State Estimation of Lithium-Ion Battery using Radius of Curvature based on Electrochemical Impdance Spectroscopy

Young Soo Kim, Hyeong Min Lee, Seon Hyeog Kim, Yong June Shin

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

1 Citation (Scopus)

Abstract

Monitoring state of lithium-ion battery (LIB) is important to prevent energy storage system (ESS)-related accidents. One of the most common methods for LIB state estimation is analysis of electrochemical impedance spectroscopy (EIS). This method analyzes chemical structure of LIB by electrochemical equivalent circuit. But EIS measurement has a limit in generating input current due to limit of voltage and difficulty in sweeping the frequency of current source. In this paper, the new state estimation method of LIB by replacing the current source used in conventional EIS device with voltage source is used. Also, the new EIS analysis method with radius of curvature (ROC) is introduced. The proposed method estimates impedance for LIB with a different aging cycle and compares the result with EIS measurement result. Also, by analyzing the radius of curvature of the Nyquist plot of EIS, it can be confirmed that the aging effect can be measured equally with EIS device data and proposed method.

Original languageEnglish
Title of host publication2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages343-346
Number of pages4
ISBN (Electronic)9784886864314
DOIs
Publication statusPublished - 2022
Event9th International Conference on Condition Monitoring and Diagnosis, CMD 2022 - Virtual, Online, Japan
Duration: 2022 Nov 132022 Nov 18

Publication series

Name2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022

Conference

Conference9th International Conference on Condition Monitoring and Diagnosis, CMD 2022
Country/TerritoryJapan
CityVirtual, Online
Period22/11/1322/11/18

Bibliographical note

Publisher Copyright:
© 2022 IEEJ.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Electronic, Optical and Magnetic Materials

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