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State of the Art and Analysis of Control Oriented NOx Models
Technical Paper
2012-01-0723
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
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.
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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, https://doi.org/10.4271/2012-01-0723.Data Sets - Support Documents
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