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. Attached Files Name Description MIMEType Size Downloads 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 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 9781538626474 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 Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 19 Mar 2018, 23:12:33 EST Mon, 19 Mar 2018, 23:13:17 EST Tue, 20 Mar 2018, 04:01:19 EST Sat, 05 May 2018, 06:05:42 EST Tue, 08 May 2018, 15:21:31 EST Tue, 08 May 2018, 15:23:49 EST Tue, 08 May 2018, 15:24:57 EST Sat, 18 Aug 2018, 02:31:59 EST Filtered Full Citation counts:   Cited 10 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 270 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Mon, 19 Mar 2018, 23:13:17 EST

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