基于DOE和遗传算法的传动系参数优化方法研究  

Optimization Methods of Transmission Parameters Based on DOE and Genetic Algorithm

作　　者：吴峰 赵长禄[1] 朱振夏[1] Aboud Ahmed 张付军[1] 

机构地区：[1]北京理工大学 机械与车辆学院,北京100081

出　　处：《车辆与动力技术》2013年第2期11-15,共5页Vehicle & Power Technology

摘　　要：研究了以经济性为目标的动力传动优化方法,利用试验设计和遗传优化算法,针对特定的驾驶循环,在不降低驾驶性能的前提下,寻求最佳的经济性匹配参数.计算结果表明,采用DOE与GA分析相结合的方法,不仅可以大幅缩减试验样本容量和仿真时间,亦可达到令人满意的效果.通过优化匹配,该矿用车的燃油消耗量下降了6.19%.An optimization method for transmission parameters is studied by taking the fuel economy as a goal. By using the Design of Experiment （DOE） statistical method and the Genetic Algorithm, the best matching data are obtained under the conditions of a given driving cycle. The simulation results show that the above methods can largely reduce the number of the samples, save the simulating time, and get better results. By optimizing the transmission parameters, the fuel consumption of the truck decreases by 6. 19%.

关 键 词：动力传动匹配 DOE 矿用车 

分 类 号：U463.2[机械工程—车辆工程]