The reduction of Greenhouse Gases is of great interest inside the industry and, especially, the road transport sector. Heavy-duty vehicles have been extensively researched due to their significant contribution. This work presents a digital twin (LONGRUN simulation platform) to analyse different heavy-duty vehicle aerodynamic designs and powertrain topologies. Based on a forward-looking formulation, this work allows the analysis of novel hybridisation and electrification control strategies impact. We validated our platform components against a commercial tool (VECTO) adopted by the European Commission for combustion powertrain analysis. In this article, we provide a modular platform for heavy-duty vehicles, in a widely used software inside the automotive industry. Furthermore, our platform offers the possibility to introduce customised control strategies for hybrid-electric vehicles. This work analyses the impact of parallel and serial hybrid powertrain topologies.


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    Titel :

    Digital twin based simulation platform for heavy duty hybrid electric vehicles


    Beteiligte:
    Otaola, Eneko (Autor:in) / Arteta, Benat (Autor:in) / Perez, Joshue (Autor:in) / Sierra-Gonzalez, Andres (Autor:in) / Prieto, Pablo (Autor:in)


    Erscheinungsdatum :

    2023-06-01


    Format / Umfang :

    1857393 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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