State of the Art and Analysis of Control Oriented NOx Models

Paper #:
  • 2012-01-0723

Published:
  • 2012-04-16
DOI:
  • 10.4271/2012-01-0723
Citation:
Quérel, C., Grondin, O., and Letellier, C., "State of the Art and Analysis of Control Oriented NOx Models," SAE Technical Paper 2012-01-0723, 2012, doi:10.4271/2012-01-0723.
Pages:
17
Abstract:
Future pollutant emissions legislations are expected to be increasingly stringent. To reduce Nitrogen Oxides (NOx) emissions produced by Diesel engines, advanced combustion technologies - like Low Temperature Combustion (LTC) -, vehicle hybridization and NOx after-treatment systems - such as Selective Catalytic Reduction (SCR) systems - can be considered, leading to a growing demand for NOx models.In this paper, we present a state-of-art of the different existing NOx models, from the black-boxes to the three-dimensional Computational Fluid Dynamics (CFD) codes. A way to classify these models is proposed. The paper also introduces the current applications for each subgroup of models.Then, a black-box and two grey-box NOx models are studied regarding their accuracy and their sensitivity to model inputs. These models are validated for two Diesel engines on steady-state operating points as well as on transient operations. The semi-physical models accurately predict NOx emissions. The static map shows a good match with experimental data for the operating conditions resulting from the engine calibration, but can not detect any variation in these conditions. The high sensitivity of the semi-physical models according to the intake manifold composition shows that these models can not be used directly for all the engine control applications.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Training / Education
2003-01-22
Technical Paper / Journal Article
2010-09-28
Article
2016-08-24
Technical Paper / Journal Article
2010-10-25
Training / Education
2017-09-21