Research On Modeling And Simulation Of Intelligent Shift Strategy Of Electronic Mechanical Automatic Transmission

As the number of car ownership continues to increase year after year,AMT is becoming more and more popular in automotive transmissions.The electronically controlled mechanical automatic transmission(AMT)not only meets the basic performance requirements such as the economy and power of the vehicle during operation,but also overcomes problems such as poor driving and riding experience caused by improper shift control of the manual transmission.This paper mainly recognizes the variable parameters of different driving conditions,overcomes the differences caused by the changes of the parameters,and corrects the shifting speed,so as to realize the intelligent shifting strategy of the electronically controlled mechanical automatic transmission and improve the shifting of vehicles.Performance and quality.Firstly,this paper analyzes the steady state and dynamic torque characteristics of the engine,establishes system models such as clutch,transmission,and main reducer;analyzes the three states of the clutch when it is shifting,and constructs the model of the powertrain of the vehicle;Then analyzed the basic shifting strategy of AMT's best economy and best dynamics.Based on the analysis of the influence of the ramp control parameters on the shift strategy in different road conditions,an improved method for real-time identification of parameters based on the longitudinal dynamics of the vehicle is proposed.This method can efficiently identify the real-time status of variable parameters.A gear shift strategy was developed on different ramps to achieve optimal performance of the AMT shift on the ramp.Secondly,in order to make the AMT fully control the actuators of the clutch in the fully disengaged state,the sliding state and the combined state when shifting,the optimized neuron PSD algorithm is proposed,and the two algorithms are simulated and compared to optimize.After the algorithm self-learning,self-organization ability and robustness have significantly improved.In order to verify the effect and reality of the improved least square method in different slope road conditions,the MATLAB/Simulink toolbox was used to simulate and construct the engine model and powertrain model of the vehicle,and a parameter identification system was added.By comparing with the basic shift law and analyzing the simulation results,it can be seen that the improved least squares identification parameter method not only meets the dynamic and economic requirements in the ramp shift strategy,but also eliminates the shift cycle and fully coordinates the system.The role of action.The vehicle's shifting strategies on the downhill and down-grade in different road conditions were further improved,which validated the rationality and superiority of the improved least squares intelligent shift strategy.