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    BATTERY CLASSIFIER PARTITIONING AND FUSION
    12.
    发明公开
    BATTERY CLASSIFIER PARTITIONING AND FUSION 审中-公开

    公开(公告)号：US20240177056A1

    公开(公告)日：2024-05-30

    申请号：US18179630

    申请日：2023-03-07

    Applicant: GM Global Technology Operations LLC

    Inventor： Yusheng Zou ,  Ibrahim Haskara ,  Chengwu Duan ,  Bharatkumar Hegde

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: A system and method for predicting a health of a battery. The system includes a sensor and a processor. The sensor is configured to obtain a battery data indicative of a parameter of the battery. A plurality of scores for the battery data is determined, and the battery data is partitioned into a plurality of subsets for which the scores have a different behavior for each of the subsets. The processor partitions the battery data into a plurality of subsets, determines a score for each of the plurality of subsets, wherein each score is related to the health of the battery, generates an overall score from the scores from each of the subsets, and predicts the health of the battery from the overall score.

    Energy management system for an electric vehicle
    15.
    发明授权
    Energy management system for an electric vehicle 有权

    公开(公告)号：US11760155B2

    公开(公告)日：2023-09-19

    申请号：US17224392

    申请日：2021-04-07

    Applicant: GM Global Technology Operations LLC

    Inventor： Ibrahim Haskara ,  Bharatkumar Hegde ,  Chen-Fang Chang

    IPC: B60H1/00 ,  B60W10/08

    CPC classification number: B60H1/00392 ,  B60H1/00735 ,  B60W10/08 ,  B60W2520/105

    Abstract: A computer for an energy management system of an electric vehicle includes a processor. The computer further includes a memory including instructions such that the processor is programmed to determine a value function V based on a plurality of actions U in a plurality of states S. The processor is further programmed to select an action associated with a highest reward value at a current state S. The action U is an HVAC subsystem variable. The state S is a traction power drawn from a rechargeable energy storage system (RESS) to operate a traction subsystem, a base power input drawn from the RESS to operate an HVAC subsystem, a nominal reference cabin heat input set-point determined by the local HVAC processor, an acceleration of the electric vehicle, a current vehicle speed, an average vehicle speed, and a calibrated average vehicle speed estimate.

    Monitoring and diagnosing vehicle system problems using machine learning classifiers
    19.
    发明授权
    Monitoring and diagnosing vehicle system problems using machine learning classifiers 有权

    公开(公告)号：US10922906B2

    公开(公告)日：2021-02-16

    申请号：US16367827

    申请日：2019-03-28

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Yue-Yun Wang ,  Ibrahim Haskara ,  David Sun ,  Yusheng Zou ,  Shiming Duan ,  Chi-kuan Kao ,  Xiangxing Lu

    IPC: G07C5/08 ,  G06N20/00 ,  B60W50/02

    Abstract: A system for monitoring operation of a vehicle includes a processing device including an interface configured to receive measurement data from sensing devices configured to measure parameters of a vehicle system. The processing device is configured to receive measurement data from each of the plurality of sensing devices, and in response to detection of a malfunction in the vehicle, input at least a subset of the measurement data to a machine learning classifier associated with a vehicle subsystem, the classifier configured to define a class associated with normal operation of the vehicle subsystem. The processing device is also configured to determine whether the subset of the measurement data belongs to the class, and based on at least a selected amount of the subset of the measurement data being outside of the class, output a fault indication, the fault indication identifying the vehicle subsystem as having a contribution to the malfunction.

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