ANFIS-based electric vehicle permanent magnet synchronous motor fault classification method

Abstract

The invention discloses an ANFIS-based electric vehicle permanent magnet synchronous motor fault classification method. The method comprises the following steps: faults are classified, and a training sample set is built through acquiring various fault data; and an adaptive neural fuzzy inference system is built, winding current in the fault data for various fault types in the electric vehicle permanent magnet synchronous motor serves as an input, one output is given for each fault type, a membership function for the input and the output is selected, system training target errors are set, a hybrid learning algorithm is used for training parameters of the membership function, and thus, input membership function parameters and output membership function parameters in the adaptive neural fuzzy inference system are thus determined. Through diagnosing the faults of the permanent magnet synchronous motor, experimental data are obtained, the experimental data are inputted to the adaptive neural fuzzy inference system, a diagnosis result is obtained, and a fault type is determined according to the diagnosis result, and thus, fault classification is completed. Strong-operability, high-efficiency, economic and high-accuracy diagnosis is realized.

Description

technical field [0001] The invention relates to a fault classification method, in particular to a fault classification method for permanent magnet synchronous motors of electric vehicles based on ANFIS, and belongs to the field of state detection and fault diagnosis of driving motors. Background technique [0002] The driving motor is the core equipment of electric vehicles and the source of power for vehicles. Its reliability directly affects the driving safety of electric vehicles. Compared with traditional electrically excited motors, permanent magnet synchronous motors meet the best application indicators for electric vehicle drive motors because of their high efficiency, light weight, small size, compact structure, reliable operation and low noise. The best choice for motors, not only that, but its application range is extremely wide, covering almost every field of aerospace, military industry, automobile industry, industrial and agricultural production and daily life. ...

AI Technical Summary

Problems solved by technology

[0003] The permanent magnet synchronous motor for driving electric vehicles is a new type of motor. Its operating environment is complex, frequent starting, acceleration and deceleration, emergency braking, continuous high-speed operation, and bumps and vibrations, etc., are not conducive to the safe operation of the motor. Induce stator short-circuit faults, rotor eccentric faults, rotor bearing faults, etc. in the drive motor, seriously affecting the reliability and safety of the drive motor operation

In addition, since the rotor permanent magnet replaces the field winding on the rotor, the rotor demagnetization fault is a unique fault type of permanent magnet synchronous motor

If the fault in the drive motor of the electric vehicle cannot be detected and dealt with in time, the fault will be further expanded and may cause the drive motor to stop, affecting the normal operation of the vehicle and endangering the lives of drivers and passengers

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