Multirate strong tracking extended Kalman filter and its implementation on lithium iron phosphate (LiFePO4) battery system

J. Jia, Chen Ching, W.D. Toh, Z. Gao, H. Lyu, Y.T. Cham, Ehsan Mesbahi

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

Abstract

Lithium Iron phosphate (LiFePO4) battery has obtained extensive attention of researchers for its high energy density, little contamination and ready availability. In this paper, different numbers of RC branches in the equivalent Thevenin circuit model are explored by comparing accuracy of curve fitting with in-house experimental data. Besides, battery system with 6 cells of second order equivalent circuit is modeled using Matlab/Simscape. A multirate strong tracking extended filter (MRSTEKF) is proposed by introducing the multirate control strategy and lifting technology into strong tracking extended Kalman filter (STEKF) to improve tracking stability and estimation precision of state of charge (SOC). Root mean square error (RMSE) is exploited to evaluate the performance of the algorithms of extended Kalman filter (EKF), STEKF and MRSTEKF. Simulation results demonstrate that the proposed MRSTEKF is faster than EKF and STEKF by 55.34% and 49.51%, and is more precise by 52.66% and 33.88%.
Original languageEnglish
Title of host publication2015 IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS)
Subtitle of host publication9-12 June 2015, Sydney, Australia
Pages640-645
ISBN (Electronic)978-1-4799-4402-6
DOIs
Publication statusPublished - 2015
Externally publishedYes

Publication series

NameIEEE International Conference on Power Electronics and Drive Systems (PEDS)
PublisherIEEE
ISSN (Print)2164-5256
ISSN (Electronic)2164-5264

Fingerprint

Extended Kalman filters
Phosphates
Lithium
Iron
Equivalent circuits
Curve fitting
Mean square error
Contamination
Availability

Cite this

Jia, J., Ching, C., Toh, W. D., Gao, Z., Lyu, H., Cham, Y. T., & Mesbahi, E. (2015). Multirate strong tracking extended Kalman filter and its implementation on lithium iron phosphate (LiFePO4) battery system. In 2015 IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS): 9-12 June 2015, Sydney, Australia (pp. 640-645). (IEEE International Conference on Power Electronics and Drive Systems (PEDS)). https://doi.org/10.1109/PEDS.2015.7203572
Jia, J. ; Ching, Chen ; Toh, W.D. ; Gao, Z. ; Lyu, H. ; Cham, Y.T. ; Mesbahi, Ehsan. / Multirate strong tracking extended Kalman filter and its implementation on lithium iron phosphate (LiFePO4) battery system. 2015 IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS): 9-12 June 2015, Sydney, Australia. 2015. pp. 640-645 (IEEE International Conference on Power Electronics and Drive Systems (PEDS)).
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title = "Multirate strong tracking extended Kalman filter and its implementation on lithium iron phosphate (LiFePO4) battery system",
abstract = "Lithium Iron phosphate (LiFePO4) battery has obtained extensive attention of researchers for its high energy density, little contamination and ready availability. In this paper, different numbers of RC branches in the equivalent Thevenin circuit model are explored by comparing accuracy of curve fitting with in-house experimental data. Besides, battery system with 6 cells of second order equivalent circuit is modeled using Matlab/Simscape. A multirate strong tracking extended filter (MRSTEKF) is proposed by introducing the multirate control strategy and lifting technology into strong tracking extended Kalman filter (STEKF) to improve tracking stability and estimation precision of state of charge (SOC). Root mean square error (RMSE) is exploited to evaluate the performance of the algorithms of extended Kalman filter (EKF), STEKF and MRSTEKF. Simulation results demonstrate that the proposed MRSTEKF is faster than EKF and STEKF by 55.34{\%} and 49.51{\%}, and is more precise by 52.66{\%} and 33.88{\%}.",
author = "J. Jia and Chen Ching and W.D. Toh and Z. Gao and H. Lyu and Y.T. Cham and Ehsan Mesbahi",
note = "Published in: Power Electronics and Drive Systems (PEDS), 2015 IEEE 11th International Conference on Date of Conference: 9-12 June 2015 Page(s): 640 - 645 INSPEC Accession Number: 15382119 Conference Location : Sydney, NSW",
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Jia, J, Ching, C, Toh, WD, Gao, Z, Lyu, H, Cham, YT & Mesbahi, E 2015, Multirate strong tracking extended Kalman filter and its implementation on lithium iron phosphate (LiFePO4) battery system. in 2015 IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS): 9-12 June 2015, Sydney, Australia. IEEE International Conference on Power Electronics and Drive Systems (PEDS), pp. 640-645. https://doi.org/10.1109/PEDS.2015.7203572

Multirate strong tracking extended Kalman filter and its implementation on lithium iron phosphate (LiFePO4) battery system. / Jia, J.; Ching, Chen; Toh, W.D.; Gao, Z.; Lyu, H.; Cham, Y.T.; Mesbahi, Ehsan.

2015 IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS): 9-12 June 2015, Sydney, Australia. 2015. p. 640-645 (IEEE International Conference on Power Electronics and Drive Systems (PEDS)).

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

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T1 - Multirate strong tracking extended Kalman filter and its implementation on lithium iron phosphate (LiFePO4) battery system

AU - Jia, J.

AU - Ching, Chen

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AU - Lyu, H.

AU - Cham, Y.T.

AU - Mesbahi, Ehsan

N1 - Published in: Power Electronics and Drive Systems (PEDS), 2015 IEEE 11th International Conference on Date of Conference: 9-12 June 2015 Page(s): 640 - 645 INSPEC Accession Number: 15382119 Conference Location : Sydney, NSW

PY - 2015

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N2 - Lithium Iron phosphate (LiFePO4) battery has obtained extensive attention of researchers for its high energy density, little contamination and ready availability. In this paper, different numbers of RC branches in the equivalent Thevenin circuit model are explored by comparing accuracy of curve fitting with in-house experimental data. Besides, battery system with 6 cells of second order equivalent circuit is modeled using Matlab/Simscape. A multirate strong tracking extended filter (MRSTEKF) is proposed by introducing the multirate control strategy and lifting technology into strong tracking extended Kalman filter (STEKF) to improve tracking stability and estimation precision of state of charge (SOC). Root mean square error (RMSE) is exploited to evaluate the performance of the algorithms of extended Kalman filter (EKF), STEKF and MRSTEKF. Simulation results demonstrate that the proposed MRSTEKF is faster than EKF and STEKF by 55.34% and 49.51%, and is more precise by 52.66% and 33.88%.

AB - Lithium Iron phosphate (LiFePO4) battery has obtained extensive attention of researchers for its high energy density, little contamination and ready availability. In this paper, different numbers of RC branches in the equivalent Thevenin circuit model are explored by comparing accuracy of curve fitting with in-house experimental data. Besides, battery system with 6 cells of second order equivalent circuit is modeled using Matlab/Simscape. A multirate strong tracking extended filter (MRSTEKF) is proposed by introducing the multirate control strategy and lifting technology into strong tracking extended Kalman filter (STEKF) to improve tracking stability and estimation precision of state of charge (SOC). Root mean square error (RMSE) is exploited to evaluate the performance of the algorithms of extended Kalman filter (EKF), STEKF and MRSTEKF. Simulation results demonstrate that the proposed MRSTEKF is faster than EKF and STEKF by 55.34% and 49.51%, and is more precise by 52.66% and 33.88%.

U2 - 10.1109/PEDS.2015.7203572

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M3 - Conference contribution

SN - 978­1­4799­4403­3

T3 - IEEE International Conference on Power Electronics and Drive Systems (PEDS)

SP - 640

EP - 645

BT - 2015 IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS)

ER -

Jia J, Ching C, Toh WD, Gao Z, Lyu H, Cham YT et al. Multirate strong tracking extended Kalman filter and its implementation on lithium iron phosphate (LiFePO4) battery system. In 2015 IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS): 9-12 June 2015, Sydney, Australia. 2015. p. 640-645. (IEEE International Conference on Power Electronics and Drive Systems (PEDS)). https://doi.org/10.1109/PEDS.2015.7203572