Dual clutch transmission (DCT) shifting control method based on shifting control rule

Abstract

The invention discloses a dual clutch transmission (DCT) shifting control method based on a shifting control rule. The DCT shifting control method comprises the steps of 1), carrying out shifting tests on a vehicle and collecting the shifting test data, and establishing a mapping relation knowledge base of target torque of a clutch and corresponding reference rotating speed of the clutch in idealshifting states under different running conditions of the vehicle through neural network regression training; 2), acquiring running data of the vehicle in real time during the running of the vehicle,identifying the current running condition of the vehicle by adopting a K-means clustering algorithm, and acquiring the target torque of the clutch and the corresponding reference rotating speed of theclutch of the vehicle in the ideal shifting state of the current running condition from the mapping relation knowledge base established in the step 1); and 3), according to the difference value of the actual rotating speed, collected in real time, of the clutch and the reference rotating speed of the clutch in the ideal shifting state, carrying out self-adaptive compensation on the target torqueof the clutch by an automatic gearbox control unit of the vehicle so that the difference value is zero and the optimal shifting state of the vehicle is achieved.

Description

technical field [0001] The invention relates to the field of automatic transmission control, in particular to a shift control method of a double-clutch automatic transmission based on a shift control rule. Background technique [0002] Dual Clutch Transmissions (DCT) is efficient and comfortable to shift gears, and has a huge market prospect. The shift control module is an important part of the DCT system, but the DCT lacks a buffer component similar to a torque converter, and it is difficult to effectively suppress the slipping work and impact during the shifting process. In the gear shifting stage, in order to realize the multi-objective optimization of the friction work and impact, and ensure the comfort of gear shifting and the service life of the clutch, it is necessary to coordinate the clutch torque control. At present, the research on the shifting process mainly involves the recognition of the driver's shifting intention, the shifting strategy under different drivin...

AI Technical Summary

Problems solved by technology

At present, the research on the control of DCT shifting process mainly adopts the method based on dynamic modeling. However, DCT has highly nonlinear and system time-varying characteristics, and it is difficult to establish an accurate model. Therefore, there are always discrepancies between the control results and the actual situation. Small deviations, especially as the DCT's service time becomes longer, its system parameters may change greatly

To sum up, the control method based on the dynamic model can never achieve the best shift performance of DCT, and in the actual control, it needs to invest a lot of manpower and material resources to calibrate the parameters of the controller

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