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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Main Authors: Kai Zhang, Jianxiang Yin, Yunze He
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/3/712
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spelling 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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