Pure Electric Vehicle Drive System Matching

From the 1930 s to the present,people have never stopped exploring the car,from steam-powered cars,battery-powered cars,fuel cars to today's hot new energy vehicles.With the surge in the number of traditional fuel vehicles,energy and environmental issues have been overwhelmed,and new energy vehicles are becoming more and more global.The development of fuel vehicles is mature,but there are many technical obstacles in the field of new energy vehicles.Governments and relevant industries and research institutes in various countries are competing to research and develop related technologies.In the process of popularizing new energy vehicles,there are many problems that need to be solved urgently.Including battery specific capacity problem,low driving mileage problem,drive system matching problem,charging pile problem,hydrogen production technology problem,hydrogenation technology problem,inverter research problem and so on.In new energy vehicles,the fuel cell vehicle system is complex and the hydrogen production technology is immature,and it is not completely zero-emission.Therefore,it is only a fuel vehicle replacement product that has recently emerged due to environmental protection policies.In the long run,zero-emission pure electric vehicles are only It is the ultimate direction of technological development.This paper is based on pure electric vehicles to studyits drive system matching problem.The drive system includes the drive motor in the power system,the drive battery,the inverter and the transmission and the reducer in the transmission system.Each subsystem component has a series of parameters.The performance of a single system cannot represent the performance of the whole vehicle.Each system can be coordinated and matched to ensure that the performance of the entire vehicle is improved while not wasting resources of a certain system.For example,the greater the motor drive power,the stronger the drive performance,the higher the vehicle's dynamic performance can be improved,but the single best for high performance and high power,the quality of the drive motor will be too large,under the premise of a certain battery pack parameters,The driving range is reduced.Therefore,only the matching system parameter selection can take into account the power and economy of the vehicle at the same time.It can be seen that considering the matching problem between the drive systems in the vehicle perspective is a problem worthy of attention.Based on an A00-class pure electric vehicle,this paper uses traditional linear matching to match and verify the drive system based on the manufacturer's dynamic performance and economic performance.Then,the driving range that can reflect the economic performance of the whole vehicle and the acceleration time that can reflect the dynamic performance of the vehicle are set as the dualobjective function for the dual target,the transmission ratio of the selected transmission system,the overload coefficient of the driving motor and the expansion constant power coefficient are three.The optimization variables use genetic algorithm to find their optimal solution,and use ADVIOSR simulation software to simulate the matching results of traditional matching method and double objective function method,and finally verify the effectiveness of the optimization algorithm.