Next Article in Journal
New York State EV Charging Station Deployment
Previous Article in Journal
Hybrid Electric Vehicles for Sustainable Transportation: A Canadian Perspective
Article Menu

Article Versions

Export Article

World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue 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.
Open AccessArticle

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
PDF [1047 KB, uploaded 17 May 2018]

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
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
World Electr. Veh. J. EISSN 2032-6653 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top