A trip energy estimation system for a vehicle includes a traffic speed module configured to determine an average traffic speed along a projected route, a path information module configured to output path information indicating route features along the projected route, a perceived speed module configured to output a perceived vehicle speed along the projected route based on the average traffic speed and the path information, and a dynamic driving module configured to calculate and output a predicted driver speed based on the perceived vehicle speed and a feedback input indicative of the predicted driver speed. The dynamic driving module is configured to execute a machine learning algorithm to calculate the predicted driver speed.


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    Titel :

    TRAFFIC-INFO-INCORPORATED NNT DRIVER MODEL FOR EV TRIP ENERGY PREDICTION


    Beteiligte:
    ZHU YONGJIE (Autor:in) / LI DONGXU (Autor:in) / WANG YUE-YUN (Autor:in) / CHANG CHEN-FANG (Autor:in) / LEE CHUNHAO J (Autor:in) / MAZZARA BRANDON D (Autor:in)

    Erscheinungsdatum :

    28.09.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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