Electric automobile permanent magnet synchronous motor fault diagnosis system and method based on cloud computing

Abstract

The invention discloses an electric automobile permanent magnet synchronous motor (PMSM) fault diagnosis system and method based on cloud computing. The system comprises a PMSM, a motor controller connected with the PMSM, a vehicle control unit connected with the motor controller, a GPS onboard terminal connected with the vehicle control unit, and a cloud computing platform connected with the GPS onboard terminal via a wireless communication network, wherein a diagnosis module for fault diagnosis and a memory for storing diagnosis data are integrated into the cloud computing platform. The system sends the information of the PMSM to a cloud end in real time by means of the motor controller, the vehicle control unit, and the GPS onboard terminal, achieves fast diagnosis and response speed, may store fault information at the cloud end so as to query historical information. The cloud end is easy to upgrade. The system prevents dedicated hardware equipment, is low in cost, may diagnose normal faults of the PMSM, and is universal.

Description

technical field [0001] The invention belongs to the field of motor fault diagnosis, and in particular relates to a cloud computing-based electric vehicle permanent magnet synchronous motor fault diagnosis system and a fault diagnosis method thereof. Background technique [0002] The permanent magnet synchronous motor has the advantages of small size, high power density, small moment of inertia, fast torque response, and large output torque, so it has been widely used in the field of electric vehicles. However, the working condition of the motor is harsh, the vibration is severe, and the working environment temperature is high, and it is prone to faults such as inter-turn short circuit, rotor eccentricity, and permanent magnet demagnetization, which seriously affect the safety of the vehicle. It is necessary to diagnose the motor fault in real time and analyze the fault information. to store. [0003] The existing permanent magnet synchronous motor fault diagnosis equipment ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a cloud computing-based electric vehicle permanent magnet synchronous motor fault diagnosis system and its fault diagnosis method, which solves the problem of high cost of existing permanent magnet synchronous motor fault diagnosis equipment, difficulty in upgrading software and hardware, and single function , poor versatility and other issues

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