Model-Based Comparison of Passive SCR Aftertreatment Systems for Electrified Diesel Applications

2020 ◽  
Author(s):  
Dimitrios Karamitros ◽  
Christos Avgerinos ◽  
Stavros Skarlis ◽  
Grigorios Koltsakis ◽  
Giuseppe Previtero ◽  
...  
2015 ◽  
Vol 137 (12) ◽  
pp. S11-S14
Author(s):  
Junmin Wang

This article provides an overview of control-oriented modeling and model-based estimation and control for diesel engine aftertreatment systems. The chemical reactions and physical processes that occur in diesel engine after-treatment systems are quite complex. Computational models describing the chemical reaction kinetics, flow, and thermo-physical phenomena in engine exhaust aftertreatment systems have been coming forth since the 1960s when catalytic converters were introduced for vehicle applications {AQ: This word ‘catalystic’ is not found in standard dictionaries. Please check and correct if necessary.}. Such models can provide insightful understanding and mathematical descriptions on the chemical reactions, mass transfer, and heat transfer processes in one-dimensional and multi-dimensional fashions. The primary purpose of diesel engine aftertreatment system control-oriented models is to serve for the designs of real-time aftertreatment control and fault-diagnosis systems to reduce tailpipe emissions during real-world vehicle operations. Because such control-oriented models contain physically-meaningful parameters of the actual treatment systems, the model-based estimation and control algorithms can have excellent generalizability among different platforms.


2018 ◽  
Vol 62 (1-4) ◽  
pp. 150-156 ◽  
Author(s):  
T. Ritter ◽  
M. Seibel ◽  
F. Hofmann ◽  
M. Weibel ◽  
R. Moos

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.


Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery

Author(s):  
Jonathan Jacky ◽  
Margus Veanes ◽  
Colin Campbell ◽  
Wolfram Schulte
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document