Intelligent energy management for plug-in hybrid electric vehicles : the role of ITS infrastructure in vehicle electrification

Marano, V., Rizzoni, G., Tulpule, P., Gong, Q. and Khayyam, H. 2012, Intelligent energy management for plug-in hybrid electric vehicles : the role of ITS infrastructure in vehicle electrification, Oil and gas science and technology, vol. 67, no. 4, pp. 575-587.

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Title Intelligent energy management for plug-in hybrid electric vehicles : the role of ITS infrastructure in vehicle electrification
Author(s) Marano, V.
Rizzoni, G.
Tulpule, P.
Gong, Q.
Khayyam, H.
Journal name Oil and gas science and technology
Volume number 67
Issue number 4
Start page 575
End page 587
Total pages 13
Publisher Editions Technip
Place of publication Paris, France
Publication date 2012-08
ISSN 1294-4475
Keyword(s) carbon emissions
transportation sources
propulsion technologies
hybrid
battery
electric vehicle
energy management controller
Summary The desire to reduce carbon emissions due to transportation sources has led over the past decade to the development of new propulsion technologies, focused on vehicle electrification (including hybrid, plug-in hybrid and battery electric vehicles). These propulsion technologies, along with advances in telecommunication and computing power, have the potential of making passenger and commercial vehicles more energy efficient and environment friendly. In particular, energy management algorithms are an integral part of plug-in vehicles and are very important for achieving the performance benefits. The optimal performance of energy management algorithms depends strongly on the ability to forecast energy demand from the vehicle. Information available about environment (temperature, humidity, wind, road grade, etc.) and traffic (traffic density, traffic lights, etc.), is very important in operating a vehicle at optimal efficiency. This article outlines some current technologies that can help achieving this optimum efficiency goal. In addition to information available from telematic and geographical information systems, knowledge of projected vehicle charging demand on the power grid is necessary to build an intelligent energy management controller for future plug-in hybrid and electric vehicles. The impact of charging millions of vehicles from the power grid could be significant, in the form of increased loading of power plants, transmission and distribution lines, emissions and economics (information are given and discussed for the US case). Therefore, this effect should be considered in an intelligent way by controlling/scheduling the charging through a communication based distributed control.
Language eng
Field of Research 090205 Hybrid Vehicles and Powertrains
090607 Power and Energy Systems Engineering (excl Renewable Power)
090699 Electrical and Electronic Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2012, IFP Energies nouvelles
Persistent URL http://hdl.handle.net/10536/DRO/DU:30047896

Document type: Journal Article
Collection: School of Information Technology
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