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Title: Ultrasonic health monitoring of lithium-ion batteries
Authors: Wu, Y
Wang, Y
Yung, WKC 
Pecht, M
Keywords: Data fusion
Failure indication
Health monitoring
Lithium-ion battery
State of health
Ultrasonic sensing
Issue Date: 2019
Publisher: MDPI
Source: Electronics (Switzerland), 2019, v. 8, no. 7, 751 How to cite?
Journal: Electronics (Switzerland) 
Abstract: Because of the complex physiochemical nature of the lithium-ion battery, it is difficult to identify the internal changes that lead to battery degradation and failure. This study develops an ultrasonic sensing technique for monitoring the commercial lithium-ion pouch cells and demonstrates this technique through experimental studies. Data fusion analysis is implemented using the ultrasonic sensing data to construct a new battery health indicator, thus extending the capabilities of traditional battery management systems. The combination of the ultrasonic sensing and data fusion approach is validated and shown to be effective for degradation assessment as well as early failure indication.
EISSN: 2079-9292
DOI: 10.3390/electronics8070751
Rights: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
The following publication Wu Y, Wang Y, Yung WKC, Pecht M. Ultrasonic Health Monitoring of Lithium-Ion Batteries. Electronics. 2019; 8(7):751, is available at
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