基于径向基函数网络的氢发动机性能建模

MODELING FOR HYDROGEN FUELED ENGINE PERFORMANCE BASED ON RADIAL BASIS FUNCTION NETWORK

建立了氢发动机动力性、经济性及排放特性与发动机运转参数间的径向基函数网络模型,通过对建立的径向基函数网络进行训练和测试,模型能准确地预测氢发动机的输出特性,计算与试验结果的对比研究表明,最大相对误差小于2.8%。

A model for predicting hydrogen fueled engine power output, fuel consumption and exhaust emissions with engine operating parameters was proposed. Through the training and test, it shows that the model can abstractly predict the output performance. The calculating result with a RBF system was contrasted with experimental result. The contrasting result showed that the maximum relative accuracy is less than two point eight percentage.