Intelligent control study of engine air-fuel ratio co-simulation based on information fusion

Author

Jia, GuoHai ; Gong, JinKe ; Deng, YuanWang ; Fu, Jun ; Yu, MingGuo

Author_Institution

State Key Lab. of Adv. Design & Manuf. for Vehicle Body, HNU Changsha, Changsha, China

fYear

2011

fDate

15-17 April 2011

Firstpage

2282

Lastpage

2285

Abstract

The multi-sensor information fusion technology is briefly introduced in the article. The basic structure of air-fuel ratio control system with information fusion is discussed by combining the function and characteristics of air-fuel ratio control system of gasoline engine transient condition. The information fusion model of air-fuel ratio control of gasoline engine transient condition is proposed by combining information fusion function with the air-fuel ratio control. The air-fuel ratio of gasoline engine has been precisely controlled when information fusion model used in the co-simulation model of gasoline engine. Simulation results show that air-fuel ratio can be controlled at around 14.7 when using the information fusion technology and it can meet the emission requirements for air-fuel ratio.

Keywords

intelligent control; internal combustion engines; sensor fusion; engine air-fuel ratio co-simulation; gasoline engine transient condition; intelligent control; multi-sensor information fusion technology; Artificial neural networks; Atmospheric modeling; Engines; Mathematical model; Petroleum; Sensors; Transient analysis; AMESim; Matlab/Simulink; co-simulation; gasoline engine; information fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5776851

Filename

5776851