The present invention provides an artificial intelligence-based system for management of electric vehicles fleet. The system receives live data and historical data feeds from charging stations, fleet telematics, meteorological services, traffic management, mobile application, fleet dashboard, renewable source of energy, battery energy storage system, and the electric utility grid. The system utilizes machine learning algorithms to predict energy usage and optimize the charging schedule of electric vehicle. The system uses real time data to generate electric vehicle trip condition training feature for predicting the remaining driving range. The system predicts the vehicle's arrival time at the charging station based on telematics data of each vehicle collected from the fleet management system.


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    Title :

    SYSTEM AND METHOD FOR SMART CHARGING MANAGEMENT OF ELECTRIC VEHICLE FLEETS


    Contributors:
    MANGAL VANDANA (author) / CHU CHI-CHENG (author) / JIANG YIJING (author) / LU WEI (author) / YUAN WEIHENG (author) / RAMACHANDRAN JAHNVI (author) / NAMBA LIAM (author)

    Publication date :

    2022-12-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen



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