Design and Evaluation of Control-Oriented Diesel Oxidation Catalyst Models

Stephan Stadlbauer; Gabriele Zanardo; Harald Siegfried Waschl; Alexander Schilling; Daniel Alberer

Design and Evaluation of Control-Oriented Diesel Oxidation Catalyst Models

Stephan Stadlbauer, Gabriele Zanardo, Harald Siegfried Waschl, Alexander Schilling, Daniel Alberer

Institute of Design and Control of Mechatronical Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

This paper presents different strategies for Diesel Oxidation Catalyst(DOC)modeling. Starting from the commonly used approach of describing the chemical and energy balances by first principles and fitting a small set of parameters often unknown, special emphasis is placed on data driven DOC modeling. Considering black as well as grey box approaches it is shown that the data driven methods provide a better model quality and, in the specific case, are easier to fit since the considered model class are polynomial NARX models, which are linear in parameters.

Original language	English
Title of host publication	Proceedings of the IFAC Workshop on Engine and Powertrain Control,Simulation and Modeling E-COSM’12
Pages	415-420
Number of pages	6
Publication status	Published - Oct 2012

Fields of science

203 Mechanical Engineering
202034 Control engineering
202012 Electrical measurement technology
206 Medical Engineering
202027 Mechatronics
202003 Automation
203027 Internal combustion engines
207109 Pollutant emission

JKU Focus areas

Mechatronics and Information Processing

Cite this

@inproceedings{83b661ac51e14f96b4047eff8d98f295,

title = "Design and Evaluation of Control-Oriented Diesel Oxidation Catalyst Models",

abstract = "This paper presents different strategies for Diesel Oxidation Catalyst(DOC)modeling. Starting from the commonly used approach of describing the chemical and energy balances by first principles and fitting a small set of parameters often unknown, special emphasis is placed on data driven DOC modeling. Considering black as well as grey box approaches it is shown that the data driven methods provide a better model quality and, in the specific case, are easier to fit since the considered model class are polynomial NARX models, which are linear in parameters.",

author = "Stephan Stadlbauer and Gabriele Zanardo and Waschl, \{Harald Siegfried\} and Alexander Schilling and Daniel Alberer",

year = "2012",

month = oct,

language = "English",

pages = "415--420",

booktitle = "Proceedings of the IFAC Workshop on Engine and Powertrain Control,Simulation and Modeling E-COSM{\textquoteright}12",

}

Design and Evaluation of Control-Oriented Diesel Oxidation Catalyst Models. / Stadlbauer, Stephan; Zanardo, Gabriele; Waschl, Harald Siegfried et al.
Proceedings of the IFAC Workshop on Engine and Powertrain Control,Simulation and Modeling E-COSM’12. 2012. p. 415-420.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Design and Evaluation of Control-Oriented Diesel Oxidation Catalyst Models

AU - Stadlbauer, Stephan

AU - Zanardo, Gabriele

AU - Waschl, Harald Siegfried

AU - Schilling, Alexander

AU - Alberer, Daniel

PY - 2012/10

Y1 - 2012/10

N2 - This paper presents different strategies for Diesel Oxidation Catalyst(DOC)modeling. Starting from the commonly used approach of describing the chemical and energy balances by first principles and fitting a small set of parameters often unknown, special emphasis is placed on data driven DOC modeling. Considering black as well as grey box approaches it is shown that the data driven methods provide a better model quality and, in the specific case, are easier to fit since the considered model class are polynomial NARX models, which are linear in parameters.

AB - This paper presents different strategies for Diesel Oxidation Catalyst(DOC)modeling. Starting from the commonly used approach of describing the chemical and energy balances by first principles and fitting a small set of parameters often unknown, special emphasis is placed on data driven DOC modeling. Considering black as well as grey box approaches it is shown that the data driven methods provide a better model quality and, in the specific case, are easier to fit since the considered model class are polynomial NARX models, which are linear in parameters.

M3 - Conference proceedings

SP - 415

EP - 420

BT - Proceedings of the IFAC Workshop on Engine and Powertrain Control,Simulation and Modeling E-COSM’12

ER -