面向多目标满意度的分动器与整车匹配优化  

Optimal design of vehicle transfer case based on entropy and positive and negative ideal point method

作　　者：王亮[1] 郑泉[1] 陈黎卿[1,2] 胡芳[2] 

机构地区：[1]安徽农业大学工学院,安徽合肥230036 [2]合肥工业大学机械与汽车工程学院,安徽合肥230009

出　　处：《机械设计》2015年第7期20-24,共5页Journal of Machine Design

基　　金：国家自然基金资助项目(51305004)

摘　　要：以分动器为研究对象,建立以体积最小,原地起步加速时间及燃油经济性相结合的多目标满意度函数。基于响应曲面法和遗传算法,运用Matlab软件编写了分动器多目标满意度优化程序,得出了优化结果。通过AVL-Cruise虚拟试验软件仿真,得出优化前后原地起步加速时间和燃油经济性结果。结果表明:基于多目标满意度方法下,以体积最小和燃油经济性为重点优化对象,得到在体积与燃油消耗率明显减少的情况下,汽车原地起步加速时间增加0.52 s的优化方案,为分动器与整车的匹配提供了理论依据。Taking the volume,in situ initial acceleration time and fuel economy as objects,this paper presents a multiple objective satisfaction optimization of transfer case.Based on response surface method and genetic algorithm,the author develops a program by Matlab for transfer case multi-objective satisfaction optimization. In AVL-Cruise virtual experiment software simulation,the in situ initial acceleration time and fuel economy can be obtained and compared. It is proved that the volume and fuel consumption can be significantly reduced by the optimization with the accelerate time increased 0.52 s. The results showes the proposed method can provide a theorical basis for the transfer and vehicle matching.

关 键 词：分动器 响应曲面 遗传算法 动力性 燃油经济性 

分 类 号：U463.21[机械工程—车辆工程]