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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Previous articles were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
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Article

Identification of EV use patterns, based on large scale EV monitoring data

1
Vrije Universiteit Brussel , Pleinlaan 2 – B-1050 Brussels
2
Universiteit Gent, Sint-Pietersnieuwstraat 25 - B-9000 Ghent
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2013, 6(1), 230-240; https://doi.org/10.3390/wevj6010230
Published: 29 March 2013

Abstract

This paper presents a methodology to analyse electric vehicle (EV) monitoring data to identify use patterns. The methodology is applied to the monitored data of a fleet of electric vehicles and plug-in hybrid vehicles (PHEV). The methodology introduces a link of the travel behaviour and characterisation with the range of the electric vehicle. To identify use patterns a number of indicators are defined: reset points, extra range potential, daily distance driven, average distance between reset points and maximum distance between two reset points. These indicators are calculated on monitored data of EVs, and the first results and observations are presented.
Keywords: BEV(battery electric vehicle); mobility; range BEV(battery electric vehicle); mobility; range

Share and Cite

MDPI and ACS Style

De Cauwer, C.; Gillis, D.; Coosemans, T.; Van Mierlo, J. Identification of EV use patterns, based on large scale EV monitoring data. World Electr. Veh. J. 2013, 6, 230-240. https://doi.org/10.3390/wevj6010230

AMA Style

De Cauwer C, Gillis D, Coosemans T, Van Mierlo J. Identification of EV use patterns, based on large scale EV monitoring data. World Electric Vehicle Journal. 2013; 6(1):230-240. https://doi.org/10.3390/wevj6010230

Chicago/Turabian Style

De Cauwer, C., D. Gillis, T. Coosemans, and J. Van Mierlo. 2013. "Identification of EV use patterns, based on large scale EV monitoring data" World Electric Vehicle Journal 6, no. 1: 230-240. https://doi.org/10.3390/wevj6010230

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