Regenerative braking has been demonstrated as an effective way in prolonging the mileages of electric vehicle (EV). In this paper, we aim to examine a generic research problem on how to better utilise the regenerative braking for energy efficiency when routing EV. To this end, we consider a Markov decision process (MDP) based model with 4 distinct reward functions to plan the paths for the EV to traverse a hilly landscape. The results show that by using net energy used as the reward function, the most energy-efficient path can be found. In addition, taking proactive detours can be an energy-efficient way to either avoid excessive energy consumption or prompt energy regeneration.


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    Titel :

    The Impact of Regenerative Braking in Electric Vehicles to Energy-efficient Routing Performance


    Beteiligte:
    Bi, Xiaowen (Autor:in) / Wang, Jing V. (Autor:in) / Cheng, Chi-Tsun (Autor:in) / Chung, Edward (Autor:in)


    Erscheinungsdatum :

    04.11.2023


    Format / Umfang :

    1309876 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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