scholarly journals Control-Oriented Modeling and Model-Based Estimation and Control for Diesel Engine Aftertreatment Systems

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.

2020 ◽  
Vol 28 (5) ◽  
pp. 1940-1947 ◽  
Author(s):  
William Dunham ◽  
Jinwoo Seok ◽  
Anouck Girard ◽  
Ilya Kolmanovsky ◽  
Weitian Chen ◽  
...  

2018 ◽  
Vol 108 ◽  
pp. 372-381
Author(s):  
Wirachai Chonwattana ◽  
Chanin Panjapornpon ◽  
Atthasit Tawai ◽  
Tanawadee Dechakupt

Author(s):  
Pingen Chen ◽  
Junmin Wang

Due to the chemical reactions occurring inside the diesel oxidation catalysts (DOCs) and diesel particulate filters (DPFs) that are commonly equipped on diesel engines, the exhaust gas oxygen concentrations considerably vary through the aftertreatment systems. Oxygen concentration in exhaust gas is important for the performance of catalysts such as the NOx conversion efficiencies of the selective catalytic reduction systems and lean NOx traps. Moreover, in the presence of a low-pressure loop exhaust gas recirculation, the exhaust gas oxygen concentration after DPF also influences the in-cylinder combustion. From system control, estimation, and analysis viewpoints, it is thus imperative to have a control-oriented model to describe the oxygen concentration dynamics across the DOC and DPF. In this paper, a physics-based, lumped-parameter, control-oriented DOC–DPF oxygen concentration dynamic model was developed with a multi-objective optimization method and validated with the experimental data obtained on a medium-duty diesel engine equipped with a full suite of aftertreatment systems. Experimental results show that the model can well capture the oxygen dynamics across the diesel engine aftertreatment systems. As an application of the experimentally validated model, an observer was designed to estimate the DOC-out and DPF-out oxygen concentrations in real time. Experimental results show that the estimated states from the proposed observer can converge to the measured signals fastly and accurately.


AIAA Journal ◽  
2019 ◽  
Vol 57 (6) ◽  
pp. 2344-2355
Author(s):  
H. J. Tol ◽  
C. C. de Visser ◽  
M. Kotsonis

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