Title :
Analysis of the main factors influencing the energy consumption of electric vehicles
Author :
Younes, Zoulficar ; Boudet, Laurence ; Suard, Frederic ; Gerard, Maze ; Rioux, Roland
Author_Institution :
Inf., Models & Machine Learning Lab., CEA, Gif-sur-Yvette, France
Abstract :
Electric vehicles are currently a held of research with many challenges that raise the interest of many researchers. The major challenge is about the autonomy of electric vehicles, which is limited as compared to that of conventional vehicles, and thus the drivers´ anxiety about reaching or not the desired destination is very important. In this paper, we propose an experimental study to understand the energy consumption of electric vehicles, and we investigate some factors that have an important impact on their autonomy, such as the route type, the driving style and the ambient temperature. This study can be very useful in a further step to conceive a driving assistance system that indicates in real time the remaining energy and gives online instructions to reach the next charging station or the final destination. The analysis reported in this paper is based on real-world data collected using a full electric car with different driving conditions.
Keywords :
automobiles; electric vehicles; energy consumption; ambient temperature; charging station; driver anxiety; driving assistance system; driving style; electric vehicle autonomy; energy consumption; full electric car; online instructions; route type; Acceleration; Batteries; Cities and towns; Electric vehicles; Energy consumption; Roads; Ambient temperature; driving style; electric vehicles; energy consumption; route type;
Conference_Titel :
Electric Machines & Drives Conference (IEMDC), 2013 IEEE International
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-4975-8
Electronic_ISBN :
978-1-4673-4973-4
DOI :
10.1109/IEMDC.2013.6556260