DocumentCode :
679410
Title :
Do you feel lucky? Why current range estimation methods are holding back EV adoption
Author :
Heath, Stuart ; Sant, Paul ; Allen, Ben
Author_Institution :
Inst. for Res. into Applicable Comput., Univ. of Bedfordshire, Luton, UK
fYear :
2013
fDate :
6-7 Nov. 2013
Firstpage :
1
Lastpage :
6
Abstract :
One challenge facing the adoption of electric vehicles (EVs) is the reduction of the impact of running out of fuel. An EV, with its limited charging point infrastructure and long charge times, is not seen as being as reliable as a conventional car in this respect. To make EVs more acceptable, forward-looking predictive methods of calculating range need to be developed which also take into account opportunities to conserve or harvest energy, as well as environmental factors such as terrain and weather conditions. Using a well-established EV range simulator, this paper describes scenarios showing the limitations of relying on such an approach and the potential detrimental results to both the driver and vehicle´s ability to start and complete a journey. It provides an overview of the research being undertaken by the authors to address these problems, including a description of `Electrikitty´, a road legal pure EV that will be used to gather data to verify the development of novel range estimation algorithms.
Keywords :
automobiles; battery powered vehicles; energy conservation; energy harvesting; environmental factors; estimation theory; prediction theory; EV range simulator; Electrikitty description; car; electric vehicle; energy conservation; energy harvesting; environmental factor; forward-looking predictive method; limited charging point infrastructure; range estimation method; terrain condition; weather condition; range anxiety EV battery Peukert supercapacitor;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Hybrid and Electric Vehicles Conference 2013 (HEVC 2013), IET
Conference_Location :
London
Electronic_ISBN :
978-1-84919-776-2
Type :
conf
DOI :
10.1049/cp.2013.1893
Filename :
6728813
Link To Document :
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