DocumentCode :
3669392
Title :
Applying stochastic methods for range prediction in E-mobility
Author :
Kai Gebhardt;Volkmar Schau;Wilhelm R. Rossak
Author_Institution :
Dept of Mathematics and Computer Science Friedrich-Schiller-Universitat Jena Jena, Germany
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
In a time where environmental protection is a big topic, use of electric vehicles is steadily increasing. Many people have reservations to use this new technology because of the limited range of electric vehicle. The range is influenced by many parameters like velocity, ramp, weight and so on. In respect of such facts prediction of range is a very important but difficult topic. One thinkable solution is to model the electric vehicle by using physical properties. Such approaches are restricted to a specific vehicle type and it is not possible to transfer the solution without a good deal of work. In this paper, we present a new approach, which is not restricted to vehicle types, by using statistical methods.
Keywords :
"Mathematical model","Electric vehicles","Energy loss","Batteries","Prediction algorithms","Energy consumption"
Publisher :
ieee
Conference_Titel :
Innovations for Community Services (I4CS), 2015 15th International Conference on
Print_ISBN :
978-1-4673-7327-2
Type :
conf
DOI :
10.1109/I4CS.2015.7294483
Filename :
7294483
Link To Document :
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