The main motivation of this thesis is to reduce range anxiety (particularly for long-distance trips) by providing accurate and reliable navigation information to drivers of battery electric vehicles. In this context, a navigation system is not only intended to recommend routes, but also to suggest where the battery electric vehicle should be charged and how much energy should be charged. This kind of information is here denoted as ”charging strategy“. A charging strategy can be understood similarly to a pit strategy in Formula One. For its construction, basically two objectives are pursued: First and foremost, the given instructions have to ensure a reliable arrival, i.e., the risk of running out of energy has to be kept very low. Second, the total travel time and along with it the number and duration of charging stops has to be kept low. In the thesis, an optimization model is developed which allows computing such charging strategies. The focus is in this context set on provided reliable charging strategies also under the existence of uncertainties, which can be caused, for example, by imperfect traffic predictions.    «

The main motivation of this thesis is to reduce range anxiety (particularly for long-distance trips) by providing accurate and reliable navigation information to drivers of battery electric vehicles. In this context, a navigation system is not only intended to recommend routes, but also to suggest where the battery electric vehicle should be charged and how much energy should be charged. This kind of information is here denoted as ”charging strategy“. A charging strategy can be understood simila...    »