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

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 publicationProceedings, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3122-3128
Number of pages7
ISBN (Print)9781479940325
DOIs
StatePublished - Feb 24 2014
Externally publishedYes
Event40th Annual Conference of the IEEE Industrial Electronics Society, IECON 2014 - Dallas, United States
Duration: Oct 30 2014Nov 1 2014

Other

Other40th Annual Conference of the IEEE Industrial Electronics Society, IECON 2014
CountryUnited States
CityDallas
Period10/30/1411/1/14

Fingerprint

Extended Kalman filters
Plug-in hybrid vehicles
Temperature
Lithium-ion batteries

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

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 Proceedings, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society (pp. 3122-3128). [7048956] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2014.7048956

Impact of current rate and temperature on state-of-charge estimation of Li-ion batteries based on the extended Kalman filter. / Issac, James; Qin, Jiangchao; Saeedifard, Maryam; Wasynczuk, Oleg.

Proceedings, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3122-3128 7048956.

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

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 Proceedings, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society., 7048956, Institute of Electrical and Electronics Engineers Inc., pp. 3122-3128, 40th Annual Conference of the IEEE Industrial Electronics Society, IECON 2014, Dallas, United States, 10/30/14. https://doi.org/10.1109/IECON.2014.7048956
Issac J, Qin J, Saeedifard M, Wasynczuk O. Impact of current rate and temperature on state-of-charge estimation of Li-ion batteries based on the extended Kalman filter. In Proceedings, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3122-3128. 7048956 https://doi.org/10.1109/IECON.2014.7048956
Issac, James ; Qin, Jiangchao ; Saeedifard, Maryam ; Wasynczuk, Oleg. / Impact of current rate and temperature on state-of-charge estimation of Li-ion batteries based on the extended Kalman filter. Proceedings, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3122-3128
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