Prediction of energy consumption for an automatic ancillary unit regulation

The growing electrification within road traffic increases the demand for energy efficiency, especially for battery electric vehicles. In addition, they face the challenge to be suitable for daily use and to be able to compete although having a smaller vehicle range as combustion vehicles. A reliable prediction, weather you reach your desired destination with the energy available or not, is essential from the driver’s point of view. The basis for an automatic ancillary unit regulation is the exact prediction of the total required energy. In this paper, we present a model that calculates the energy demand of a battery electric vehicle for any route including the energy for propulsion and electric ancillary units. This model is tested on two example scenarios, which show the importance of taking environmental data into account while predicting the energy demand. This work builds the foundation stone for further investigations.