Research On Transmission System Parameters Matching And Optimization Of Pure Electric Vehicle

In today’s rapidly changing world,energy and environmental issues have always occupied a place.Automobile and its upstream and downstream industries play an important role in the industrial society.It has become a consensus of all countries in the world to seek alternatives to fuel vehicles and develop pure electric vehicles.At present,pure electric vehicle technology is in its infancy,and pure electric vehicle uses electric motor to provide driving force,which brings new challenges to research and development.How to make the parameters of motor and battery match with the parameters of traditional mechanical structure is the hot spot of electric vehicle technology research.In this paper,a domestic pure electric vehicle model as a reference,the transmission system parameters matching problem is analyzed.Firstly,the force model of the vehicle was established,and the calculation method of the key indicators of the vehicle performance was deduced.According to the design requirements of this paper,combined with the traditional parameter matching process,the selection of driving motor and power battery pack is determined,and the design method of important parameters such as motor power,torque,battery number and transmission ratio is given.Most of the traditional parameter matching optimization studies choose to optimize the transmission ratio and calculate the motor parameters as fixed values,ignoring the influence of the motor parameters on the vehicle performance.In this paper,the peak power,peak torque and transmission ratio of the driving motor are selected as optimization variables,and the relationship between them and the motor parameters is deduced by considering the influence of the motor parameter variation on the vehicle performance caused by the change of the spare quality and motor efficiency.Based on the above,the hybrid optimization algorithm of genetic particle swarm optimization(GPSO)was adopted in this paper.Taking 0-100 km /h acceleration time and 60km/h driving range under constant speed conditions as optimization objectives,and the maximum speed and maximum climb as constraint conditions,a multi-objective optimization was carried out for the transmission system parameter matching problem.In order to make the algorithm more efficient,this paper designs a pure electric vehicle transmission system parameter matching optimization software platform based on QT and MATLAB,and encapsulates the core part of the optimization algorithm.The optimization algorithm can be used for parameter setting on the software platform and the different abilities of different algorithms can be compared.Finally,the model required by the project is built based on CRUISE software,and parameter Settings and signal connections are carried out for key modules such as vehicle module,motor module,battery module,wheel and main reducer.The dynamic performance and economy of the project model are simulated,and the results of optimization algorithm are verified.Compared with the traditional matching method,the optimization algorithm can improve the vehicle performance greatly.