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    ECONOMY DRIVING ADVICE SYSTEM
    1.
    发明公开
    ECONOMY DRIVING ADVICE SYSTEM 审中-公开

    公开(公告)号：US20230314151A1

    公开(公告)日：2023-10-05

    申请号：US17713476

    申请日：2022-04-05

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Daniel Urieli ,  Klaus Trangbaek ,  Vladimir Suplin ,  Omer Zerbib

    IPC: G01C21/34 ,  G07C5/02

    CPC classification number: G01C21/3469 ,  G07C5/02

    Abstract: An economy advisory system includes a circuit and a display. The circuit is configured to receive a route plan remainder of a vehicle and receive a plurality of consumption factor values of the vehicle while the vehicle traverses the route plan. The plurality of consumption factor values is controllable by a driver of the vehicle. The circuit is further configured to modify the plurality of consumption factor values based upon a plurality of modification factor values, calculate a plurality of potential range changes of the vehicle based on the route plan remainder and the plurality of consumption factor values as modified, and identify a group that has at least one of the plurality of potential range changes and a corresponding at least one of the plurality of modification factor values. The display is in communication with the circuit and is configured to present the group to the driver.

    SCHEDULING PRE-DEPARTURE CHARGING OF ELECTRIC VEHICLES
    2.
    发明申请
    SCHEDULING PRE-DEPARTURE CHARGING OF ELECTRIC VEHICLES 有权

    公开(公告)号：US20220305941A1

    公开(公告)日：2022-09-29

    申请号：US17215587

    申请日：2021-03-29

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Ariel Telpaz ,  Barak Hershkovitz ,  Nadav Baron ,  Ravid Erez ,  Boris Kabisher ,  Omer Zerbib

    IPC: B60L53/66 ,  G06N3/04 ,  H02J7/00 ,  B60H1/00

    Abstract: A computer-implemented method for scheduling pre-departure charging for electric vehicles includes predicting a user-departure time based on a first machine learning prediction model. The method further includes determining a cabin temperature to be set for the user at the user-departure time based on a second machine learning prediction model. The method further includes determining a battery-temperature to be set at the user-departure time based on a third machine learning prediction model. The method further includes determining a present charge level of a battery of the electric vehicle. The method further includes computing a charging start-time to start charging the battery based on one or more attributes of a charging station to which the electric vehicle is coupled, and based on the user-departure time, the cabin temperature, and the battery-temperature. The method further includes initiating charging the battery at the charging start-time.

    DETECTION, CHARACTERIZATION, AND PRESENTATION OF CHARGING STATIONS FOR ELECTRIC VEHICLES
    3.
    发明申请
    DETECTION, CHARACTERIZATION, AND PRESENTATION OF CHARGING STATIONS FOR ELECTRIC VEHICLES 有权

    公开(公告)号：US20220318859A1

    公开(公告)日：2022-10-06

    申请号：US17215576

    申请日：2021-03-29

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Ariel Telpaz ,  Barak Hershkovitz ,  Nadav Baron ,  Ravid Erez ,  Boris Kabisher ,  Omer Zerbib

    IPC: G06Q30/02 ,  G06N5/02

    Abstract: A system includes a memory device, and one or more processors for detection, characterization, and presentation of charging stations for electric vehicles. The processors determine that a charging station is an undocumented charging station; a documented charging station is one that is part of a dataset of known charging stations. A confidence score is computed to indicate whether the charging station is a public charging station. In response to the confidence score being greater than a first predetermined threshold, the undocumented charging station is documented as a public charging station. In response to the confidence score being lesser than the first predetermined threshold and greater than a second predetermined threshold, the undocumented charging station is added to a list of charging stations to investigate. In response to the confidence score being lesser than the second predetermined threshold, the undocumented charging station is documented as a private charging station.

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