A Pulse Impedance Technique for Fast State of Health Estimation of EV Lithium-Ion Batteries

Xiaoyu Zhao, Zuolu Wang, Li Eric, Fengshou Gu, Andrew D. Ball

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

Abstract

As efficient energy storage devices, batteries have built a close connection with the world of human beings. The lifespan and safety of batteries have always been a major concern and received massive attention from researchers for online monitoring battery conditions. Moreover, as batteries are integrated into applications on a growing scale, and the energy density of the battery is increasing, any problem from a small cell has a greater potential to cause the entire battery pack to catch fire or even explode within a short period of time. Thus, an online method for rapid assessing the state of health (SOH) of a battery is highly valuable. This paper aims at developing more efficient techniques to monitor the lithium-ion battery SOH. In particular, a novel method is proposed based on dynamic responses of current and voltage transient spikes, rather than the static ones adopted in the conventional current pulse method. This method combines both static and dynamic responses through a fast impedance measurement based on pulse dynamic responses, which therefore is named as Pulse Impedance Technique (PIT). The fundamental theory and implementing procedure are presented along with preliminary evaluation results, demonstrating the performance of this impedance-based method allows SOH to be estimated effectively.

Original languageEnglish
Title of host publicationProceedings of TEPEN 2022
Subtitle of host publicationEfficiency and Performance Engineering Network
EditorsHao Zhang, Yongjian Ji, Tongtong Liu, Xiuquan Sun, Andrew David Ball
PublisherSpringer, Cham
Pages220-233
Number of pages14
Volume129
ISBN (Electronic)9783031261930
ISBN (Print)9783031261923, 9783031261954
DOIs
Publication statusPublished - 4 Mar 2023
EventInternational Conference of The Efficiency and Performance Engineering Network 2022 - Baotou, China
Duration: 18 Aug 202221 Aug 2022
https://tepen.net/
https://tepen.net/conference/tepen2022/

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume129 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

ConferenceInternational Conference of The Efficiency and Performance Engineering Network 2022
Abbreviated titleTEPEN 2022
Country/TerritoryChina
CityBaotou
Period18/08/2221/08/22
Internet address

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