A Study On Powertrain Matching And Optimizing For Range-extended Electric Vehicle

With the highly development of global industrialization, Cars have become the indispensable means of transportation for families in our daily life, which has brought great convenience to people’s travel. However,it also caused the environmental pollution inevitablely. Looking for new motor energy for auto industry has become one of the significant ways to solve the problem of global climate deterioration at present stage. Although the pure electric vehicle has the advantages of low noise, less pollution and etc. However, the electric car is still limited by battery energy density, life and charging equipment service and other factors, this is why pure electric vehicles are difficult to have a larger breakthrough in the short-term. As the transitional vehicle of pure electric vehicles and conventional vehicles, range-extended electric vehicles(REEV)has become the focus of the present study.This paper took the REEV as the research object, through the research status at home and abroad, by analyzing of the current program electric cars in powertrain matching, control strategies and methods of optimization in drivetrain parameters. According to the study of model performance charcateristics and working mode,this paper proposed a set of suitable scheme for the dynamic system matching, and has finished the following work:(1) According to the design parameters of REEV,by calculating and the survey of the market,this paper completed the main components selection and parameter matching of the vehicle power system.(2) Comparing the different control strategies of REEV and selected the engine type switch control strategy, which is simple and reliable.Based on the working mode of the REEV, the APU start-stop control strategy,electric control strategy, regenerative braking control strategy and parking charging control strategy have developed.(3)By the advisor software establishing the vehicle simulation model,which was based on Matlab/Simulink structures, the parameters of the powertrain and control strategy for simulation of the performance of the vehicles were analyzed(4)The vehicle simulation model was established by Cruise software. This paper analyzed the performance of the vehicle matching by the co-simulation platform established by Maltab with Cruise.(5) In order to improve the performance of the vehicle, optimal model was established, using the NSGA-II algorithm to optimize the vehicle’s transmission system design.