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Topics in Catalysis
Published in: Topics in Catalysis 1-4/2019

21-11-2018 | Original Article

Modelling the Exhaust Gas Aftertreatment System of a SI Engine Using Artificial Neural Networks

Authors: Klemens Schürholz, Daniel Brückner, Dirk Abel

Published in: Topics in Catalysis | Issue 1-4/2019

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Abstract

In this paper recurrent neural networks are used for modelling of the exhaust gas aftertreatment system of a spark-ignition engine including a three-way catalytic converter and oxygen sensors. Different network architectures are compared based on their achieved mean squared error. We find that physically inspired architectures surpass naive architectures built without knowledge of the physical system. The best resulting model is evaluated by giving the quantiles of the absolute error.
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Metadata
Title
Modelling the Exhaust Gas Aftertreatment System of a SI Engine Using Artificial Neural Networks
Authors
Klemens Schürholz
Daniel Brückner
Dirk Abel
Publication date
21-11-2018
Publisher
Springer US
Published in
Topics in Catalysis / Issue 1-4/2019
Print ISSN: 1022-5528
Electronic ISSN: 1572-9028
DOI
https://doi.org/10.1007/s11244-018-1089-9

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