Self-learning method of anti-pinch parameters of electric car window

Abstract

The invention relates to a self-learning method of an anti-pinch parameter of an electric car window. The self-learning method comprises the following steps: starting a car window up button after a car window controller is electrified, an interrupting unit regularly sends interrupt request signals to a current collector and a Hall counter, respectively, and the interrupting unit stops working until the car window controller is power down; a judging unit judges whether the movement process of the car window form a reasonable learning process; the car window controller self-learns the motor current and the car window height in the reasonable learning process to obtain a current threshold and the car window height; storing the self-learnt current threshold and the car window height; clearing a mark from the car window to the bottom after storing the data for one time, zero setting the numerical value of the Hall counter after the car window stops at the bottom, setting the self-learnt parameter as a preset value, regularly interrupting the car window in the operation process of the car window to obtain a new current sampling value and a new car window height, comparing the new current sampling value and the new car window height with the preset value, and judging the movement state of the car window; and self-learning the parameter and judging the state of the car window in real time according to new parameter in the continuous movement process of the car window.

Description

technical field [0001] The invention relates to the field of intelligent electronic control of automobile windows, in particular to a self-learning method for anti-pinch parameters of electric windows. Background technique [0002] At present, the existing anti-pinch electric window design generally only needs to consider the linear relationship between the current of the lift motor and the magnitude of the external force on the window glass, and the anti-pinch function only needs to be activated during the lifting process. Therefore, the window anti-pinch controller detects the magnitude of the lifting motor current when the window glass is raised, and when the current exceeds the current threshold set in advance through experimental measurement, it is considered that the motor is blocked and the window has encountered an obstacle; Then use the Hall counter to read the value of the Hall sensor to determine the position of the window glass relative to the window frame (windo...

AI Technical Summary

Problems solved by technology

However, considering the changes in temperature and humidity caused by different seasons, the aging of the friction strips brought about by the use of the windows, the wear of the mechanical structure of the windows, and the bumps of the vehicle on uneven roads, these factors will It has a considerable impact on the operation of the window, making the preset anti-pinch parameters no longer applicable, resulting in poor anti-pinch effect or even failure

[0003] It can be seen that the realization of the anti-pinch function of the existing anti-pinch vehicle window has no detection function to environmental changes, and lacks the update of the anti-pinch parameters during use to adapt to different situations. Stability will decline. When the window system is affected by various influences due to lack of adaptation to the environment, there may be situations such as increased resistance to rise, changes in mechanical dimensions, and changes in the gap between connecting parts. After continuing to use the previous parameters, There may be a malfunction of the non-clamping and automatic retraction of the window during rising, or the window continues to go up without retracting after clamping, and the motor does not stop when it reaches the upper and lower dead centers, resulting in component damage

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