jianxiang Yin Yunze He Acoustic Emission Detection and Analysis Method for Health Status of Lithium ion Batteries Sensors lithium ion battery State of Health acoustic emission stress wave |
author_facet |
Kai Zhang Jianxiang Yin Yunze He |
author_sort |
Kai Zhang |
title |
Acoustic Emission Detection and Analysis Method for Health Status of Lithium ion Batteries |
title_short |
Acoustic Emission Detection and Analysis Method for Health Status of Lithium ion Batteries |
title_full |
Acoustic Emission Detection and Analysis Method for Health Status of Lithium ion Batteries |
title_fullStr |
Acoustic Emission Detection and Analysis Method for Health Status of Lithium ion Batteries |
title_full_unstemmed |
Acoustic Emission Detection and Analysis Method for Health Status of Lithium ion Batteries |
title_sort |
acoustic emission detection and analysis method for health status of lithium ion batteries |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-01-01 |
description |
<b> </b><b>Abstract: </b>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. |
topic |
lithium ion battery State of Health acoustic emission stress wave |
url |
https://www.mdpi.com/1424-8220/21/3/712 |
work_keys_str_mv |
AT kaizhang acousticemissiondetectionandanalysismethodforhealthstatusoflithiumionbatteries AT jianxiangyin acousticemissiondetectionandanalysismethodforhealthstatusoflithiumionbatteries AT yunzehe acousticemissiondetectionandanalysismethodforhealthstatusoflithiumionbatteries |
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