Neural Network Control of a Bi-Fuel Engine University of Saskatchewan

Format:

Conference/Event

Author/Creator:

Gnanam, G., author.

Conference Name:

SAE 2004 World Congress & Exhibition (2004-03-08 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2004

Summary:

This paper describes the design of an intelligent control strategy that would allow the conversion of a gasoline engine to a bi-fuel form with minimal alteration. Conversion of a conventional gasoline engine to a bi-fuel form is easy and can be achieved at a relatively low cost. By using a bi-fuel engine in vehicles, the advantages of both natural gas and gasoline can be exploited. When the natural gas tank empties, the vehicle can be operated on gasoline until it is refueled with natural gas.This paper describes an add-on control module that is developed and applied to an engine for bi-fuel operation. The control scheme uses neural networks and is capable of substantially improving the operation of a bi-fuel engine in terms of emissions. Simulation results are reported

Notes:

Vendor supplied data

Publisher Number:

2004-01-1360

Access Restriction:

Restricted for use by site license