Estimation of state of charge of lithium-ion batteries usedin HEV using robust extended kalman filtering
Estimation of state of charge of lithium-ion batteries usedin HEV using robust extended kalman filtering
A robust extended Kalman filter (EKF) is proposed as a method for estimation of the state of charge (SOC) of lithium-ion batteries used in hybrid electric vehicles (HEVs). An equivalent circuit model of the battery, including its electromotive force (EMF) hysteresis characteristics and polarization characteristics is used. The effect of the robust EKF gain coefficient on SOC estimation is analyzed, and an optimized gain coefficient is determined to restrain battery terminal voltage from fluctuating. Experimental and simulation results are presented. SOC estimates using the standard EKF are compared with the proposed robust EKF algorithm to demonstrate the accuracy and precision of the latter
for SOC estimation.
1098-1115
Zhang, C.P.
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jiang, J.
0386a615-0f81-4824-a5a1-dea2b2735a4a
Zhang, W.
1c80d4f2-4ba8-41f6-85a6-a76a4d65dc9b
Sharkh, S.M.
c8445516-dafe-41c2-b7e8-c21e295e56b9
2012
Zhang, C.P.
b31ce4c0-283b-426c-ba3f-dd3b1da32a5d
jiang, J.
0386a615-0f81-4824-a5a1-dea2b2735a4a
Zhang, W.
1c80d4f2-4ba8-41f6-85a6-a76a4d65dc9b
Sharkh, S.M.
c8445516-dafe-41c2-b7e8-c21e295e56b9
Zhang, C.P., jiang, J., Zhang, W. and Sharkh, S.M.
(2012)
Estimation of state of charge of lithium-ion batteries usedin HEV using robust extended kalman filtering.
Energies, 5, .
(doi:10.3390/en5041098).
Abstract
A robust extended Kalman filter (EKF) is proposed as a method for estimation of the state of charge (SOC) of lithium-ion batteries used in hybrid electric vehicles (HEVs). An equivalent circuit model of the battery, including its electromotive force (EMF) hysteresis characteristics and polarization characteristics is used. The effect of the robust EKF gain coefficient on SOC estimation is analyzed, and an optimized gain coefficient is determined to restrain battery terminal voltage from fluctuating. Experimental and simulation results are presented. SOC estimates using the standard EKF are compared with the proposed robust EKF algorithm to demonstrate the accuracy and precision of the latter
for SOC estimation.
Text
2012_-_Zhang_and_Sharkh_et_al_-_Robust_EKF_SOC_estimation_-_energies_volume_5_pp_1098-1115.pdf
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Published date: 2012
Organisations:
Mechatronics
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Local EPrints ID: 343763
URI: http://eprints.soton.ac.uk/id/eprint/343763
ISSN: 1996-1073
PURE UUID: bc3244fb-cb74-4a2a-95a4-490aebd09c81
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Date deposited: 09 Oct 2012 16:32
Last modified: 15 Mar 2024 02:48
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Author:
C.P. Zhang
Author:
J. jiang
Author:
W. Zhang
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