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

doi: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

James Issac, Jiangchao Qin, Maryam Saeedifard, Oleg Wasynczuk

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 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 language	English (US)
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3122-3128
Number of pages	7
ISBN (Electronic)	9781479940325
DOIs	https://doi.org/10.1109/IECON.2014.7048956
State	Published - Feb 24 2014

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Keywords

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

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/IECON.2014.7048956

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 IECON Proceedings (Industrial Electronics Conference) (pp. 3122-3128). Article 7048956 (IECON Proceedings (Industrial Electronics Conference)). 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 et al.
IECON Proceedings (Industrial Electronics Conference). Institute of Electrical and Electronics Engineers Inc., 2014. p. 3122-3128 7048956 (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 IECON Proceedings (Industrial Electronics Conference)., 7048956, IECON Proceedings (Industrial Electronics Conference), Institute of Electrical and Electronics Engineers Inc., pp. 3122-3128. 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 IECON Proceedings (Industrial Electronics Conference). Institute of Electrical and Electronics Engineers Inc. 2014. p. 3122-3128. 7048956. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON.2014.7048956

Issac, James ; Qin, Jiangchao ; Saeedifard, Maryam et al. / Impact of current rate and temperature on state-of-charge estimation of Li-ion batteries based on the extended Kalman filter. IECON Proceedings (Industrial Electronics Conference). Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3122-3128 (IECON Proceedings (Industrial Electronics Conference)).

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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.",

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AB - 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.

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

Abstract

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