FAULT-TOLERANT CONTROL METHOD FOR OPEN-CIRCUIT FAULT IN ALTERNATING CURRENT MOTOR AND INVERTER THEREOF

    公开(公告)号:US20240178784A1

    公开(公告)日:2024-05-30

    申请号:US18519170

    申请日:2023-11-27

    发明人: Zekun XIA Kai WANG

    摘要: The disclosure relates to the field of motor control, and more specifically, to a fault-tolerant control method and apparatus for an open-circuit fault in an alternating current motor and an inverter thereof, a computer device, and a computer storage medium. The method includes: A: determining, based on fault information of the alternating current motor and the inverter for driving the alternating current motor, a rotor fault position interval corresponding to each fault phase in one or more fault phases; B: establishing a fault-tolerant control constraint model, where the fault-tolerant control constraint model includes an open-circuit fault equation applicable to each fault phase for the corresponding rotor fault position interval; and C: determining, with the fault-tolerant control constraint model as a constraint, a phase current reference value by using a fault-tolerant control algorithm.

    VEHICLE FAULT DIAGNOSIS METHOD, DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20230410572A1

    公开(公告)日:2023-12-21

    申请号:US18320269

    申请日:2023-05-19

    发明人: Xin GONG Kai WANG

    IPC分类号: G07C5/08

    CPC分类号: G07C5/0808

    摘要: The disclosure provides a vehicle fault diagnosis method and device, and a computer-readable storage medium. The vehicle fault diagnosis method includes: receiving a grayscale image, where the grayscale image represents diagnostic data for vehicle diagnosis; extracting features from the grayscale image by using a convolutional neural network, to generate a feature map; performing self-attention-based processing on the feature map to obtain a classification result, where the classification result indicates a vehicle fault condition; and performing a relevance propagation analysis based on the classification result to obtain a contribution heat map, where the contribution heat map indicates a degree of contribution of each pixel in the grayscale image to the classification result.