Optimization of Tremblay's battery model parameters for plug-in hybrid electric vehicle applications

Zhang, Y, Lyden, S, de la Barra, BA León and Haque, Md Enamul 2018, Optimization of Tremblay's battery model parameters for plug-in hybrid electric vehicle applications, in AUPEC 2017 : Smart power grids int he 21st century : Proceedings of the Australasian Universities Power Engineering Conference 2017, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-6, doi: 10.1109/AUPEC.2017.8282405.

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Title Optimization of Tremblay's battery model parameters for plug-in hybrid electric vehicle applications
Author(s) Zhang, Y
Lyden, S
de la Barra, BA León
Haque, Md EnamulORCID iD for Haque, Md Enamul orcid.org/0000-0002-8893-2181
Conference name IEEE Power & Energy Society. Conference (2017 : Melbourne, Vic.)
Conference location Melbourne, Vic.
Conference dates 2017/11/19 - 2017/11/22
Title of proceedings AUPEC 2017 : Smart power grids int he 21st century : Proceedings of the Australasian Universities Power Engineering Conference 2017
Editor(s) [Unknown]
Publication date 2018
Series IEEE Power & Energy Society Conference
Start page 1
End page 6
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) engineering
Tremblay's battery model
parameter identification
genetic algorithm
particle swarm optimization
quantum-behaved particle swarm optimization
ISBN 978-1-5386-2647-4
ISSN 2474-1507
Language eng
DOI 10.1109/AUPEC.2017.8282405
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106950

Document type: Conference Paper
Collection: School of Engineering
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