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    Modular machine-learning based system for predicting vehicle energy consumption during a trip
    1.
    发明授权
    Modular machine-learning based system for predicting vehicle energy consumption during a trip 有权

    公开(公告)号：US12085399B2

    公开(公告)日：2024-09-10

    申请号：US17590019

    申请日：2022-02-01

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Vladimir Suplin ,  Klaus Trangbaek ,  Daniel Urieli

    IPC: G01C21/34 ,  G01C21/36

    CPC classification number: G01C21/3469 ,  G01C21/3484 ,  G01C21/3691

    Abstract: A system for predicting energy consumption by a vehicle during a trip has a controller adapted to receive a route plan for the trip. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The system has a plurality of machine learning modules, including a behavior predictor, a driving consumption predictor and an auxiliary consumption predictor. The controller is adapted to predict a total energy consumed by the vehicle during the trip by executing the plurality of machine learning modules. The driving consumption predictor is adapted to predict a primary energy consumed for propelling the vehicle based in part on the route plan. The auxiliary consumption predictor is adapted to predict a secondary energy consumed by the vehicle for non-propulsion purposes. The behavior predictor is adapted to predict an average vehicle speed based at least partially on traffic conditions.

    MODULAR MACHINE-LEARNING BASED SYSTEM FOR PREDICTING VEHICLE ENERGY CONSUMPTION DURING A TRIP
    3.
    发明公开
    MODULAR MACHINE-LEARNING BASED SYSTEM FOR PREDICTING VEHICLE ENERGY CONSUMPTION DURING A TRIP 审中-公开

    公开(公告)号：US20230243662A1

    公开(公告)日：2023-08-03

    申请号：US17590019

    申请日：2022-02-01

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Vladimir Suplin ,  Klaus Trangbaek ,  Daniel Urieli

    IPC: G01C21/34 ,  G01C21/36

    CPC classification number: G01C21/3469 ,  G01C21/3484 ,  G01C21/3691

    Abstract: A system for predicting energy consumption by a vehicle during a trip has a controller adapted to receive a route plan for the trip. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The system has a plurality of machine learning modules, including a behavior predictor, a driving consumption predictor and an auxiliary consumption predictor. The controller is adapted to predict a total energy consumed by the vehicle during the trip by executing the plurality of machine learning modules. The driving consumption predictor is adapted to predict a primary energy consumed for propelling the vehicle based in part on the route plan. The auxiliary consumption predictor is adapted to predict a secondary energy consumed by the vehicle for non-propulsion purposes. The behavior predictor is adapted to predict an average vehicle speed based at least partially on traffic conditions.

    ADAPTIVE IN-DRIVE UPDATING OF VEHICLE ENERGY CONSUMPTION PREDICTION
    5.
    发明公开
    ADAPTIVE IN-DRIVE UPDATING OF VEHICLE ENERGY CONSUMPTION PREDICTION 审中-公开

    公开(公告)号：US20230258464A1

    公开(公告)日：2023-08-17

    申请号：US17672806

    申请日：2022-02-16

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Klaus Trangbaek ,  Vladimir Suplin ,  Daniel Urieli

    IPC: G01C21/34 ,  B60W40/105 ,  B60W20/20

    CPC classification number: G01C21/3469 ,  G01C21/3461 ,  B60W40/105 ,  B60W20/20 ,  B60W2510/081 ,  B60W2510/085

    Abstract: A system for adaptive in-drive updating, for a vehicle travelling on a route, includes a controller adapted to obtain a pre-drive energy consumption prediction for the route, via an energy consumption predictor. An in-drive updating module is selectively executable by the controller at a timepoint during the route at which a completed portion of the route has been traversed and a remaining portion remains untraversed. The controller is adapted to obtain an actual energy consumption for segments in the completed portion of the route. The controller is adapted to obtain at least one modification factor based on a comparison of the actual energy consumption and the pre-drive energy consumption prediction for the segments in the completed portion of the route. The pre-drive energy consumption prediction for the remaining portion of the route is adjusted based on the modification factor.

    NON-LINEAR STIFFNESS ACTUATOR FOR VEHICLE SUSPENSION
    6.
    发明申请
    NON-LINEAR STIFFNESS ACTUATOR FOR VEHICLE SUSPENSION 审中-公开

    公开(公告)号：US20190118604A1

    公开(公告)日：2019-04-25

    申请号：US15790595

    申请日：2017-10-23

    Applicant: GM Global Technology Operations LLC

    Inventor： Vladimir Suplin ,  Avshalom Suissa ,  Klaus Trangbaek

    IPC: B60G17/015 ,  B60G17/06 ,  B60G15/04

    CPC classification number: B60G17/0152 ,  B60G15/04 ,  B60G17/06 ,  B60G2202/12 ,  B60G2202/135 ,  B60G2202/25 ,  B60G2500/10 ,  F16F1/00

    Abstract: A non-linear stiffness actuator for a suspension corner employed in a vehicle includes an actuator housing and an actuator shaft configured to transmit an actuator force to the road wheel. The actuator also includes a primary elastic member assembly arranged between the actuator housing and the actuator shaft and configured to exert a primary elastic member force along the actuator shaft. The actuator additionally includes a secondary elastic member assembly configured to exert a variable secondary elastic member force acting between the actuator housing and the actuator shaft. The variable secondary elastic member force is configured to selectively contribute to and subtract from the primary elastic member force to thereby facilitate the non-linear stiffness of the actuator. A vehicle having such a non-linear stiffness actuator is also provided.

    Adaptive in-drive updating of vehicle energy consumption prediction
    9.
    发明授权
    Adaptive in-drive updating of vehicle energy consumption prediction 有权

    公开(公告)号：US11867521B2

    公开(公告)日：2024-01-09

    申请号：US17672806

    申请日：2022-02-16

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Klaus Trangbaek ,  Vladimir Suplin ,  Daniel Urieli

    IPC: G01C21/34 ,  B60W20/20 ,  B60W40/105

    CPC classification number: G01C21/3469 ,  B60W20/20 ,  B60W40/105 ,  G01C21/3461 ,  B60W2510/081 ,  B60W2510/085

    Abstract: A system for adaptive in-drive updating, for a vehicle travelling on a route, includes a controller adapted to obtain a pre-drive energy consumption prediction for the route, via an energy consumption predictor. An in-drive updating module is selectively executable by the controller at a timepoint during the route at which a completed portion of the route has been traversed and a remaining portion remains untraversed. The controller is adapted to obtain an actual energy consumption for segments in the completed portion of the route. The controller is adapted to obtain at least one modification factor based on a comparison of the actual energy consumption and the pre-drive energy consumption prediction for the segments in the completed portion of the route. The pre-drive energy consumption prediction for the remaining portion of the route is adjusted based on the modification factor.

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