Optimization and Analysis of Power System Parameters for Pure Electric Vehicles
The parameter matching of the power system is an important link in the design and development of pure electric Au-tomotive design,and the optimal parameter matching is the top priority.Firstly,a matching design is carried out for the motor pow-er,torque,main reducer speed ratio,battery,etc.Secondly,the PSO algorithm is used to design and optimize the initially matched powertrain parameters.Finally,based on Matlab/Simulink software,a comparative analysis is conducted to verify the overall perfor-mance of the vehicle after parameter optimization under NEDC cycle conditions.The simulation results show that the optimized pa-rameter matching sacrifices some of the power performance in exchange for an improvement in economy.The driving range increases by 5.43%compared to before the optimization,and the acceleration time per 100 kilometers is reduced by 5.35%,effectively im-proving the overall performance of the vehicle.
pure electric vehiclepower systemparameter matchingPSO optimization algorithmMatlab/Simulink
万方数据
维普
