废气再循环阿特金森汽油机经济性优化算法

Economy Performance Optimization Algorithm of Exhaust Gas Recirculation Atkinson Gasoline Engine

摘要:

基于一维整机模型在3 000 r?min-1部分负荷工况下对Atkinson汽油机性能进行仿真分析.结果表明，在保持节气门位置、空燃比与点火提前角不变的情况下，随着废气再循环率提升或随着LIVC(late intake valve closing)增大，发动机的油耗均呈现增大趋势.为进一步优化Atkinson发动机燃油经济性，在节气门全开条件下搭建了GTpower与MATLAB联合仿真模型，通过改进的遗传算法，对废气再循环率、进气门晚关角、点火提前角、空燃比等参数进行优化迭代，并对历代种群进行了模糊聚类分析，得出了不同负荷工况点的油耗最优值及对应的控制参数.

Abstract:

The performance of Atkinson gasoline engine was simulated and analyzed based on the 1D engine model at working condition of the part load of 3 000 r?min-1. The results show that with the increase of EGR rate or LIVC, the engine fuel consumption is increased in the case that the throttle position, airfuel ratio, and ignition timing keep unchanged. In order to improve the Atkinson engine fuel economy，the united simulation model of MATLAB and GTpower was set up in the wide open throttle working condition. The values of EGR rate, LIVC, ignition timing, and airfuel ratio were iteratively optimized by using a redesigned genetic algorithm. The fuzzy clustering method was adopted to analyze all the previous generations for obtaining the best fuel consumption and the corresponding control parameters at different load points.