基于优化理论优选柴油机燃烧模型经验参数的方法研究

Research on the Method of Determining Zero-dimensional Models Empirical Parameters Based on Optimization Algorithm

提出一种运用优化理论,利用柴油机主要性能参数,如最高爆发压力、平均指示压力、压缩终点压力等,计算其示功图以及放热率的方法.该方法以最高爆发压力、平均指示压力、压缩终点压力与实测值最接近为目标函数,建立多目标优化计算模型,借助Isight优化平台,采用改进的非支配解排序的多目标进化算法(NSGA II),优选双韦伯函数中的6个经验参数,利用优选出的结果进行柴油机工作过程计算,从而得出示功图.计算实例表明,采用上述方法计算出的示功图与实测的示功图基本吻合,减少了选取经验参数的盲目性.

The present work proposed a method of determining indicator diagrams of diesel engines by performance parameters, such as engine power and cylinder peak pressure. NSGA II provided by Isight software is employed to derive the optimal solution of empirical parameters of dual-Vibe func-tion in a multi-objective optimization model, in which the peak pressure, indicated mean pressure and compression pressure are closest to the measured ones serve as the objective functions while the empir-ical parameters of dual-Vibe combustion law as variables. Case study indicates that the result based on the proposed method is in accordance with the experimental ones, reducing the blindness of selected empirical parameters in dual-Vibe function.