State of Charge Estimation Based on Thermal Modeling Compensation Considering Capacity Variation by Internal Temperature Effects of LiFePO4 Battery

  • Jong Hun Lim
  • , Go Woon Heo
  • , Je Yeong Lim
  • , Dong Hwan Kim
  • , Bumsu Jun
  • , Byoung Kuk Lee

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

2 Scopus citations

Abstract

This paper proposes a state-of-charge (SOC) estimation method based on the thermal modeling compensation considering the capacity loss of lithium-ion battery for internal temperature effects. The proposed method extracts the capacity for the operating temperature range and configures the temperature-capacity curve through curve fitting. In addition, an experimental thermal model is extracted to estimate the surface temperature generated by the internal conduction heat. The surface temperature and internal temperature deviation are compensated based on the extracted thermal model. The feasibility of the proposed method is verified by comparing the SOC estimation accuracy according to the temperature change of the lithium iron phosphate battery.

Original languageEnglish
Title of host publication2024 IEEE Applied Power Electronics Conference and Exposition, APEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1800-1804
Number of pages5
ISBN (Electronic)9798350316643
DOIs
StatePublished - 2024
Externally publishedYes
Event39th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2024 - Long Beach, United States
Duration: 25 Feb 202429 Feb 2024

Publication series

NameConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
ISSN (Print)1048-2334

Conference

Conference39th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2024
Country/TerritoryUnited States
CityLong Beach
Period25/02/2429/02/24

Keywords

  • battery management system (BMS)
  • internal temperature of battery
  • state-of-charge estimation

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