Impact of current rate and temperature on state-of-charge estimation of Li-ion batteries based on the extended Kalman filter

James Issac, Jiangchao Qin, Maryam Saeedifard, Oleg Wasynczuk

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

1 Scopus citations

Abstract

Accurate battery models and precise calculation of the battery state-of-charge (SOC) are necessary for maximizing battery performance, realizing safe operation, and extending the operating range of hybrid electric and plug-in hybrid vehicles. In this paper, by taking various temperatures and charging/discharging current rates into consideration, a comprehensive battery model is developed in which the parameters are extracted based on experimental data. Furthermore, an online SOC estimation method based on the developed model and the Extended Kaiman Filter (EKF) is proposed. The accuracies of the battery model and the SOC estimation method at various temperatures and current rates are evaluated and validated based on a set of simulation and experimental studies.

Original languageEnglish (US)
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3122-3128
Number of pages7
ISBN (Electronic)9781479940325
DOIs
StatePublished - Feb 24 2014

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Keywords

  • battery modeling
  • battery state-of-charge (SOC)
  • hybrid vehicles

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Issac, J., Qin, J., Saeedifard, M., & Wasynczuk, O. (2014). Impact of current rate and temperature on state-of-charge estimation of Li-ion batteries based on the extended Kalman filter. In IECON Proceedings (Industrial Electronics Conference) (pp. 3122-3128). [7048956] (IECON Proceedings (Industrial Electronics Conference)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2014.7048956