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


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    Titel :

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


    Beteiligte:
    Houshmand, Arian (Autor:in) / Cassandras, Christos G. (Autor:in) / Zhou, Nan (Autor:in) / Hashemi, Nasser (Autor:in) / Li, Boqi (Autor:in) / Peng, Huei (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.08.2022


    Format / Umfang :

    7440481 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Eco-Routing of Plug-In Hybrid Electric Vehicles in Transportation Networks

    Houshmand, Arian / Cassandras, Christos G. | IEEE | 2018


    Eco-routing for Plug-in Hybrid Electric Vehicles

    Li, Boqi / Xu, Shaobing / Peng, Huei | IEEE | 2020


    Optimal Routing for Plug-In Hybrid Electric Vehicles

    Nejad, Mark M. / Mashayekhy, Lena / Grosu, Daniel et al. | British Library Online Contents | 2017



    POWER TRAIN AND METHOD FOR PLUG-IN HYBRID ELECTRIC VEHICLE

    PARK YEONG IL / KIM JIN SEONG | Europäisches Patentamt | 2019

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