基于遗传算法的柴油机空气系统优化研究  

Study on the optimization of airpath system of diesel engine by genetic algorithm

作　　者：姜光 张欣[1] JIANG Guang;ZHANG Xin(School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China)

机构地区：[1]北京交通大学机械与电子控制工程学院,北京100044

出　　处：《合肥工业大学学报（自然科学版）》2022年第1期13-17,共5页Journal of Hefei University of Technology：Natural Science

基　　金：国家重点研发计划资助项目(2017YFB0103500)。

摘　　要：为了提高柴油机的燃油经济性,文章利用遗传算法对带有废气再循环(exhaust gas recirculation,EGR)系统的涡轮增压柴油机空气系统进行参数优化。以发动机有效燃油消耗率为优化目标,NO_(x)与Soot排放为约束,EGR阀开度与可变截面涡轮增压器的叶片开度为优化参数,利用开发的GT-Power与Matlab/Simulink联合仿真程序进行遗传算法寻优。全负荷工况下的寻优结果表明,寻优后燃油消耗率相较于原机下降了1.21~2.42 g/(kW·h),通过遗传算法优化的空气系统参数能明显改善柴油机的燃油经济性。最后根据发动机各个工况的优化结果,绘制了EGR阀开度map与涡轮增压系统(variable geometry turbocharger,VGT)叶片开度map。In order to improve the fuel economy of diesel engine,the airpath system of turbocharged diesel engine with exhaust gas recirculation(EGR)system was optimized by genetic algorithm.Taking the brake specific fuel consumption of the engine as the optimization target,NO_(x) and Soot emissions as the constraints,the opening of the EGR valve and the rack position of variable geometry turbocharger(VGT)as optimization parameters,the coupling simulation model of GT-Power and Matlab/Simulink that was established in this paper was used to optimize the airpath system by genetic algorithm.The optimization results show that the brake specific fuel consumption after optimization can be reduced by 1.21 g/(kW·h)to 2.42 g/(kW·h)at full load,and optimizing the engine airpath system by genetic algorithm can improve the fuel economy of diesel engine.The map of EGR valve and the map of variable geometry turbocharger(VGT)rack position were drawn according to the optimization results under various working conditions.

关 键 词：柴油机 遗传算法 空气系统 GT-POWER软件 SIMULINK仿真 

分 类 号：TK422[动力工程及工程热物理—动力机械及工程]