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Soot Monitoring of Gasoline Particulate Filters Using a Radio-Frequency-Based Sensor

Owing to increasingly stringent emission limits, particulate filters have become mandatory for gasoline-engine vehicles. Monitoring their soot loading is necessary for error-free operation. The state-of-the-art differential pressure sensors suffer from inaccuracies due to small amounts of stored soo...

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Autores principales: Walter, Stefanie, Schwanzer, Peter, Hagen, Gunter, Rabl, Hans-Peter, Dietrich, Markus, Moos, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536291/
https://www.ncbi.nlm.nih.gov/pubmed/37765917
http://dx.doi.org/10.3390/s23187861
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author Walter, Stefanie
Schwanzer, Peter
Hagen, Gunter
Rabl, Hans-Peter
Dietrich, Markus
Moos, Ralf
author_facet Walter, Stefanie
Schwanzer, Peter
Hagen, Gunter
Rabl, Hans-Peter
Dietrich, Markus
Moos, Ralf
author_sort Walter, Stefanie
collection PubMed
description Owing to increasingly stringent emission limits, particulate filters have become mandatory for gasoline-engine vehicles. Monitoring their soot loading is necessary for error-free operation. The state-of-the-art differential pressure sensors suffer from inaccuracies due to small amounts of stored soot combined with exhaust gas conditions that lead to partial regeneration. As an alternative approach, radio-frequency-based (RF) sensors can accurately measure the soot loading, even under these conditions, by detecting soot through its dielectric properties. However, they face a different challenge as their sensitivity may depend on the engine operation conditions during soot formation. In this article, this influence is evaluated in more detail. Various soot samples were generated on an engine test bench. Their dielectric properties were measured using the microwave cavity perturbation (MCP) method and compared with the corresponding sensitivity of the RF sensor determined on a lab test bench. Both showed similar behavior. The values for the soot samples themselves, however, differed significantly from each other. A way to correct for this cross-sensitivity was found in the influence of exhaust gas humidity on the RF sensor, which can be correlated with the engine load. By evaluating this influence during significant humidity changes, such as fuel cuts, it could be used to correct the influence of the engineon the RF sensor.
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spelling pubmed-105362912023-09-29 Soot Monitoring of Gasoline Particulate Filters Using a Radio-Frequency-Based Sensor Walter, Stefanie Schwanzer, Peter Hagen, Gunter Rabl, Hans-Peter Dietrich, Markus Moos, Ralf Sensors (Basel) Article Owing to increasingly stringent emission limits, particulate filters have become mandatory for gasoline-engine vehicles. Monitoring their soot loading is necessary for error-free operation. The state-of-the-art differential pressure sensors suffer from inaccuracies due to small amounts of stored soot combined with exhaust gas conditions that lead to partial regeneration. As an alternative approach, radio-frequency-based (RF) sensors can accurately measure the soot loading, even under these conditions, by detecting soot through its dielectric properties. However, they face a different challenge as their sensitivity may depend on the engine operation conditions during soot formation. In this article, this influence is evaluated in more detail. Various soot samples were generated on an engine test bench. Their dielectric properties were measured using the microwave cavity perturbation (MCP) method and compared with the corresponding sensitivity of the RF sensor determined on a lab test bench. Both showed similar behavior. The values for the soot samples themselves, however, differed significantly from each other. A way to correct for this cross-sensitivity was found in the influence of exhaust gas humidity on the RF sensor, which can be correlated with the engine load. By evaluating this influence during significant humidity changes, such as fuel cuts, it could be used to correct the influence of the engineon the RF sensor. MDPI 2023-09-13 /pmc/articles/PMC10536291/ /pubmed/37765917 http://dx.doi.org/10.3390/s23187861 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Walter, Stefanie
Schwanzer, Peter
Hagen, Gunter
Rabl, Hans-Peter
Dietrich, Markus
Moos, Ralf
Soot Monitoring of Gasoline Particulate Filters Using a Radio-Frequency-Based Sensor
title Soot Monitoring of Gasoline Particulate Filters Using a Radio-Frequency-Based Sensor
title_full Soot Monitoring of Gasoline Particulate Filters Using a Radio-Frequency-Based Sensor
title_fullStr Soot Monitoring of Gasoline Particulate Filters Using a Radio-Frequency-Based Sensor
title_full_unstemmed Soot Monitoring of Gasoline Particulate Filters Using a Radio-Frequency-Based Sensor
title_short Soot Monitoring of Gasoline Particulate Filters Using a Radio-Frequency-Based Sensor
title_sort soot monitoring of gasoline particulate filters using a radio-frequency-based sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536291/
https://www.ncbi.nlm.nih.gov/pubmed/37765917
http://dx.doi.org/10.3390/s23187861
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