Electric vehicle assistant based on driver profile

This paper presents the outcomes of a research work consisting of the development of an electric vehicle assistant (EVA), which creates and stores a driver profile that contains the driving behaviours related to the EV energy consumption, the EV battery charging information and the performed routes. This is an application for mobile devices that are able to passively track the driver behaviour and to access several items of information related to the EV in real time. The paper also proposes a range prediction approach based on probability to take into account unpredictable effects of personal driving style, traffic or weather.