Development of a Novel Gasoline Particulate Filter Loading Method Using a Burner Bench

Frank Dorscheidt, Stefan Pischinger, Johannes Claßen, Stefan Sterlepper, Sascha Krysmon, Michael Görgen, Martin Nijs, Pawel Straszak and Abdelrahman Mahfouz Abdelkader
Additional contact information
Frank Dorscheidt: Institute for Combustion Engines VKA, RWTH Aachen University, 52074 Aachen, Germany
Stefan Pischinger: Institute for Combustion Engines VKA, RWTH Aachen University, 52074 Aachen, Germany
Johannes Claßen: Institute for Combustion Engines VKA, RWTH Aachen University, 52074 Aachen, Germany
Stefan Sterlepper: Institute for Combustion Engines VKA, RWTH Aachen University, 52074 Aachen, Germany
Sascha Krysmon: Institute for Combustion Engines VKA, RWTH Aachen University, 52074 Aachen, Germany
Michael Görgen: FEV Europe GmbH, 52078 Aachen, Germany
Martin Nijs: FEV Europe GmbH, 52078 Aachen, Germany
Pawel Straszak: FEV Europe GmbH, 52078 Aachen, Germany
Abdelrahman Mahfouz Abdelkader: FEV Europe GmbH, 52078 Aachen, Germany

Energies, 2021, vol. 14, issue 16, 1-21

Abstract: In view of the deliberations on new Euro 7 emission standards to be introduced by 2025, original equipment manufacturers (OEMs) are already hard at work to further minimise the pollutant emissions of their vehicles. A particular challenge in this context will be compliance with new particulate number (PN) limits. It is expected that these will be tightened significantly, especially by including particulates down to 10 nm. This will lead to a substantially increased effort in the calibration of gasoline particulate filter (GPF) control systems. Therefore, it is of great interest to implement advanced methods that enable shortened and at the same time more accurate GPF calibration techniques. In this context, this study presents an innovative GPF calibration procedure that can enable a uniquely efficient development process. In doing so, some calibration work packages involving GPF soot loading and regeneration are transferred to a modern burner test bench. This approach can minimise the costly and time-consuming use of engine test benches for GPF calibration tasks. Accurate characterisation of the particulate emissions produced after a cold start by the target engine in terms of size distribution, morphology, and the following exhaust gas backpressure and burn-off rates of the soot inside the GPF provides the basis for a precise reproduction and validation process on the burner test bench. The burner test bench presented enables the generation of particulates with a geometric mean diameter (GMD) of 35 nm, exactly as they were measured in the exhaust gas of the engine. The elemental composition of the burner particulates also shows strong similarities to the particulates produced by the gasoline engine, which is further confirmed by matching burn-off rates. Furthermore, the exhaust backpressure behaviour can accurately be reproduced over the entire loading range of the GPF. By shifting GPF-related calibration tasks to the burner test bench, total filter loading times can be reduced by up to 93%.

Keywords: gasoline particulate filter; calibration; burner test bench; cold-start particulates; particulate characterisation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/16/4914/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/16/4914/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:16:p:4914-:d:612531

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().