摘要
为改善汽车的经济性和排放性能,本文以并联式混合动力汽车为研究对象,首先根据某款混合动力汽车设计要求,计算各个部件参数,并在AMESim软件上搭建了整车模型;然后采用逻辑门限值控制策略中的电力辅助控制策略,基于Matlab-Simulink搭建电力辅助控制策略,并在NEDC工况下进行联合仿真,最后集成Isight,采用NSGA-Ⅱ算法对控制参数进行优化,并进行优化后的整车经济性和排放性能仿真分析对比,验证了本文的控制策略设计与优化方法可行性。
To improve the economy and emission performance of automobiles.This article has do a research on the PHEV(Parallel Hybrid Electric Vehicle),firstly designed the parameters of car's powertrain according to the HEV's design requirement,then built the HEV model by software AMESim,after that we established the electric assist control strategy by Matlab-simulink to control the AMESim model,run the model at the NEDC working condition.Lastly do the optimization for the main parameters of the electric assist control strategy by NSGA-.Simulation results show that the fuel combustion and the emissions of the engine under the optimized control strategy has improved to a certain extent under different conditions.The result has proved the feasibility of this matching and optimization method.
作者
莫宇
尹安东
MO Yu;YIN An-dong(School of automobile and traffic engineering,Hefei University of Technology,Hefei 230009,China;Nation and Local Union Research Center for Automotive Technology&Equipment Engineering,Hefei230009,China)
出处
《汽车科技》
2018年第1期8-13,共6页
Auto Sci-Tech
基金
国家科技支撑项目(2013BAG08B01)
国家新能源汽车产业技术创新工程整车项目(财建[2012]1095号)
关键词
混合动力汽车
控制策略设计
遗传算法
参数优化
hybrid electric vehicle
parameter design
genetic algorithm
parameter optimization
