Research On Parameter Matching And Optimization Of Power Transmission System Of Pure Electric Vehicle

With the vigorous development of the automobile industry,while automobiles have brought convenience to mankind,they have also caused social problems such as energy shortage,environmental pollution and greenhouse effect.In order to solve these problems,automobiles are gradually moving towards energy-saving,environmentally friendly and sustainable innovation.The direction of energy development.Pure electric vehicles have attracted the attention of various countries and auto companies for their advantages of zero pollution,low noise,and energy saving,and have become the main direction of the development of new energy vehicles.However,current pure electric vehicles have problems such as low battery energy density,long charging time,short cruising range,and immature driving motor technology,which limit the improvement of vehicle performance.In order to maximize the development of vehicle performance,improve the overall performance The power and economy of the vehicle are particularly important to match and optimize the parameters of the power transmission system of the vehicle.In this dissertation,the research on the parameter matching design and optimization of the pure electric vehicle power transmission system is carried out,and the structure and layout plan of the pure electric vehicle power transmission system are determined.According to the main parameters of the vehicle design and the design goal requirements,the pure electric vehicle is driven by theoretical calculations.Reasonable selection and parameter matching design of the motor,power battery and transmission system,determine the preliminary matching plan;use the AVL Cruise vehicle performance simulation software to build the vehicle simulation model of the pure electric vehicle,establish the mechanical and electrical signal connection of the vehicle,and Set the calculation tasks of vehicle power performance and economic performance,and perform simulation verification on the preliminary matching results.The simulation results show that the preliminary matching results meet the requirements of the vehicle design goals and prove the correctness of the preliminary matching scheme;In order to further improve the vehicle performance of pure electric vehicles and obtain the optimal solution that takes into account the power performance and economic performance of the vehicle,the Isight parameter optimization software and the Cruise vehicle performance simulation software are used for co-simulation,and the improved non-dominated sorting genetic algorithm(NSGA-Ⅱ)As a multi-objective optimization algorithm,multi-objective optimization of the speed ratio parameters of the vehicle power transmission system is carried out.The simulation results show that the power performance and economic performance of the pure electric vehicle after the co-simulation optimization have been improved,which proves that the optimization method is feasible Sex and reference value.