Development of an Alternative Predictive Model for Gasoline Vehicle Particulate Matter and Particulate Number General Motors LLC

Format:

Book

Conference/Event

Author/Creator:

Chapman, Chapman, author.

Contributor:

Geng, Pat

Pryor, Sophia

Winston-Galant, Mark

Conference Name:

WCX SAE World Congress Experience (2019-04-09 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2019

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2019-01-1184

Access Restriction:

Restricted for use by site license