基于Pareto解模糊优化的汽车动力传动系匹配

摘要

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.%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。