Browse Publications Technical Papers 2019-01-1184
2019-04-02

Development of an Alternative Predictive Model for Gasoline Vehicle Particulate Matter and Particulate Number 2019-01-1184

The Particulate Matter Index (PMI) is a helpful tool which provides an indication of a fuel’s sooting tendency. Currently, the index is being used by various laboratories and OEMs as a metric to understand the gasoline fuels impact on both sooting found on engine hardware and vehicle out emissions. This paper will explore a new method that could be used to give indication of the sooting tendency of the gasoline range fuels, called the Particulate Evaluation Index (PEI), and provide the detailed equation in its initial form. In addition, the PEI will be shown to have a good correlation agreement to PMI. The paper will then give a detailed explanation of the data used to develop it. Initial vehicle PM/PN data will also be presented that shows correlations of the indices to the vehicle response.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Performance of Next Generation Gasoline Particulate Filter Materials under RDE Conditions

2019-01-0980

View Details

TECHNICAL PAPER

Fuel Effects on Particulate Matter Emissions Variability from a Gasoline Direct Injection Engine

2018-01-0355

View Details

TECHNICAL PAPER

Evaluation of Emissions from Light Duty Trucks with and without the Use of a Gasoline Particulate Filter

2019-01-0971

View Details

X