Self-learning method and device of hybrid electric vehicle and clutch of hybrid electric vehicle

Abstract

The invention provides a self-learning method and a self-learning device of a hybrid electric vehicle and a clutch of the hybrid electric vehicle, which can automatically finish self-learning of a key position of the clutch so as to simplify an adjusting process. The self-learning method comprises the following steps: judging whether a self-learning condition is met or not; if so, controlling the clutch to be separated and combined; recording positions where the clutch is completely separated, is completely combined and starts to slide and wear, and taking the positions as a complete separation point, a complete combination point and a sliding and wearing point. The self-learning device comprises a position sensor which is in signal connection with a controller, wherein the controller is provided with a judging module for judging whether the self-learning condition is met or not, and controlling the separation and combination of the clutch when the self-learning condition is met, so that the self-learning of the complete separation point, the complete combination point and the sliding and wearing point are realized; the position sensor is used for detecting the position of the clutch and transmitting position information to the controller; the controller is provided with a storage module for storing the position information.

Description

technical field [0001] The invention relates to the technical field of clutches, in particular to a hybrid electric vehicle and a self-learning method and a self-learning device for a clutch thereof. Background technique [0002] During the use of parallel hybrid electric vehicles, as the number of separation and engagement of the clutch increases, the clutch friction plate will gradually wear out, causing changes in the key positions of the clutch, such as changes in the positions of the separation point, engagement point, and slipping point. In particular, it is easy to cause the clutch to be incompletely engaged, and then the torque cannot be fully transmitted. [0003] For most MT (Manual Transmission, that is, manual transmission), in the prior art, a method of mechanically adjusting the clutch pedal is usually adopted to solve the above-mentioned technical problems. Taking the hydraulic clutch as an example, the specific adjustment method is: loosen the lock nut at th...

AI Technical Summary

Problems solved by technology

The above method is cumbersome to adjust, and the adjustment accuracy is not high, and it cannot adapt well to the change of the key position of the clutch.

More importantly, there are human factors in the mechanical adjustment. If the position adjustment is inaccurate, it will cause an impact when the clutch is engaged or increase the friction process, which will cause a large amount of heat to be generated by the clutch friction plate in a short time, thus speeding up the wear and tear of the clutch. damage

[0005] For the traditional AMT (that is, mechanical automatic transmission), electronically controlled self-learning is mostly used. This process requires professionals to operate, and the operation of the electronically controlled self-learning process is cumbersome. In order to accurately determine its key position, repeated calibration is required, which wastes a lot of time. time; and due to the difference of the controller, it may be necessary to re-download the file after repeated calibration, which brings a lot of trouble to customers and staff

Images