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Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters

Titelangaben

Walter, Stefanie ; Schwanzer, Peter ; Hagen, Gunter ; Haft, Gerhard ; Rabl, Hans-Peter ; Dietrich, Markus ; Moos, Ralf:
Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters.
In: Sensors. Bd. 20 (2020) Heft 9 . - No. 2659.
ISSN 1424-8220
DOI: https://doi.org/10.3390/s20092659

Volltext

Link zum Volltext (externe URL): Volltext

Angaben zu Projekten

Projekttitel:
Offizieller Projekttitel
Projekt-ID
Load Sensor for GPF
AZ-1288-17
Open Access Publizieren
Ohne Angabe

Projektfinanzierung: Bayerische Forschungsstiftung (BFS)

Abstract

Gasoline particulate filters (GPFs) are an appropriate means to meet today’s emission standards. As for diesel applications, GPFs can be monitored via differential pressure sensors or using a radio-frequency approach (RF sensor). Due to largely differing soot properties and engine operating modes of gasoline compared to diesel engines (e.g., the possibility of incomplete regenerations), the behavior of both sensor systems must be investigated in detail. For this purpose, extensive measurements on engine test benches are usually required. To simplify the sensor development, a simulation model was developed using COMSOL Multiphysics® that not only allowed for calculating the loading and regeneration process of GPFs under different engine operating conditions but also determined the impact on both sensor systems. To simulate the regeneration behavior of gasoline soot accurately, an oxidation model was developed. To identify the influence of different engine operating points on the sensor behavior, various samples generated at an engine test bench were examined regarding their kinetic parameters using thermogravimetric analysis. Thus, this compared the accuracy of soot mass determination using the RF sensor with the differential pressure method. By simulating a typical driving condition with incomplete regenerations, the effects of the soot kinetics on sensor accuracy was demonstrated exemplarily. Thereby, the RF sensor showed an overall smaller mass determination error, as well as a lower dependence on the soot kinetics.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: gasoline particulate filter (GPF); radio frequency (RF); soot mass determination; finite element method (FEM); ash; diesel particulate filter (DPF)
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 > Forschungszentren > Bayreuther Materialzentrum - BayMAT
Forschungseinrichtungen > Forschungsstellen > BERC - Bayreuth Engine Research Center
Fakultäten
Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Funktionsmaterialien
Profilfelder
Profilfelder > Advanced Fields
Forschungseinrichtungen
Forschungseinrichtungen > Forschungszentren
Forschungseinrichtungen > Forschungsstellen
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Eingestellt am: 12 Mai 2020 06:40
Letzte Änderung: 22 Apr 2021 10:22
URI: https://eref.uni-bayreuth.de/id/eprint/55142