Parameter Matching And Optimization Of PHEV Power System Based On AMESim And Simulink Platform

At present,the problem of energy consumption and environmental pollution caused by automobiles has attracted the attention of governments all over the world.PHEV(Plug in hybrid electric vehicle)has the comprehensive advantages of high fuel economy,good power performance,small emissions and large mileage,and its research has attracted the attention of automobile enterprises,scientific research institutions and governments of various countries.It is of great significance to improve the power performance,fuel economy,emission performance and system efficiency of PHEV.In this paper,numerical simulation and genetic algorithm are used to match and optimize the transmission system parameters of the vehicle based on the project of “Parameters matching of PHEV’s power system”.The main work completed is as follows:Determing configuration of transmission system,selecting the type and doing parameters matching of key components: Considering the comprehensive factors such as vehicle performance,cost and difficulty of the control,the configuration of the power system of the PHEV is selected,and the working mode of the power system is analyzed in detail.According to the design requirements of the vehicle,the key components’ selection and parameter matching of the power transmission system are carried out.Simulation analysis and modeling of vehicle power and economic performance:Physical model is built in AMESim according to the structural characteristics of hybrid electric vehicle,including engine,motor,battery,transmission gear pair,clutch,cycle condition and driver model,etc.Then,the vehicle control strategy is formulated based on rules according to the working characteristics of the engine and battery,vehicle control model including vehicle operation mode discrimination module and execution module is built in Simulink.Finally,the AMESim/Simulink vehicle performance co-simulation model is established by using S-function,which can be used to analyze the vehicle dynamic and economic performance.The verification of simulation model and the calculation of vehicle power and economic performance: Taking WLTC cycle as an example,according to the control strategy developed in this paper,the theoretical calculation of vehicle demand power,motor and engine power distribution is carried out,and the correctness of the simulation model is verified by comparing the theoretical calculation results with the simulation results.Then,the dynamic performance and fuel economy performance of the vehicle are calculated based on the simulation model.Optimization of speed ratio and control strategy parameters: On the premise of satisfying the dynamic performance of the vehicle,speed ratio and control strategy parameters are optimized based on genetic algorithm with the vehicle fuel consumption taken as the optimization target.