Eco-routing aims to find routes that minimize vehicles’energy consumption, as an alternative to minimumtime or minimum-distance routes. This paper develops a new data-driven energy consumption model for plug-in hybrid electric vehicles, and proposes an algorithm that determines both the optimal path and powertrain strategy. To evaluate the performance of the proposed model and algorithm, we develop and calibrate a simulation model of the Ann Arbor city in SUMO, and implement the eco-routing algorithm with connected and automated vehicles in simulations. The result shows that on average we can achieve an energy saving around 7%-14%, while incurring a slight increase in travel time.


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    Titel :

    Eco-routing for Plug-in Hybrid Electric Vehicles


    Beteiligte:
    Li, Boqi (Autor:in) / Xu, Shaobing (Autor:in) / Peng, Huei (Autor:in)


    Erscheinungsdatum :

    2020-09-20


    Format / Umfang :

    1751383 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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