A Distribution of Relaxation Time Approach on Equivalent Circuit Model Parameterization to Analyse Li-ion Battery Degradation

E. Aguilar Boj, S. Azizighalehsari*, P. Venugopal, G. Rietveld, T. Batista Soeiro

*Corresponding author for this work

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

3 Citations (Scopus)
120 Downloads (Pure)

Abstract

The time-varying and complex electrochemical behaviour inherent to Li-ion batteries cause a great challenge to its diagnostics and prognostics. Electrochemical impedance spectroscopy (EIS) based mapping of the impedance datasets as a function of frequency to equivalent electrical elements specific to physical/chemical characteristics is vital to validate the equivalent circuit models (ECM). Distribution of relaxation times (DRT) is a method to convert the EIS impedance spectra as a function of frequency to a distribution of time constants representing an RC network in a battery ECM. Modeling the battery with detailed consideration of EIS data is the main advantage of the DRT technique. In this work, the whole process of modeling a large amount of EIS data has been done automatically, selecting only the dominant peaks present during the entire battery ageing to increase computational efficiency. The results show that good accuracy is achieved in monitoring the degradation of a Li-ion cell and that the dispersion of the different fits is consistent throughout the data set.
Original languageEnglish
Title of host publication2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia)
Subtitle of host publicationGreen World with Power Electronics
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1403-1409
Number of pages7
ISBN (Electronic)978-89-5708-350-5
ISBN (Print)979-8-3503-3620-7
DOIs
Publication statusPublished - 22 Aug 2023
Event11th International Conference on Power Electronics - ECCE Asia, ICPE 2023 - Jeju, Korea, Republic of
Duration: 22 May 202325 May 2023
Conference number: 11

Publication series

NameInternational Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia)
PublisherIEEE
Number11
Volume2023
ISSN (Print)2150-6078
ISSN (Electronic)2150-6086

Conference

Conference11th International Conference on Power Electronics - ECCE Asia, ICPE 2023
Abbreviated titleICPE 2023
Country/TerritoryKorea, Republic of
CityJeju
Period22/05/2325/05/23

Keywords

  • Lithium-ion batteries
  • Degradation
  • Analytical modelling
  • Diagnostics and Prognostics
  • Distribution of Relaxation times (DRT)
  • Electrochemical Impedance Spectroscopy (EIS)
  • Equivalent Circuit Models (ECM)
  • 2023 OA procedure

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