A learning method for positive and negative codes of electric vehicle motors

Abstract

The invention discloses a method for learning positive and negative codes of an electric vehicle motor. The method includes: judging the driving phase sequence and detecting the phase sequence in the three-phase full-bridge circuit through the three-phase Hall sensor; respectively injecting current through the driving phase sequence and detecting the phase sequence until the stator magnetic field is saturated, and monitoring the change of the bus current of the electric vehicle ; If the bus current of the electric vehicle when the driving phase sequence injects the current to the saturation of the stator magnetic field is less than the electric vehicle bus current when the phase sequence injection current reaches the saturation of the stator magnetic field, it is a positive code motor; if the driving phase sequence injects the current to the saturation of the stator magnetic field The electric vehicle bus current is greater than the detection phase sequence injection current to the electric vehicle bus current when the stator magnetic field is saturated, which is an inverse code motor. The invention can automatically learn whether the motor is positive code motor or negative code motor at the initial stage of power-on. After replacing the motor, it can know whether the replaced motor is positive code or negative code without other operations, so as to avoid the problems of anti-theft and anti-slope of electric vehicles. Time will enter the error state, easy to use.

Description

technical field [0001] The invention belongs to the technical field of motors, and in particular relates to a method for learning positive and negative codes of an electric vehicle motor. Background technique [0002] Due to the different windings of the stator coils of the motor, there will be a positive code motor when the clockwise winding is wound, and an inverse code motor when the counterclockwise winding is wound. If the positive and negative code of the motor cannot be known in advance, it will enter an error state when the electric vehicle is anti-theft and anti-slope. [0003] At present, the learning of positive and negative code technology on the market is still at the stage of high-speed learning by placing the car overhead and turning the motor to a high speed. In response to the customer's requirement to complete the learning of the positive and negative codes after the motor is powered on and initialized, there is no good method at present. This patent provi...

AI Technical Summary

Problems solved by technology

In response to the customer's request to complete the learning of positive and negative codes after the motor is powered on and initialized, there is no good method at present. This patent provides a new learning method, and the motor can be universally matched when the car is stationary.

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