Benjamin B. Krogh
ABSTRACT
The electric vehicle (EV) is an interesting vehicle type that can reduce the dependence on fossil fuels, e.g., by using electricity from wind turbines. A significant disadvantage of EVs is a very limited range, typically less than 200 km. This paper compares EVs to conventional vehicles (CVs) for private transportation using two very large data sets. The EV data set is collected from 164 vehicles (126 million rows) and the CV data set from 447 vehicles (206 million rows). Both data sets are collected in Denmark throughout 2012, with a logging frequency of 1 Hz. By comparing the two data sets, we observe that EVs are significantly slower on motorways, faster in cities, and drive shorter distances compared to CVs.
- M. Ehsani, Y. Gao and A. Emadi, Modern electric, hybrid electric, and fuel cell vehicles: fundamentals, theory, and design, 2009.Google Scholar
- Driving Today, "Hybrid Electric Vehicles," {Online}. Available: www.drivingtoday.com/features/archive/hybrid_electrics/index.html. {Accessed 11 June 2014}.Google Scholar
- Mitsubishi Motors Corporation, "About i MiEV," {Online}. Available: http://www.mitsubishi-motors.com/special/ev/whatis/index.html. {Accessed 5 May 2014}.Google Scholar
- Mitsubishi Motors UK, "Technology, Mitsubishi i-MiEV," {Online}. Available: http://www.mitsubishi-cars.co.uk/imiev/technology.aspx. {Accessed 12 June 2014}.Google Scholar
- CLEVER, "Projekt Test-en-elbil," CLEVER, {Online}, Available: testenelbil.dk. {Accessed 1 May 2014}.Google Scholar
- "ITS Platform," {Online}. Available: http://www.itsplatform.eu/. {Accessed 6 May 2014}.Google Scholar
- OpenStreetMap, 2014. {Online}. Available: www.openstreetmap.org. {Accessed 24 March 2014}.Google Scholar
- P. Newson and J. Krumm, "Hidden Markov map matching through noise and sparseness," ACM SIGSPAHAL GIS, pp. 336--343, 2009. Google ScholarDigital Library
- Misubishi Motors Corporation, "Air-conditioning System for Electric Vehicles (i-MiEV)," {Online}. Available: http://www.sae.org/events/aars/presentations/2010/W2.pdf. {Accessed 20 May 2014}.Google Scholar
- T. Franke and J. F. Krems, "Interacting with limited mobility resources: Psychological range levels in electric vehicle use," Transportation Research Part A pp. 109--122, 2013.Google Scholar
- M. Baum, J. Dibbelt, T. Pajor and D. Wagner, "Energy-Optimal Routes for Electric Vehicles," ACM SIGSPAHAL GIS, pp. 54--61, 2013. Google ScholarDigital Library
- A. Artmeier, J. Haselmayer, M. Leucker and M. Sachenbacher, "The Shortest Path Problem Revisited: Optimal Routing for Electric Vehicles," KI 2010: Advances in Artificial Intelligence, pp. 309--316, 2010. Google ScholarDigital Library
Index Terms
- Electric and conventional vehicle driving patterns
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