Motor zero angle self-learning method and system of hybrid electric vehicle

Abstract

The invention provides a motor zero angle self-learning method and system of a hybrid electric vehicle, and belongs to the technical field of vehicles. The problem that existing motor zero angle calibration is high in cost is solved. The motor zero angle self-learning method of the hybrid electric vehicle comprises the following steps that an ignition switch is controlled to enter an ON gear; diagnosis equipment is connected; a whole vehicle control unit establishes communication connection with the diagnosis equipment and controls the vehicle to enter a maintenance mode; after the diagnosis equipment judges that the vehicle enters the maintenance mode successfully, corresponding operation instruction prompts including brake stepping operation are sent out; the ignition switch is controlled to enter operation of a START shift and a clutch mechanically connected with the motor is controlled to perform suction operation, so that the motor is dragged by an engine through the clutch to idle at a constant preset rotating speed; and after the motor idles for a preset time value, the motor controller establishes communication connection with the diagnosis equipment, and the motor controller controls the motor to carry out zero angle self-learning. According to the invention, the cost of motor zero angle calibration is reduced.

Description

technical field [0001] The invention belongs to the technical field of automobiles, and relates to a method and a system for self-learning the motor zero angle of a hybrid electric vehicle. Background technique [0002] As the core components of hybrid electric vehicles, the performance of the motor and motor controller determines the performance of the vehicle. The relative position of the motor rotor to the stator is a very important signal used by the motor controller to calculate the motor speed. If there is a problem with the detected position signal, the calculated motor torque and speed will be inaccurate, which will cause the motor to not be well controlled and prone to three-phase overcurrent of the motor. [0003] At present, there are two main methods to calibrate the zero angle of the motor: [0004] Method 1: the application number is CN201810457346.2, a self-learning system and method for a hybrid electric vehicle, the system includes: a vehicle controller an...

AI Technical Summary

Problems solved by technology

In summary, both methods have the problem of not being convenient and costly to calibrate the zero angle of the motor

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