Research On Powertrain Parameters Of Pure Electric Vehicle

With the increasing concept of energy conservation and green environmental protection, New energy vehicles are gradually being accepted by the public and at a faster pace of development. Power system as an electric vehicle power source, to a large extent affect its performance and quality, An reasonable choice and matching power system parameters can improve the power and economy of electric vehicles.Pure electric vehicle parameters matching is a very complex work, the layout of the drive system in power system, Parameter matching and control strategy are three important factors that influence pure electric vehicle power and economy, This paper aims at the reasonable parameters matching to improve the electric vehicle power and economy. In the course of the study papers selected three-phase six state of no brush DC motor as the driving motor of electric vehicles, At the basic parameters of the one vehicle, to specify the dynamic performance requirements as the goal of further study.The paper firstly illuminates the background and significance of the topic. Itintroduces electric vehicle research status at home and abroad, and focuses onelectric vehicle powertrain research status. It mainly discusses the importance of key technology for electric vehicle development such as motor control system, battery technology and lightweight vehicles. Secondly,give a brief introduce to the structure of pure electric vehicle powertrain,compare withe tradition fuel automobiles pureelectric vehicle have a obviously different in energy supply,Power transmissionand drive control.Analyzed the motor theory model and the energy storage theoretical model of electrical vehicle,For subsequent performance requirements analysis and Power system parameter matching design providing theoretical support. Thirdly, based on fundamental theory of vehicle dynamics, it takes theoretical calculation for each key part of electric vehicle system, then power system parameters are concluded preliminarily. Finally, it establishes simulation model from software ADVISOR. Then, distance per charge, climbing, acceleration of the carload are simulated. Combination property was simulated in ECE-EUDC working condition. Analysis of vehicle comprehensive performance simulation by The ECE-EUDC condition, Finally, the original matching parameters were optimized by the ant colony genetic algorithm, and the simulation was carried out again in the ADVISOR software. the simulation results show that this paper given parameters of pure electric vehicle can meet the design requirements.