Shift control method for dual-clutch automatic transmission based on shift control law

Abstract

A method for shifting control of a dual-clutch automatic transmission based on a shift control law, comprising the following steps: 1) The vehicle performs a shift test to collect shift test data, and establishes the ideal shift of the vehicle under different driving conditions through neural network regression training The knowledge base of the mapping relationship between the clutch target torque and the corresponding clutch reference speed under the state; 2) During the driving process of the vehicle, the vehicle driving data is collected in real time, and the K-means clustering algorithm is used to identify the current driving condition of the vehicle. From step 1 ) in the mapping relationship knowledge base described in ) to obtain the clutch target torque and the corresponding clutch reference speed of the vehicle under the ideal shift state of the current driving condition; 3) according to the clutch actual speed and the ideal shift state of the clutch With reference to the difference in rotational speed, the automatic transmission control unit of the vehicle performs adaptive compensation on the target torque of the clutch to make the difference zero and realize the optimal shifting state of the vehicle.

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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