Degradation Detection of Series-Connected Li-ion based ESS via Time Domain Reflectometry

Hyeong Min Lee, Yong June Shin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a technique for degradation detection of series-connected lithium-ion batteries (LiBs) using time domain reflectometry (TDR). Since the internal impedance of the LiB changes during the degradation process, TDR can detect the degraded LiB with its location by analyzing the reference and reflected signals from the LiB under test. The proposed method is verified by experiments with a test to detect degraded LiB with a simultaneous monitoring test to observe changes in the reflected signal during thermal aging. To analyze the correlation between the magnitude of the reflected signal and the degree of degradation, the internal impedance of the LiBs under test is measured using electrochemical impedance spectroscopy. As the internal impedance increases due to degradation, the magnitude of the reflected signal increases, enabling the location of the degraded LiB to be detected using TDR.

Original languageEnglish
Title of host publication2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350399714
DOIs
Publication statusPublished - 2023
Event32nd IEEE International Symposium on Industrial Electronics, ISIE 2023 - Helsinki, Finland
Duration: 2023 Jun 192023 Jun 21

Publication series

NameIEEE International Symposium on Industrial Electronics
Volume2023-June

Conference

Conference32nd IEEE International Symposium on Industrial Electronics, ISIE 2023
Country/TerritoryFinland
CityHelsinki
Period23/6/1923/6/21

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Degradation Detection of Series-Connected Li-ion based ESS via Time Domain Reflectometry'. Together they form a unique fingerprint.

Cite this