Abstract With the introduction of electrified drive-trains and autonomous driving features, the requirements for electronic systems in vehicles have rapidly become more and more demanding. In order to face these complex requirement scenarios, a paradigm shift from closed-loop-controlled to truly self-deciding and self-learning automata is strongly needed. In this paper, a novel concept for drive-train platforms enabling self-learning capabilities based on sensor integration, micro and power electronics and secure cloud communication directly integrated into the electric motor will be introduced.


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    Titel :

    Next Generation Drivetrain Concept Featuring Self-learning Capabilities Enabled by Extended Information Technology Functionalities


    Beteiligte:
    Otto, Alexander (Autor:in) / Rzepka, Sven (Autor:in)


    Erscheinungsdatum :

    01.01.2016


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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