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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10536291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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