On Board Diagnosis of Internal Combustion Engines: A New Model Definition and Experimental Validation Università di Perugia, Italy

Format:

Conference/Event

Author/Creator:

Grimaldi, Carlo N., author.

Conference Name:

International Congress & Exposition (1997-02-24 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1997

Summary:

In recent years there has been an increasing worldwide effort to limit polluting emissions from road vehicles. The On Board II Diagnostic (OBD II) regulations adopted by California Air Resources Board (CARB) are among the most restrictive rules. They require on-board devices which monitor emission control systems in order to identify deterioration or malfunction of components.For automotive purpose, the high cost of achieving hardware redundancy can be reduced by substituting software redundancy. This approach requires an engine model definition. In this work the application of the Artificial Neural Networks (ANNs) technology, is analyzed and validated by experiments. First model has been tested under varying load conditions with very encouraging results

Notes:

Vendor supplied data

Publisher Number:

970211

Access Restriction:

Restricted for use by site license