Genetic Algorithm for UTS Plug-in Hybrid Electric Vehicle Parameter Optimization

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Show simple item record

dc.contributor.author Abdul Rahman, S
dc.contributor.author Zhang, N
dc.contributor.author Zhu, J
dc.contributor.editor Committee, CT
dc.date.accessioned 2010-05-28T10:01:13Z
dc.date.issued 2009-01
dc.identifier.citation Proceedings of the 13th Asia-Pacific Vibration Conference (APVC 09), 2009, pp. 1 - 8
dc.identifier.isbn 978-0-473-16050-0
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/11011
dc.description.abstract This paper covers modeling, energy management strategy development, genetic algorithm (GA) optimization and simulation results based on the model of the UTS plug-in hybrid electric vehicle (PHEV). The UTS PHEV configuration consists of energy storage system, electric machine (EM), power control unit and internal combustion engine. The difference between the UTS PHEV and the conventional powertrain configurations is that the existing configurations need two EMs to function as the electric generator and motor, respectively, while the UTS PHEV needs only one EM to function as either a generator or electric motor in different time intervals specified by the energy management strategy and therefore, can save space, weight and cost. Extensive research has been conducted on the modeling and comparison of the new and existing powertrain configurations. The objective of this paper is to minimize the fuel consumption and greenhouse gas emissions by optimizing the powertrain parameters. The powertrain was simulated for a standard U.S environmental protection agency drive cycle, the highway drive cycle, and the optimization was performed by using the GA.
dc.publisher University of Canterbury, Christchurch, New Zealand
dc.title Genetic Algorithm for UTS Plug-in Hybrid Electric Vehicle Parameter Optimization
dc.type Conference Proceeding
dc.parent Proceedings of the 13th Asia-Pacific Vibration Conference (APVC 09)
dc.journal.number en_US
dc.publocation New Zealand en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 8 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.conference Asia Pacific Vibration Conference
dc.for 091304 Dynamics, Vibration and Vibration Control
dc.personcode 910870
dc.personcode 950854
dc.percentage 100 en_US
dc.classification.name Dynamics, Vibration and Vibration Control en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Asia Pacific Vibration Conference en_US
dc.date.activity 20051122 en_US
dc.date.activity 2005-11-22
dc.location.activity Christchurch, New Zealand en_US
dc.description.keywords Plug-in hybrid electric vehicle, hybrid electric vehicle, energy management strategy, genetic algorithm, series-parallel en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)


Files in this item

This item appears in the following Collection(s)

Show simple item record