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A Fractional-Order Kinetic Battery Model of Lithium-Ion Batteries Considering a Nonlinear Capacity
Open AccessArticle

Ultrasonic Health Monitoring of Lithium-Ion Batteries

1
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2
Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USA
3
Department of Industrial and System Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(7), 751; https://doi.org/10.3390/electronics8070751
Received: 10 April 2019 / Revised: 26 June 2019 / Accepted: 1 July 2019 / Published: 3 July 2019
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PDF [4427 KB, uploaded 3 July 2019]
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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. View Full-Text
Keywords: lithium-ion battery; ultrasonic sensing; health monitoring; state of health; failure indication; data fusion lithium-ion battery; ultrasonic sensing; health monitoring; state of health; failure indication; data fusion
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Wu, Y.; Wang, Y.; Yung, W.K.C.; Pecht, M. Ultrasonic Health Monitoring of Lithium-Ion Batteries. Electronics 2019, 8, 751.

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