Taking the engine speed, intake air mass, cycle injection mass, cooling water temperature, intercooled air temperature, intake humidity, exhaust back pressure, diesel temperature and the NOx mass flow as the input and output parameters respectively, the NOx emission prediction model was built through optimizing hidden layer node number and iteration times and training test samples. The generalization ability of model was verified by testing the bench test data. It was found that the error between test and prediction value was less than 1.5%. The importance and control characteristics of test factor were further analyzed with the model. The results show that the engine speed, cycle injection mass, intercooling air temperature and exhaust back pressure have the greater influences on the NOx emission. In addition, the influence of intake humidity on NOx emission is higher than any other factors because of its wide range.
JI Shude
,
GAO Huawei
,
WU Xuhong
,
LIU Zhigang
,
ZHANG Wei
,
HAO Jiyan
,
CHEN Dongfeng
,
LI Quan
,
LIANG Yuming
. Prediction and Experimental Investigation on NOx Emission of Diesel Engine Based on MultiFactor Neutral Network Model[J]. Vehicle Engine, 2018
, 0(2)
: 41
-45
.
DOI: 10.3969/j.issn.1001-2222.2018.02.007
