摘要
提出了一种各种参数信息融合的汽油机过渡工况空燃比预测方法,分析了影响汽油机过渡工况空燃比的各种工况参数,提取了特征参数并建立了BP神经网络信息融合预测模型。研究结果表明该方法能够准确地预测汽油机过渡工况的空燃比,空燃比模型能高精度地逼近空燃比的实际动态过程。
The paper proposed the forecast method of gasoline engine transient condition air-fuel ratio based on the parameter information fusion,and analyzed working condition parameters which effected the gasoline engine transient condition air-fuel ratio,extracted characteristic parameters and established the BP neural network information fusion forecast model.The results show that this method can accurately predict the air-fuel ratio of gasoline engine,the air-fuel ratio model can accurately approximate the actual dynamic process.
关键词
汽油机
空燃比
信息融合
过渡工况
gasoline engine
air-fuel ratio
information fusion
transient condition
