Recently, significant advances have been made in the autonomous driving field, with vehicles capable of traveling vast areas independently. Meanwhile, the operators face several uncertainties such as volatility in charging demand, intrinsic intermittency of green energy supply, etc....Accordingly, this study proposes an integrated green transportation system based on 6G Internet of Things (IoT) and big data technology, aiming at integrating state grid, electric vehicles and renewable energy to address these concerns. Furthermore, this study analyzes the performance of the proposed system using both actual and simulation data. The numerical results justify that the suggested techniques greatly enhance the charging index of electric vehicles compared to the benchmark method.


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    Titel :

    6G Based Intelligent Charging Management for Autonomous Electric Vehicles


    Beteiligte:
    Hong, Tao (Autor:in) / Cao, Jihan (Autor:in) / Fang, Chaoqun (Autor:in) / Li, Da (Autor:in)


    Erscheinungsdatum :

    2023-07-01


    Format / Umfang :

    2021488 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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