Modeling and Simulation of an Energy Management System for Plug-in Hybrid Electric Vehicles

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dc.contributor.author Abdul Rahman, S
dc.contributor.author Zhang, N
dc.contributor.author Zhu, J
dc.contributor.editor Phung Toan
dc.date.accessioned 2010-06-16T05:00:24Z
dc.date.issued 2008-01
dc.identifier.citation Proceedings of the Australasian Universities Power Engineering Conference. AUPEC 2008, 2008, pp. 1 - 6
dc.identifier.isbn 978-1-4244-4162-4
dc.identifier.other E1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/11959
dc.description.abstract This paper presents modeling, control strategy and simulation results of an energy management strategy (EMS) for a specific plug-in hybrid electric vehicle (PHEV). A good control strategy is required among components, such as the energy storage system, an electric motor, a power control unit, and an internal combustion engine in order to ensure that the vehicle achieve an improvement in energy efficiency, reduction in emissions, fuel use, weight and cost. In this work, firstly, through a power flow analysis, the vehicle components are sized to meet the expected power and energy requirements of a typical 5- passenger car. Then, the model is tested numerically in the MATLAB/SIMULINK environment using the highway fuel economy test drive cycle with the proposed EMS. The accuracy of the model is verified by a comparison between the simulation results from a specific PHEV code and advanced vehicle simulator (ADVISOR) hybrid electric vehicle (HEV) model. The simulation results of the two different HEV models are compared and the pros and cons discussed.
dc.publisher IEEE
dc.subject electrical engineering computing , energy management systems , hybrid electric vehicles , load flow
dc.subject electrical engineering computing , energy management systems , hybrid electric vehicles , load flow
dc.title Modeling and Simulation of an Energy Management System for Plug-in Hybrid Electric Vehicles
dc.type Conference Proceeding
dc.parent Proceedings of the Australasian Universities Power Engineering Conference. AUPEC 2008
dc.journal.number en_US
dc.publocation Piscataway, USA en_US
dc.publocation Piscataway, USA
dc.identifier.startpage 1 en_US
dc.identifier.endpage 6 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.conference Australasian Universities Power Engineering Conference
dc.for 0902 Automotive Engineering
dc.personcode 10736585 en_US
dc.personcode 950854 en_US
dc.personcode 910870 en_US
dc.percentage 100 en_US
dc.classification.name Other Technology en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Australasian Universities Power Engineering Conference en_US
dc.date.activity 20081214 en_US
dc.date.activity 2008-12-14
dc.location.activity Sydney, Australia en_US
dc.location.activity Sydney, Australia
dc.description.keywords electrical engineering computing , energy management systems , hybrid electric vehicles , load flow en_US
dc.description.keywords electrical engineering computing , energy management systems , hybrid electric vehicles , load flow
dc.staffid en_US
dc.staffid 910870 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


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