Powertrain Match, Simulation And Optimization Based On Electric Vehicle

With the rapid development of city logistics, and increasingly more demands on logistics industry in terms of environmental protection and energy conservation, the pure electric logistics vehicle, equipped by its low cost and zero emission characteristics and awesome plus subsidies,has a promising development prospect. In this thesis, the power system of a certain type of traditional internal combustion engine vehicle is transformed based on blade electric vehicle development project of an automobile company. In addition,engineering problems involved in the transformation process are studied on the basis of related theory.(1) The stress analysis is carried out on the running automobile based on the traditional car driving theory, including rolling resistance, air resistance, climbing resistance and acceleration resistance. It also analyzes the performance of blade electric vehicle in terms of power, economy and power balance, and expatiates the design guidelines of parameter matching of power system, including the reasonable match of drive motor, battery and transmission device.(2) According to the prototype vehicle parameters and performance targets, the key components of power system are matched by the parameter matching of power system design guidelines, and the overall layout of the vehicle is determined after comprehensive consideration.(3) After completion of the pre-match, the GT-DRIVE platform is used to build the blade electric vehicle simulation model, including battery model, motor model, body model,driver model, transmission model, etc. The relevant parameters in the simulation model are entered and the driving conditions are set for simulation of vehicle power and economic analysis, mainly including: maximum speed simulation, maximum climb slope simulation,acceleration performance simulation and maximum mileage simulation. The simulation results show that the initial matching parameters can basically meet the design requirements.(4) According to the vehicle performance requirements and the motor efficiency map,the interval optimization algorithm and vehicle simulation model are used to optimize the transmission parameters and then a three-gear automatic transmission is selected. And comparison between the simulation results of the pre-optimization and post-optimization shows that the maximum gradeability of the post-optimization improved 5%, 0-40km/h acceleration time reduces 0.7s, maximum speed reduces 9km/h, the maximum driving range of 40km/h under constant velocity increase 11 km, the maximum driving range of NEDC driving cycle increases 40 km. All these results verify the rationality of parameter optimization.In this thesis, the parameters matching and simulation optimization of the power transmission system based on traditional automobile chassis are researched, providing certain theoretical reference value for the development of special chassis technology for electric vehicle.