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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
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 used
for 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.
1002-0470
6-12
Zhang, Caiping
e7275506-0354-4315-a41f-373f9ba5e7b2
Liu, Jiazhong
587c1111-8ebf-4095-8695-7022b4bf60cb
Sharkh, Suleiman
c8445516-dafe-41c2-b7e8-c21e295e56b9
Zhang, Chengning
75749bb7-670e-4c22-b7a6-dc5c8224221b
Zhang, Caiping
e7275506-0354-4315-a41f-373f9ba5e7b2
Liu, Jiazhong
587c1111-8ebf-4095-8695-7022b4bf60cb
Sharkh, Suleiman
c8445516-dafe-41c2-b7e8-c21e295e56b9
Zhang, Chengning
75749bb7-670e-4c22-b7a6-dc5c8224221b

Zhang, Caiping, Liu, Jiazhong, Sharkh, Suleiman and Zhang, Chengning (2010) Identification of dynamic model parameters for lithium-ion batteries used in hybrid electric vehicles. High Technology Letters, 16 (1), 6-12. (doi:10.3772/j.issn.1006-6748.2010.01.002).

Record type: Article

Abstract

This paper presents an electrical equivalent circuit model for lithium-ion batteries used
for 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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Published date: March 2010

Identifiers

Local EPrints ID: 160387
URI: http://eprints.soton.ac.uk/id/eprint/160387
ISSN: 1002-0470
PURE UUID: 535093f8-2508-4697-b5c0-bb96e7f9df1c
ORCID for Suleiman Sharkh: ORCID iD orcid.org/0000-0001-7335-8503

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Date deposited: 13 Jul 2010 16:32
Last modified: 14 Mar 2024 02:38

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Contributors

Author: Caiping Zhang
Author: Jiazhong Liu
Author: Suleiman Sharkh ORCID iD
Author: Chengning Zhang

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