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We study the problem of eco-routing for Plug-In Hybrid Electric Vehicles(PHEVs) to minimize the overall energy consumption cost. We propose analgorithm which can simultaneously calculate an energy-optimal route(eco-route) for a PHEV and an optimal power-train control strategy over thisroute. In order to show the effectiveness of our method in practice, we use aHERE Maps API to apply our algorithms based on traffic data in the city ofBoston with more than 110,000 links. Moreover, we validate the performance ofour eco-routing algorithm using speed profiles collected from a trafficsimulator (SUMO) as input to a high-fidelity energy model to calculate energyconsumption costs. Our results show significant energy savings (around 12%) forPHEVs with a near real-time execution time for the algorithm.

Combined Eco-Routing and Power-Train Control of Plug-In Hybrid Electric Vehicles in Transportation Networks