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

Titelangaben

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.
In: Sensors. Bd. 23 (2023) Heft 18 . - 7861.
ISSN 1424-8220
DOI: https://doi.org/10.3390/s23187861

Volltext

Link zum Volltext (externe URL): Volltext

Angaben zu Projekten

Projekttitel:
Offizieller Projekttitel
Projekt-ID
Load Sensor for GPF
AZ-1288-17

Projektfinanzierung: Bayerische Forschungsstiftung

Abstract

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.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten > Fakultät für Ingenieurwissenschaften
Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Funktionsmaterialien > Lehrstuhl Funktionsmaterialien - Univ.-Prof. Dr.-Ing. Ralf Moos
Profilfelder > Advanced Fields > Neue Materialien
Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Bayreuther Materialzentrum - BayMAT
Forschungseinrichtungen > Forschungsstellen > BERC - Bayreuth Engine Research Center
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Eingestellt am: 18 Sep 2023 10:32
Letzte Änderung: 18 Sep 2023 10:32
URI: https://eref.uni-bayreuth.de/id/eprint/86868