gasoline particulate filter
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Energy ◽  
2021 ◽  
pp. 122701
Author(s):  
Xinning Zhu ◽  
Qingsong Zuo ◽  
Yuanyou Tan ◽  
Yong Xie ◽  
Zhuang Shen ◽  
...  

2021 ◽  
Author(s):  
Stanislav V. Bohac ◽  
Scott Ludlam

Abstract A test program to characterize the benefits and challenges of applying a European series production catalyzed gasoline particulate filter (GPF) to a U.S. Tier 2 turbocharged light duty truck (3.5L Ecoboost Ford F150) in the underfloor location was initiated at the U.S. Environmental Protection Agency. The turbos and underfloor location keep the GPF relatively cool and minimize passive regeneration relative to other configurations. This study characterizes the relatively cool GPF in a lightly loaded state, approximately 0.1 to 0.4 g/L of soot loading, using four test cycles: 60 mph steady state, 4-phase FTP, HWFET, and US06. Measurements include GPF temperature, soot loading, GPF pressure drop, brake thermal efficiency (BTE), CO2, PM mass, elemental carbon (EC), filter-collected organic carbon (OC), CO, THC, and NOx emissions. The lightly loaded underfloor GPF achieves 85–99% reduction in PM mass, 98.5–100.0% reduction in EC, and 65–91% reduction in filter-collected OC, depending on test cycle. The smallest reductions in PM and EC occur in the US06 cycle due to mild GPF regeneration caused by GPF inlet temperature exceeding 500°C. EC dominates filter-collected OC without a GPF, while OC dominates EC with a GPF. Composite cycle CO, THC, and NOx emissions are reduced by the washcoat on the GPF but the low temperature location of the GPF does not make best use of the catalyzed washcoat. Cycle average pressure drop across the GPF ranged from 1.25 kPa in the 4-phase FTP to 4.64 kPa in the US06 but did not affect BTE or CO2 emissions in a measurable way in any test cycle.


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4914
Author(s):  
Frank Dorscheidt ◽  
Stefan Pischinger ◽  
Johannes Claßen ◽  
Stefan Sterlepper ◽  
Sascha Krysmon ◽  
...  

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%.


Author(s):  
Sumanth Reddy Dadam ◽  
Michiel Van Nieuwstadt ◽  
Allen Lehmen ◽  
Vinod Kumar Ravi ◽  
Vivek Kumar ◽  
...  

2021 ◽  
Author(s):  
Sanket Nipunage ◽  
David H. Moser ◽  
Jason Warkins ◽  
Angus Craig ◽  
Tinghong Tao

2021 ◽  
Author(s):  
Adhyarth Varia ◽  
Thiyagarajan Paramadhayalan ◽  
Anil Yadav ◽  
Rajesh Kannan ◽  
Rafat Hattar ◽  
...  

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