Study On Plug-in Hybrid Vehicle Simulation And Clutch Control Technology

With global warming,environmental pollution,the energy crisis and energy security pressure,the traditional auto industry based on fossil fuel is facing unprecedented challenge.The development of clean,efficient and intelligent new type of cars is an imminent issue.The plug-in hybrid vehicle doesn’t need to build the special charging facilities,which is convenient to generalize.Compared with the pure electric vehicle,the mileage of plug-in hybrid vehicle increases greatly.It effectively solves the problem of insufficient mileage of pure electric vehicles.Compared with the traditional vehicle,plug-in hybrid vehicle can effectively reduce the environmental pollution.The main work of this thesis is as follows:1.In order to ensure the accuracy of the vehicle simulation,this thesis uses the vehicle weight,frontal area,tire and vehicle parameters to match the parameters of the motor,battery,engine and vehicle speed,which is combined with the automobile theory,vehicle design,vehicle dynamics and other relevant knowledge.2.This thesis selects Matlab/Simulink to build the engine,motor,power battery,driver,vehicle controller and other models,and then in accordance with the structure of the P1+P4 hybrid system to build a vehicle simulation model.Using this platform for modeling and simulation not only can test and verify the control strategy model of vehicle controller by MIL,but also can directly generate code and integrate with underlying program.This technology can greatly improve the development efficiency and reduced the cost of the research.3.This thesis uses PID control and adaptive fuzzy neural network control to adjust the clutch.PID control is widely used.But in the complex and nonlinear clutch system,the effect is greatly affected.So this thesis introduces the adaptive fuzzy neural network to adjust theclutch.The simulation results show that the clutch performance using adaptive fuzzy neural network control is better than PID control.The bonding time is shortened by 27%,friction work is reduced by 15.8%,and the degree of impact is reduced by 51.4%,which will improve the vehicle driving performance and comfort.4.This thesis designs GUI graphical interface by Matlab to make the simulation operation more efficient,and the simulation results more legible.The software integrates model selection,parameter modification,model correction,and other functions,which can well compatible with the model and simulation.In order to facilitate the vehicle test,this thesis designs the software based on CAN network to monitor the vehicle.The software can collect and analyze the real-time information and fault state,at the same time it can send messages to the specified node.