Ultrasonic health monitoring of lithium-ion batteries

Yi Wu, Youren Wang, Winco K.C. Yung, Michael Pecht

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Article number751
JournalElectronics (Switzerland)
Volume8
Issue number7
DOIs
Publication statusPublished - 3 Jul 2019

Keywords

  • Data fusion
  • Failure indication
  • Health monitoring
  • Lithium-ion battery
  • State of health
  • Ultrasonic sensing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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