In this paper the stepwise approach to a determination of an optimal hybrid powertrain configuration is explained. In a first step, a backwarded simulation with Dynamic Programming is used to determine a number of CO2-efficient topologies. In a further step, the level of detail of the simulation models is increased using a backwarded simulation with an ECMS approach. At a least step, the results of the first steps are verified using dynamic simulation models and a (MO-) ECMS. This ensures that the number of configurations to be calculated is constantly reduced over the detailing-stages. This procedure should make it possible to handle the variety of possible hybrid topologies in the design of a powertrain while keeping the computation level low.


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    Titel :

    Model-Based Approach to Identify Optimal HEV Drivetrain Configurations using Different Operating Strategies


    Weitere Titelangaben:

    Proceedings


    Beteiligte:
    Liebl, Johannes (Herausgeber:in) / Kleisch, Ralf (Autor:in) / Günther, Felix (Autor:in) / Bargende, Michael (Autor:in)

    Erschienen in:

    Der Antrieb von morgen 2020 ; Kapitel : 10 ; 127-138


    Erscheinungsdatum :

    2021-11-28


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch




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