Power-cycle-library-based control strategy for plug-in hybrid electric vehicles Shams-Zahraei, M. and Kouzani, A. Z. 2010, Power-cycle-library-based control strategy for plug-in hybrid electric vehicles, in IEEE VPPC 2010 : Proceedings of the 2010 IEEE Vehicle Power and Propulsion Conference : Clean Tech for Transportation, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/VPPC.2010.5729240. Attached Files Name Description MIMEType Size Downloads kouzani-powercycle-2010.pdf Published version application/pdf 323.31KB 252 Title Power-cycle-library-based control strategy for plug-in hybrid electric vehicles Author(s) Shams-Zahraei, M. Kouzani, A. Z. orcid.org/0000-0002-6292-1214 Conference name Vehicle Power and Propulsion Conference (2010 : Lille, France) Conference location Lille, France Conference dates 1-3 Sep. 2010 Title of proceedings IEEE VPPC 2010 : Proceedings of the 2010 IEEE Vehicle Power and Propulsion Conference : Clean Tech for Transportation Editor(s) [Unknown] Publication date 2010 Conference series Vehicle Power and Propulsion Conference Start page 1 End page 6 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) power cycle library control Plug-in Hybrid Electric Vehicle Summary It has been demonstrated that considering the knowledge of drive cycle as a priori in the PHEV control strategy can improve its performance. The concept of power cycle instead of drive cycle is introduced to consider the effect of noise factors in the prediction of future drivetrain power demand. To minimize the effect of noise factors, a practical solution for developing a power-cycle library is introduced. A control strategy is developed using the predicted power cycle which inherently improves the optimal operation of engine and consequently improves the vehicle performance. Since the control strategy is formed exclusively for each PHEV rather than a preset strategy which is designed by OEM, the effect of different environmental and geographic conditions, driver behavior, aging of battery and other components are considered for each PHEV. Simulation results show that the control strategy based on the driver library of power cycle would improve both vehicle performance and battery health. ISBN 9781424482191 1424482194 Language eng DOI 10.1109/VPPC.2010.5729240 Field of Research 090602 Control Systems, Robotics and Automation 090205 Hybrid Vehicles and Powertrains Socio Economic Objective 850702 Energy Conservation and Efficiency in Transport HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication HERDC collection year 2010 Copyright notice ©2010, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30032524 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering Open Access Collection Related Links Link Description Connect to published version (restricted access) 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. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 03 Feb 2011, 22:51:14 EST Mon, 28 Mar 2011, 12:37:27 EST Mon, 28 Mar 2011, 12:38:38 EST Wed, 30 Mar 2011, 09:02:07 EST Fri, 06 May 2011, 13:25:35 EST Fri, 06 May 2011, 13:55:18 EST Fri, 06 May 2011, 13:56:17 EST Fri, 06 May 2011, 14:07:37 EST Fri, 06 May 2011, 14:13:56 EST Fri, 06 May 2011, 14:15:39 EST Wed, 11 May 2011, 11:22:08 EST Thu, 02 Jun 2011, 12:22:51 EST Fri, 03 Jun 2011, 09:55:09 EST Wed, 15 Jun 2011, 21:03:15 EST Thu, 16 Jun 2011, 09:30:44 EST Thu, 16 Jun 2011, 09:32:08 EST Thu, 16 Jun 2011, 09:34:04 EST Thu, 16 Jun 2011, 09:35:24 EST Thu, 16 Jun 2011, 09:36:56 EST Fri, 17 Jun 2011, 08:44:48 EST Fri, 16 Mar 2012, 18:34:30 EST Thu, 12 Sep 2013, 12:32:20 EST Mon, 23 Sep 2013, 09:31:23 EST Wed, 02 Jul 2014, 15:11:43 EST Wed, 21 Oct 2015, 13:55:30 EST Tue, 06 Sep 2016, 16:23:24 EST Tue, 05 Dec 2017, 10:46:33 EST Fri, 07 Sep 2018, 15:15:24 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 769 Abstract Views, 258 File Downloads  -  Detailed Statistics Created: Thu, 03 Feb 2011, 22:51:09 EST by Abbas Kouzani