以阿特金森1NZ-FXE四缸十六气门循环发动机为研究对象,分析了其气路、油路和动力输出平均值模型;并对发动机的36个结构参数进行测量,采集不同工况下270组发动机的127个运行参数。通过构造超定超越方程组,利用最小二乘法及遗传算法及粒子群算法寻优计算,辨识出该发动机平均值模型的37个待辨识参数,且辨识效果好,可进一步应用于发动机及整车系统的控制。 Taking Atkinson 1NZ-FXE four-cylinder sixteen-valve cycle engine as the research object, the average model of the gas path, the oil path and the power output was analyzed. And 36 structural parameters of the engine were measured, Group of 127 engine operating parameters. By constructing overdetermined transcendental equations, the least squares method, genetic algorithm and particle swarm optimization algorithm are used to identify 37 unknown parameters of the average model of the engine, and the identification results are good and can be further applied to the engine and the entire vehicle System control.