Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters
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...
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| Format: | Article |
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MDPI AG
2020-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/9/2659 |
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| author | Stefanie Walter Peter Schwanzer Gunter Hagen Gerhard Haft Hans-Peter Rabl Markus Dietrich Ralf Moos |
| author_facet | Stefanie Walter Peter Schwanzer Gunter Hagen Gerhard Haft Hans-Peter Rabl Markus Dietrich Ralf Moos |
| author_sort | Stefanie Walter |
| collection | DOAJ |
| description | 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<sup>®</sup> 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. |
| first_indexed | 2024-03-10T20:00:03Z |
| format | Article |
| id | doaj.art-1cc6ee8eb2ed468791f35702ce5d8515 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T20:00:03Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1cc6ee8eb2ed468791f35702ce5d85152023-11-19T23:38:35ZengMDPI AGSensors1424-82202020-05-01209265910.3390/s20092659Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate FiltersStefanie Walter0Peter Schwanzer1Gunter Hagen2Gerhard Haft3Hans-Peter Rabl4Markus Dietrich5Ralf Moos6Bayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, GermanyCombustion Engines and Emission Control Laboratory (CEEC), Ostbayerische Technische Hochschule Regensburg, 93053 Regensburg, GermanyBayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, GermanyVitesco Technologies GmbH, 93055 Regensburg, GermanyCombustion Engines and Emission Control Laboratory (CEEC), Ostbayerische Technische Hochschule Regensburg, 93053 Regensburg, GermanyVitesco Technologies GmbH, 93055 Regensburg, GermanyBayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, GermanyGasoline 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<sup>®</sup> 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.https://www.mdpi.com/1424-8220/20/9/2659gasoline particulate filter (GPF)radio frequency (RF)soot mass determinationfinite element method (FEM)ashdiesel particulate filter (DPF) |
| spellingShingle | Stefanie Walter Peter Schwanzer Gunter Hagen Gerhard Haft Hans-Peter Rabl Markus Dietrich Ralf Moos Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters Sensors gasoline particulate filter (GPF) radio frequency (RF) soot mass determination finite element method (FEM) ash diesel particulate filter (DPF) |
| title | Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters |
| title_full | Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters |
| title_fullStr | Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters |
| title_full_unstemmed | Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters |
| title_short | Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters |
| title_sort | modelling the influence of different soot types on the radio frequency based load detection of gasoline particulate filters |
| topic | gasoline particulate filter (GPF) radio frequency (RF) soot mass determination finite element method (FEM) ash diesel particulate filter (DPF) |
| url | https://www.mdpi.com/1424-8220/20/9/2659 |
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