Hybrid electric vehicles (HEV) combine both a powerful engine and the ability to reduce fuel consumption through an electric machine by intelligent control of a complex drive train. The driving strategy controls the speed and the operating strategy controls the energy management of the HEV. Both are combined in one optimization. The result is a driver assistance system that is tuned with predictive information about the upcoming route. A novel algorithm based on dynamic programming (DP) is presented that allows real-time application by introducing heuristic model-based optimization space reductions. The main focus is on the design and dimensioning of a slim DP algorithm with the capability to find an optimal control in close real-time.


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    Titel :

    A real-time capable enhanced dynamic programming approach for predictive optimal cruise control in hybrid electric vehicles


    Beteiligte:
    Wahl, Hans-Georg (Autor:in) / Bauer, Kai-Lukas (Autor:in) / Gauterin, Frank (Autor:in) / Holzapfel, Marc (Autor:in)


    Erscheinungsdatum :

    2013-10-01


    Format / Umfang :

    465327 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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