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基于遗传算法的某款汽油车油耗和排放综合优化
引用本文:张宇.基于遗传算法的某款汽油车油耗和排放综合优化[J].湖北汽车工业学院学报,2014(1):18-21.
作者姓名:张宇
作者单位:;1.合肥工业大学机械与汽车工程学院
摘    要:利用AMESim软件建立整车模型,并以各级传动比为设计变量,燃油消耗量最少以及整车的污染物排放量最小为目标函数,设定各级传动比的范围和整车动力性为约束条件,采用遗传算法对传动比进行优化。优化结果表明:优化后整车的燃油经济性和排放性能得到一定改善。

关 键 词:AMESim  遗传算法  整车建模  优化

Optimization of Fuel Consumption and Emission for Gasoline Vehicle Based on Genetic Algorithm
Abstract:The vehicle model was built based on AMEsim software and the ratio of each gear was selected as design variable in order to minimize the fuel consumption and emissions which were set as objective function. The genetic algorithm was adopted to optimize the gear ratio with a set of constraint conditions, including the range of gear ratio and vehicle dynamic performance. The optimization result indicates that fuel economy and emission performance of the vehicle have been some improvement.
Keywords:AMESim  genetic algorithm  modeling  optimization
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