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Peak power estimation of traction battery pack used in HEVs

Peak power estimation of traction battery pack used in HEVs
Peak power estimation of traction battery pack used in HEVs
Battery peak power capability estimation has an important theoretical significance and utility value for proper use of a battery and to help extend its lifetime. It is an important part of a battery management system. The paper presents an algorithm for estimating the dynamic peak power capability of a battery pack. The algorithm is based on a dynamic battery model taking into consideration constraints of rated, current, voltage and state of charge. The suitability of alternative equivalent circuit models for lithium-ion batteries was also analyzed. It is shown that using Thevenin’s model, the estimation algorithm could compute the dynamic battery peak power in real-time and could provide real-time estimates of the charged and discharged power in an electric vehicle so that the battery may be used within its safe operating limits.
Zhang, C.P.
b31ce4c0-283b-426c-ba3f-dd3b1da32a5d
Sharkh, S.M.
c8445516-dafe-41c2-b7e8-c21e295e56b9
Zhang, C.P.
b31ce4c0-283b-426c-ba3f-dd3b1da32a5d
Sharkh, S.M.
c8445516-dafe-41c2-b7e8-c21e295e56b9

Zhang, C.P. and Sharkh, S.M. (2010) Peak power estimation of traction battery pack used in HEVs. Asia-Pacific Power and Energy Engineering Conference(APPEEC 2010), Beijing, China. 01 Mar 2010.

Record type: Conference or Workshop Item (Paper)

Abstract

Battery peak power capability estimation has an important theoretical significance and utility value for proper use of a battery and to help extend its lifetime. It is an important part of a battery management system. The paper presents an algorithm for estimating the dynamic peak power capability of a battery pack. The algorithm is based on a dynamic battery model taking into consideration constraints of rated, current, voltage and state of charge. The suitability of alternative equivalent circuit models for lithium-ion batteries was also analyzed. It is shown that using Thevenin’s model, the estimation algorithm could compute the dynamic battery peak power in real-time and could provide real-time estimates of the charged and discharged power in an electric vehicle so that the battery may be used within its safe operating limits.

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More information

Published date: 1 March 2010
Venue - Dates: Asia-Pacific Power and Energy Engineering Conference(APPEEC 2010), Beijing, China, 2010-03-01 - 2010-03-01

Identifiers

Local EPrints ID: 73538
URI: http://eprints.soton.ac.uk/id/eprint/73538
PURE UUID: cb45cc84-c21e-49d1-b6c1-c699ad23a69b
ORCID for S.M. Sharkh: ORCID iD orcid.org/0000-0001-7335-8503

Catalogue record

Date deposited: 18 Mar 2010
Last modified: 14 Mar 2024 02:38

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Contributors

Author: C.P. Zhang
Author: S.M. Sharkh ORCID iD

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