Due to sustainability push around the world, lot of depot operators are transitioning their vehicle fleet to electric vehicles. A depot often comprises of hundreds of diesel-powered vehicles, such as buses, trucks, last-mile delivery vans, etc. Before depot owners begin the move to sustainable transportation, there are many questions that need to be addressed. What kind of vehicle and charging infrastructure are needed. How to reduce the capital investment and daily operational cost. This paper proposes a methodology for optimal transition of fleet to electric vehicles. Dispatching and charging are the two sub-problems that make up the main issue. The method of mixed integer linear programming has been used to create two distinct algorithms. In order to maximize the use of electric vehicles, dispatch optimizes the vehicle to route mapping, which also optimizes the vehicle infrastructure. Its charge schedules are developed based on the vehicle route mapping and provided as input to the charging algorithm. Where power requirement is optimized for minimum depot peak power and charging cost, thus minimizing the charging infrastructure and daily operational cost.


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    Titel :

    Optimal Transition of Fleets to Electric Vehicle using Mathematical Optimization


    Beteiligte:
    Kumar, Abhay (Autor:in) / Nagar, Deepak (Autor:in) / Ramanath, Vinay (Autor:in) / Subbaiah, Smaran B.G (Autor:in)


    Erscheinungsdatum :

    2023-12-12


    Format / Umfang :

    299895 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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