This research presents an aerodynamic drag analysis of an autonomous battery electric truck (BET) by means of using computational fluid dynamics (CFD) as a simulation tool. The CFD simulation utilises the Reynolds-averaged Navier–Stokes (RANS) equations with a realizable k-𝜀 turbulence model and non-equilibrium wall functions to model the near-wall region of the domain. The simulation accuracy is validated against empirical results for the aerodynamic drag on the generic conventional model (GCM) truck, as tested in a wind tunnel. It was found that the overall aerodynamic drag of the vehicle could be reduced by approximately 35.5% without reducing the truck’s trailer loading volume. This work demonstrates that autonomous BETs can significantly reduce the overall aerodynamic drag of a truck, thereby reducing energy consumption and greenhouse gas (GHG) emissions for the land freight sector.


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    Titel :

    Aerodynamic Analysis of Autonomous Battery Electric Truck Concepts for Drag Reduction


    Beteiligte:
    Kameel Anirood (Autor:in) / Ali Rugbani (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





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