Modeling and simulation of an energy management system for plug-in hybrid electric vehicles

Rahman, SA; Zhang, N; Zhu, J

Modeling and simulation of an energy management system for plug-in hybrid electric vehicles

Rahman, SA Zhang, N

Zhu, J

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Publication Type:: Conference Proceeding
Citation:: 2008 Australasian Universities Power Engineering Conference, AUPEC 2008, 2008
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Rahman, SA	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	2008 Australasian Universities Power Engineering Conference, AUPEC 2008, 2008	en_US
dc.identifier.isbn	9781424441624	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. © 2008 Australasian Universities Power Engineering Conference (AUPEC'08).	en_US
dc.relation.ispartof	2008 Australasian Universities Power Engineering Conference, AUPEC 2008	en_US
dc.title	Modeling and simulation of an energy management system for plug-in hybrid electric vehicles	en_US
dc.type	Conference Proceeding
utslib.for	0902 Automotive Engineering	en_US
dc.location.activity	Sydney, Australia	en_US
pubs.embargo.period	Not known	en_US
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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

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. © 2008 Australasian Universities Power Engineering Conference (AUPEC'08).

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http://hdl.handle.net/10453/11959