| In order to solve the problem that the shift ing time of the vehicle equipped with Automated Manual Transmission is too long and the gear shifting impulsion is too large, a longitudinal dynamic model of the vehicl e is established by using the physical modeling method. Based on the coordinated control of AMT drive system, this paper designs a AMT shifting control strategy, and carries out the simulation and experiment of the control strategy. This paper has carried out and completed the following research work:1. multi-domain physical modeling methods is used to build the automotive driveline longitudinal dynamics model. In the modeling of AMT system, the traditional modeling methods are complicated, and the model i s not easy to debug, it is very difficult to establish a precise mathematical model of AMT. The physical model established model readability is excellent, but also to ensure the high modeling efficiency. To simplify the modeling process to shorten the deve lopment cycle, based on the Simulink/Simscape platform established the AMT vehicle transmission system model. At the same time, in order to meet the requirements of modeling accuracy of automotive transmission system, the model of the engine, clutch and ot her modules in Simulink/Simscape is expanded by importing the experimental data.2. An AMT shifting control strategy is developed. Shifting process of the AMT is analyzed, using timing control to ensure each assembly components reasonable and orderly implementation of the action shift. In the gear selecting and shifting based on the Fuzzy PID control to adjust the engine speed. During the separation and combination processes of the clutch, the engine torque should be controlled. The simulation and experimental results show that the control strategy can guarantee the smooth shift of the AMT, effectively reduce the shifting time.3. Modeling and analysis is carried out on the AMT, in order to assuage the long gear shifting time problem of the AMT. Based on the theory of sliding mode control, gear shifting dynamic sliding model control is initiated, which is applied in the position track of gear shifting mechanism. Both the sim ulation and experimental results reveal that compared to the general PID controller and sliding model controller, dynamic sliding model controller has faster response, better robust, higher track accuracy, which improve the shifting quality of electrical AMT.4. Gear shifting based on the physical model was simulated and validated in the vehicle. Based on the Control Base_MT platform, with CAN-bus technology to calibrate the control and debugging, the AMT shifting process of normal operation was achieved. Through comparison and analysis of the simulation and experime ntal results, verified the AMT shifting control algorithm of the validity and reliability of physical model. |