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The ongoing trend towards electro mobility is radically changing automotive industry. However, the limited battery electric range and the resulting restrictions on personal mobility present a major customer concern that must be tackled by car manufacturers. Especially on longer trips, the time required for charging stops is troublesome. This research presents an approach that combines data on road, traffic and available charging infrastructure for a desired route to plan a time optimal trip for an electric vehicle. For this purpose, charging decisions, charging times and intentional speed reduction on highways are the degrees of freedom for the optimization. The underlying vehicle and consumption model was validated in a previous study and used to formulate a mixed integer linear program which minimizes the estimated consumption. Within an elaborate simulative study, the optimization results are compared to a heuristic baseline strategy which indicates reasonable computation time and significant reduction of the resulting trip time on trips that exceed the range of the considered vehicle.
Morlock et al. (Sat,) studied this question.