NDLI: Routing systems to extend the driving range of electric vehicles

Content Provider	IET Digital Library
Author	Neaimeh, Myriam Hill, Graeme A. Hübner, Yvonne Blythe, Phil T.
Abstract	This study develops a more accurate range prediction for electric vehicles (EVs) resulting in a routing system that could extend the driving range of EVs through calculating the minimum energy route to a destination, based on topography and traffic conditions of the road network. Energy expenditure of EVs under different conditions is derived using high-resolution real-world data from the SwitchEV trial. The SwitchEV trial has recorded the second-by-second driving events of 44 all-electric vehicles covering a distance of over 400 000 miles across the North East of England, between March 2010 and May 2013. Linear models are used to determine the energy expenditure equations and Dijkstra's graph search algorithm is used to find the route minimising energy consumption. The results from this study are being used to better inform the decisions of the smart navigation and eco-driving assist systems in EVs, thus improving the intelligent transport systems provisions for EV drivers. The outputs of the research are twofold: providing more accurate estimations of available range and supporting drivers’ optimisation of energy consumption and as a result extending their driving range. Both outputs could help mitigate range anxiety and make EVs a more attractive proposition to potential customers.
Starting Page	327
Ending Page	336
Page Count	10
ISSN	1751956X
Volume Number	7
e-ISSN	17519578
Issue Number	Issue 3, Sep (2013)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/7/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2013.0122
Journal	IET Intelligent Transport Systems
Publisher	The Institution of Engineering and Technology
Access Restriction	Open
Rights License	Creative Commons Attribution-No Derivs License (http://creativecommons.org/licenses/by-nd/3.0/)
Subject Keyword	Battery Drain Combinatorial Mathematics Dijkstra Graph Search Algorithm Driver Optimisation Eco-driving Assist System Electric Vehicle Electric Vehicle Routing System Energy Consumption Energy Expenditure Equation Energy Regeneration EV Driving Range Global Positioning System Graph Theory High-resolution Real-world Data Intelligent Transport System Linear Model Optimisation Technique Range Anxiety Mitigation Road Network Topography Road Traffic Search Problem Smart Navigation SwitchEV Trial System Theory Application in Transportation Time-stamp Traffic Condition Vehicle Routing
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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