Research On Parameter Matching And Optimization Of Hybrid Electric Vehicle

The sharp increase in the number of cars brings convenience,but also brings problems of energy consumption and environmental pollution.Research on new energy vehicle technology is a way to reduce pressure on resources and environment.Hybrid electric vehicle is a new energy vehicle with multiple power sources.It has the advantages of high efficiency and low emissions of pure electric vehicles,specific power and high specific energy of petroleum fuels.The hybrid vehicle obviously improves the fuel economy and emission characteristics of traditional vehicles and ensures the driving range of pure electric mode.Guaranteed driving range in pure electric mode.This paper takes hybrid vehicles as the research object and makes a research on parameter matching and optimization of power system.Firstly,this paper analyzes the structure and working principle of the hybrid vehicle power system,and compares the advantages and disadvantages of different structure.According to the requirements of economy and power,this paper takes a hybrid vehicle as a reference model,sets the vehicle parameters and performance design objectives.The power system components of hybrid electric vehicle are studied in detail and the selection of engine,motor,battery pack,gearbox and the calculation of parameter matching are completed.The preliminary scheme is determined.On this basis,the author uses ADVISOR and MATLAB/Simulink software to model the power system components including vehicle,engine,motor,battery,transmission,etc.Running simulation under different conditions verifies the rationality of model selection and parameter matching.Finally,through the study of the improved genetic algorithm,the cellular genetic algorithm,the engine power and motor power are selected as the optimization objects.The multi-objective functions and constraints of the vehicle's dynamic and economic performance are established.The optimal value of parameters is obtained.The simulation results show that the vehicle's power and economy have been improved tosome extent.The cellular genetic algorithm has certain applicability to parameter optimization.