Applying stochastic methods for range prediction in E-mobility

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.

Control strategy to improve EV range by exploiting hybrid storage units

“…Consequently, these vehicle ranges are also the most important issue related to the range anxiety phenomenon [1]. In order to limit range anxiety, vehicle range estimation has been studied [2][3][4][5][6][7].…”