Electric vehicle motor positive and negative code learning method

Abstract

The invention discloses an electric vehicle motor positive and negative code learning method. The method comprises the following steps: judging a driving phase sequence and a detection phase sequencein a three-phase full-bridge circuit through a three-phase Hall sensor; injecting current through the driving phase sequence and the detection phase sequence until the stator magnetic field is saturated, and monitoring the change of the bus current of the electric vehicle; if the electric vehicle bus current when the drive phase sequence injection current is saturated to the stator magnetic fieldis smaller than the electric vehicle bus current when the detection phase sequence injection current is saturated to the stator magnetic field, the motor being a positive code motor; and if the electric vehicle bus current from the driving phase sequence injection current to the stator magnetic field saturation is greater than the electric vehicle bus current from the detection phase sequence injection current to the stator magnetic field saturation, the motor being an anti-code motor. According to the invention, whether the motor is the positive code motor or the negative code motor can be automatically learned and obtained at the initial stage of power-on, and after the motor is replaced, whether the replaced motor is the positive code motor or the negative code motor can be known without other operations, so that the electric vehicle is prevented from entering an error state during theft prevention and slope sliding prevention and is convenient to use.

Description

technical field [0001] The invention belongs to the technical field of motors, and in particular relates to a method for learning forward and reverse codes of electric vehicle motors. Background technique [0002] Due to the different winding of the stator coil of the motor, it will appear that when the winding is clockwise, it is a positive code motor, and when the winding is counterclockwise, it is a negative code motor. If the positive and negative codes 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 technology of learning positive and negative codes on the market is still in the stage of elevating the car and letting the motor rotate to high-speed learning. 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 currently no good method. This patent provides a new learning me...

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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