DocumentCode :
2382392
Title :
Predictive fuel dynamic control during engine start and crank-to-run transition for port fuel injected gasoline engines
Author :
Ma, Qi ; Yurkovich, Stephen ; Dudek, Kenneth P.
Author_Institution :
Gen. Motors Powertrain Adv. Eng., Portland, MI
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
994
Lastpage :
1001
Abstract :
Automotive emission regulations have sharply increased the calibration effort required to tune conventional fuel control algorithms for engine start and crank-to-run transition. This paper presents a model-based control approach with predictive fuel dynamics control that mitigates some of the calibration effort. Instead of using a static equivalence ratio blending approach to compute the fuel command during start and crank-to-run transition, the method suggests using scheduled in-cylinder fresh air charge prediction, individual cylinder fuel dynamics compensation (via direct inversion of a fuel dynamics model), and lost fuel correction. Misfire and poor starts are detected and mitigated using intelligent mode scheduling of the in-cylinder fresh air charge predictor, which includes special modes for misfire and poor start. The result is fault tolerant predictive fuel control, even in the face of misfire or poor starts. The scheme has been validated on production L4 and V8 engines over a wide range of operating conditions, and the paper presents selected results from that validation study.
Keywords :
automotive components; internal combustion engines; predictive control; automotive emission regulations; crank-to-run transition; fault tolerant predictive fuel control; fuel control algorithms; incylinder fresh air charge prediction; port fuel injected gasoline engines; predictive fuel dynamic control; Automotive engineering; Calibration; Dynamic scheduling; Engine cylinders; Fault tolerance; Fuels; Petroleum; Predictive models; Processor scheduling; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4586621
Filename :
4586621
Link To Document :
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