基于Pareto解模糊优化的汽车动力传动系匹配  

The Fuzzy Optimization of Automotive Transmission Matching Based on Pareto Solutions

作　　者：王艺[1] 叶欢月[2] 宋小文[1] 王耘[1] 胡树根[1] 

机构地区：[1]浙江大学能源工程学系,杭州310027 [2]浙江交通技师学院,金华321015

出　　处：《机械科学与技术》2011年第9期1413-1417,共5页Mechanical Science and Technology for Aerospace Engineering

基　　金：浙江省科技厅重大科技专项资助项目(2008C01002)资助

摘　　要：采用基于Pareto解的交互式模糊优化算法,提出了以汽车动力性、经济性与排放性为评价指标的评价体系,以3个指标为优化目标建立了多目标模糊优化模型。优化过程中对多目标引进协同灵敏度分析,多目标耦合情况给予考虑。利用Matlab编写了实现此算法的动力传动系统优化程序。并以某型号农用车传动系参数作为实例进行了验证,验证了此方法的有效性。This paper discusses the interactive fuzzy optimization algorithm based on pareto solution in order to optimize the automotive transmission matching and presents the evaluation system and establishes a multi-objective fuzzy optimization model,in which the evaluation parameters are minimum fuel economy,maximum dynamics and minimum emissions.In the optimization process,the collaborative sensitivity analysis is applied and the multi-objective coupling is also adopted.Then the Matlab software is used to optimize the power transmission parameters.The transmission parameters of agricultural vehicle have been used to verify the present method be effective.

关 键 词：汽车传动系匹配 多目标优化 交互式模糊优化 协同灵敏度分析 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]