Rapid State of Health Estimation of Lithium-ion Batteries based on An Active Acoustic Emission Sensing Method

Zuolu Wang, Kaibo Lu, Xun Chen, Dong Zhen, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Lithium-ion batteries have widely used as the power sources of electric vehicles (EVs). Accurate and rapid state of health (SOH) estimation in the battery management system (BMS) plays an essential part in improving the reliability and safety of electric systems. This paper develops an active acoustic emission (AE) sensing technology for nonintrusive and rapid battery SOH estimation. The proposed method takes consideration into the changing internal battery material properties under different levels of degradation. In this method, the power ultrasound is used to propagate into the layered battery and excite different AE events of the battery under different cycles. The AE transducer from the opposite side of the battery can actively sense the elastic waves that reflect the life status. This allows more state information to be captured in a wide frequency band for effective SOH estimation. The results indicate that the RMS of the AE signal can be indicative of battery SOH, and the frequency band 270-300 kHz can provide a more linear SOH estimation under various discharging stages. It is validated that the developed technique can achieve rapid and reliable SOH estimation of lithium-ion batteries.

Original languageEnglish
Title of host publication2022 27th International Conference on Automation and Computing
Subtitle of host publicationSmart Systems and Manufacturing, ICAC 2022
EditorsChenguang Yang, Yuchun Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665498074
ISBN (Print)9781665498081
DOIs
Publication statusPublished - 10 Oct 2022
Event27th International Conference on Automation and Computing, ICAC 2022 - Bristol, United Kingdom
Duration: 1 Sep 20223 Sep 2022

Conference

Conference27th International Conference on Automation and Computing, ICAC 2022
Country/TerritoryUnited Kingdom
CityBristol
Period1/09/223/09/22

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