Self-learning method for double-clutch automatic gearbox shifting fork shifting force

Abstract

The invention provides a self-learning method for double-clutch automatic gearbox shifting fork shifting force. The method comprises the steps that when the self-learning condition is met, gear shifting is conducted with default shifting force, and whether gear pre-engagement can be achieved or not is judged; if gear pre-engagement can be achieved through the default shifting force, the default shifting force is decreased by a first preset value, gear shifting is conducted again, and if gear pre-engagement can still be achieved, the operation that the default shifting force is decreased by the first preset value is repeatedly executed, until gear pre-engagement fails; and the last shifting force before failure of gear pre-engagement times a set safety coefficient to serve as new default shifting force, and self-learning is completed. The method can reduce noise caused by abrasion to a gear-shifting shifting fork, and the service life can be prolonged.

Description

technical field [0001] The invention relates to the field of gearbox control, in particular to a method for self-learning the shifting force of a double-clutch automatic gearbox. Background technique [0002] A typical wet dual clutch transmission consists of two coaxial nested or parallel clutches, two coaxial, inner and outer nested input shafts, two parallel output shafts, and multiple clutches arranged on the output shafts. It consists of a synchronizer device, multiple shift forks and a differential. The odd and even gear input gears of the transmission are respectively arranged on the two input shafts, through the switching of the two clutches and the actions of different synchronizers, the torque conversion and output are realized through different output shafts. [0003] specific reference figure 1 A typical dual-clutch automatic transmission has two clutches, a first clutch C1 and a second clutch C2. The inner input shaft 11 and the outer input shaft 12 are nested...

AI Technical Summary

Problems solved by technology

During the use of the shift fork, it will rub against the gear sleeve in front of the synchronizer and cause wear, which will change (increase) the entire shift stroke, so the general control software will target the shift fork The position is self-learning, but the shift force for pushing the shift fork still adopts the default value corresponding to the temperature that does not change. This default value is generally obtained through calibration, so after wear and tear, the default value If it does not change, it will increase the shifting noise and affect the service life of the shift fork and synchronizer

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