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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2022-08-01


    Size :

    7440481 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    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


    Plug‐in Hybrid Electric Vehicles

    Mi, Chris / Masrur, M. Abul / Gao, David Wenzhong | Wiley | 2011