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.
关键词
纯电动汽车/动力系统/参数匹配/PSO优化算法/Matlab/Simulink
Key words
pure electric vehicle/power system/parameter matching/PSO optimization algorithm/Matlab/Simulink
维普
万方数据