An Ultrasonic-Based Novel Method for Condition Monitoring of Lithium-Ion Batteries

Lei Fu, Zhen Li, Zuolu Wang, Xiaoyu Zhao, Kunzuo Zhong, Wenxian Yang, Fengshou Gu, Andrew D. Ball

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

Abstract

Lithium-ion batteries (LiBs), as one of the most suitable choices for electric vehicles (EVs), are characterized with high energy density, efficiency, and long cycle life. As the primary concerns of thermal runaway and capacity fading are determined by internal feature changes, operation and degradation mechanisms of LiBs must be fully understood to evaluate the state of health (SOH) and optimize the design of the Battery Management System (BMS). A new method is introduced to enable a simultaneous monitoring the state of charge (SOC) of the cell and evaluate the SOH during operation. In this paper, experiments and investigations were performed to explore the internal features of the pouch cell working under one complete cycle with ultrasonic waves. In the experiment, 200, 400 and 600 kHz were selected as the frequencies of ultrasound excitation. In addition, Different ultrasonic power was also applied. Results show that frequency and power of ultrasound will affect the variation of amplitude of waveforms at the receiver. Among the 3 frequencies chosen, it seems that when the frequency increased, the ultrasound-based characteristics became clearer, which was in correspondence with Biot theory and elastic properties changes inside the battery. And higher ultrasonic power resulted in marked feature, these key findings provide new insights into condition monitoring and estimation on LiBs.

Original languageEnglish
Title of host publicationProceedings of the UNIfied Conference of DAMAS, IncoME VIII and TEPEN Conferences
Subtitle of host publicationUNIfied 2024—Volume 1
EditorsManeesh Singh, Gunjan Soni, Jyoti Sinha, Andrew D. Ball, Fengshou Gu, Huajiang Ouyang, Carol Featherston
PublisherSpringer, Cham
Pages315-329
Number of pages15
Edition1st
ISBN (Electronic)9783031933271
ISBN (Print)9783031933264, 9783031933295
DOIs
Publication statusPublished - 4 Oct 2025
EventUNIfied International Conference on Emerging Technologies in Cyber-Physical Systems and Industrial AI - Jaipur, India
Duration: 26 Nov 202428 Nov 2024
https://mnit.ac.in/news/news?newsid=QK+M3Q==
https://unified2024.netlify.app/

Publication series

NameMechanisms and Machine Science
PublisherSpringer Cham
Volume181 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

ConferenceUNIfied International Conference on Emerging Technologies in Cyber-Physical Systems and Industrial AI
Abbreviated titleUNIfied 2024
Country/TerritoryIndia
CityJaipur
Period26/11/2428/11/24
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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