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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2002, Vol. 3 Issue (5): 543-548    DOI: 10.1631/jzus.2002.0543
Computer & Industry Technology     
A method for predicting in-cylinder compound combustion emissions
SU Shi-chuan, YAN Zhao-da, YUAN Guang-jie, CAO yun-hua, ZHOU Chong-guang
The Institute Power Machinery and Vehicular Engineering, Zhejiang University, Hangzhou 310027, China
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Abstract  This paper presents a method using a large steady-state engine operation data matrix to provide necessary information for successfully training a predictive network, while at the same time eliminating errors produced by the dispersive effects of the emissions measurement system. The steady-state training conditions of compound fuel allow for the correlation of time-averaged in-cylinder combustion variables to the engine-out NOx and HC emissions. The error back-propagation neural network (EBP) is then capable of learning the relationships between these variables and the measured gaseous emissions, and then interpolating between steady-state points in the matrix. This method for NOx and HC has been proved highly successful.

Key words： Back-propagation neural network (EBP)      Compound fuel      Emissions      Prediction     
Received: 08 October 2001     
CLC:  TK421+.5  
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SU Shi-chuan
YAN Zhao-da
YUAN Guang-jie
CAO yun-hua
ZHOU Chong-guang
Cite this article:

SU Shi-chuan, YAN Zhao-da, YUAN Guang-jie, CAO yun-hua, ZHOU Chong-guang. A method for predicting in-cylinder compound combustion emissions. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2002, 3(5): 543-548.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2002.0543     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2002/V3/I5/543

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