Clutchless Shifting Control Of Small Electric Vehicles Dedicated AMT

Development of the automotive industry to make human life more convenient but also cause environmental pollution, energy shortages and other issues. Because of the advantages of electric vehicles with zero emissions, making it more suitable for urban transport, but now the major research and development of electric vehicles generally double reduction is used. To make the power and economy of electric vehicle requirements are met, it will have higher performance requirements of the drive motor, the cost of electric vehicles will increases. In this paper, electronically controlled electric AMT been adopted, and AMT shifting control are studied to solve the shortcoming of electric vehicles on the performance requirements of the motor is high. Electric vehicles required power and economy are met while driving cost of the motor is reduced.Firstly, a mathematical model of the transmission has been established, and the synchronization of the synchronizer principle is analyzed. Synchronizer model is established in ADAMS, and the simulation is completed. Effect of different forces and the speed difference on the shift quality is analyzed in the shifting process.Secondly, drive motor speed control model is established, and the drive motor speed regulation performance is verified. Linear quadratic optimal control system is adopted to optimize the drive motor torque reduction processes to ensure that the jerk and the relative torsion angle of drive shaft to the minimum.Again, the control effect of the select and shift motor displacement controller being studied, PID and fuzzy sliding mode control is adopted individually to achieve displacement control of the select and shift motor. And the control effect is compared between them. Fuzzy sliding mode control is better than PID control in terms of resistance to interference, more suitable for the shifting motor displacement control for accuracy requirements.Finally, the vehicle model is set up, the control logic of shift process is developed. The entire process of shifting of AMT is simulated in MATLAB and ADAMS, the simulation results and experimental results are compared. The correctness of the control strategy is verified.In this paper, linear quadratic optimal control have been proposed to solve the problems of the jerk and torsional vibration when the drive motor torque reducing process. Fuzzy sliding mode control is used to solve the shifting motor displacement control accuracy problems. For AMT control of small electric vehicles has a certain value of theory reference and engineering applications.