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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2016-01-01


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    DRIVETRAIN WITH INFINITELY AND ELECTRICALLY VARIABLE TRANSMISSION CAPABILITIES

    DAVID JEFFREY M / MILLER TRAVIS J / DAVIS MARK A | European Patent Office | 2025

    Free access

    DRIVETRAIN WITH INFINITELY AND ELECTRICALLY VARIABLE TRANSMISSION CAPABILITIES

    DAVID JEFFREY M / MILLER TRAVIS J / DAVIS MARK A | European Patent Office | 2024

    Free access

    Technology briefing: drivetrain

    Kimberley,W. / Valeo,FR / Zahnradfabrik Friedrichshafen,ZF,DE et al. | Automotive engineering | 2003


    Torsional Vibration Attenuation of HEV Drivetrain Featuring on a Controllable Damper

    Liu, Shaofei / Cheng, Shibo / Bai, Xianxu et al. | SAE Technical Papers | 2023


    Integrated optical functionalities featuring bi-periodic photonic crystals

    Jafarpour, A. / Adibi, A. / Xu, Y. et al. | IEEE | 2005