The invention discloses a parameter recognition method for a permanent magnet synchronous motor of an electric vehicle. The method comprises the steps of judging whether the permanent magnet synchronous motor of the electric vehicle needs parameter recognition or not; when parameter recognition needs to be carried out, injecting a low-frequency small-amplitude sinusoidal current signal into quadrature-axis expected current of the permanent magnet synchronous motor, and automatically adjusting the quadrature-axis expected current, direct-axis expected current, quadrature-axis voltage and direct-axis voltage by an adjuster; the rotating speed and position signals of the permanent magnet synchronous motor are measured through a rotating speed sensor, three-phase current of the permanent magnet synchronous motor is collected through a current sensor and converted into direct-axis feedback current and quadrature-axis feedback current, and data are transmitted to a parameter recognition linkin real time; and performing parameter recognition on the permanent magnet synchronous motor through the parameter recognition link until the parameters converge. According to the method, parameter recognition can be carried out under any operation state of the motor, the control requirements of the permanent magnet synchronous motors with different structures can be well met, the identified parameters are accurate, and the application range is wide.

Parameter recognition method for permanent magnet synchronous motor of electric vehicle

The invention discloses a permanent magnet synchronous motor parameter acquisition method based on operating data. The method mainly comprises the steps of algorithm initialization, iterative computation, convergence judgment, result output and the like, and motor parameters are rapidly and efficiently acquired by analyzing and mining the operating data such as motor current, voltage, rotation angle, rotation speed and the like. The method does not need complex circuit and magnetic circuit analysis, does not depend on a specific detection instrument, and is strong in operability and high in execution efficiency; and the method is not limited by operation conditions and application scenes and is high in applicability. In addition, the method performs mining and analysis on the motor operation data, and improves the information utilization rate.

Permanent magnet synchronous motor parameter acquisition method based on operation data

The invention discloses a clock synchronization compensation method based on a local weighted least square method. The method comprises the following steps: firstly, obtaining deviation between each synchronization node and a global clock through a clock synchronization algorithm; fitting a clock compensation function by using a local weighted least square method, and predicting a compensation value of each synchronization node in the next synchronization period; and finally, by adjusting the rate of the clock, completing the advanced compensation of the clock error in the next synchronizationperiod, and entering the next clock synchronization process until the communication is completed. According to the method, the problems of time backflow and fast forward caused by a direct compensation method in the clock compensation process are solved, and the fitting precision of the least square method is improved by adopting a local weighting mode, so that the clock synchronization precisionis improved.

Clock synchronization compensation method based on local weighted least square method

The invention discloses a parameter identification method for permanent magnet synchronous motors based on a least square method. The method specifically comprises the following steps: measuring the parameters of a permanent magnet synchronous motor under a first stable on-load condition and obtaining the corresponding parameters under a rotating coordinate system; by starting from the time t=0, measuring the parameters of the permanent magnet synchronous motor online at a preset time interval T under a second stable on-load condition and obtaining the corresponding parameters under the rotating coordinate system; using a first derivation matrix, a second derivation matrix, a first intermediate matrix and a second intermediate matrix of the least square method to solve the solution matrixof the least square method at the kth time (i.e. at the time kT); and calculating the flux weakening control parameter values of the permanent magnet synchronous motor at the kth time (i.e. at the time kT) according to the corresponding parameter values of the solution matrix of the least square method at the kth time (i.e. at the time kT), so as to maximize the output of the permanent magnet synchronous motor.

Parameter identification method for permanent magnet synchronous motors based on least square method

The invention discloses a motor rotor broken bar fault detection method and system based on a fusion correlation spectrum. The method comprises the steps: collecting a first stator current signal anda first vibration signal of a to-be-recognized diagnosis motor in a preset time interval in real time, and carrying out Hilbert transform of the first stator current signal and the first vibration signal so as to obtain a stator current modulus signal and a vibration modulus signal; filtering direct-current components in the stator current modulus signal and the vibration modulus signal to obtaina second stator current signal and a second vibration signal, and performing fusion correlation spectrum analysis on the second stator current signal and the second vibration signal to obtain a fusioncorrelation spectrogram; and judging whether the motor has a broken bar fault or not by utilizing the obtained fusion correlation spectrogram, and judging that the motor rotor has a broken bar faultat present if the fusion correlation spectrogram has 2sf0 and a fault component spectral peak of frequency multiplication of the 2sf0, wherein s is a slip ratio of the motor, and f0 is a fundamental frequency.

Motor rotor broken bar fault detection method and system based on fusion correlation spectrum

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Parameter identification method for permanent magnet synchronous motors based on least square method

Motor rotor broken bar fault detection method and system based on fusion correlation spectrum