Identification of dynamic model parameters for lithium-ion batteries used in hybrid electric vehicles
Identification of dynamic model parameters for lithium-ion batteries used in hybrid electric vehicles
This paper presents an electrical equivalent circuit model for lithium-ion batteries usedfor hybrid electric vehicles (HEV). The model has two RC networks characterizing battery activation and concentration polarization process. The parameters of the model are identified using combined experimental and Extended Kalman Filter (EKF) recursive methods. The open-circuit voltage and ohmic resistance of the battery are directly measured and calculated from experimental measurements, respectively. The rest of the coupled dynamic parameters, i.e. the RC network parameters, are estimated using the EKF method. Experimental and simulation results are
presented to demonstrate the efficacy of the proposed circuit model and parameter identification techniques for simulating battery dynamics
Zhang, C.P.
b31ce4c0-283b-426c-ba3f-dd3b1da32a5d
Liu, J.Z.
517a8f8f-b56f-4eeb-9adc-c15d611a2e34
Sharkh, S.M.
c8445516-dafe-41c2-b7e8-c21e295e56b9
2009
Zhang, C.P.
b31ce4c0-283b-426c-ba3f-dd3b1da32a5d
Liu, J.Z.
517a8f8f-b56f-4eeb-9adc-c15d611a2e34
Sharkh, S.M.
c8445516-dafe-41c2-b7e8-c21e295e56b9
Zhang, C.P., Liu, J.Z. and Sharkh, S.M.
(2009)
Identification of dynamic model parameters for lithium-ion batteries used in hybrid electric vehicles.
International Symposium on Electric Vehicles (ISEV), Beijing, China.
01 Sep 2009.
11 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper presents an electrical equivalent circuit model for lithium-ion batteries usedfor hybrid electric vehicles (HEV). The model has two RC networks characterizing battery activation and concentration polarization process. The parameters of the model are identified using combined experimental and Extended Kalman Filter (EKF) recursive methods. The open-circuit voltage and ohmic resistance of the battery are directly measured and calculated from experimental measurements, respectively. The rest of the coupled dynamic parameters, i.e. the RC network parameters, are estimated using the EKF method. Experimental and simulation results are
presented to demonstrate the efficacy of the proposed circuit model and parameter identification techniques for simulating battery dynamics
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Identification_of_Dynamic_Model_Parameters_for.pdf
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Published date: 2009
Venue - Dates:
International Symposium on Electric Vehicles (ISEV), Beijing, China, 2009-09-01 - 2009-09-01
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Local EPrints ID: 73265
URI: http://eprints.soton.ac.uk/id/eprint/73265
PURE UUID: e648768c-e82a-4f78-85d4-1c9b445a1ad5
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Date deposited: 04 Mar 2010
Last modified: 14 Mar 2024 02:38
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Contributors
Author:
C.P. Zhang
Author:
J.Z. Liu
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