Approximation and Control of the Engine Torque Using Neural Networks DaimlerChrysler

Format:

Book

Conference/Event

Author/Creator:

Müller, Rainer, author.

Conference Name:

SAE 2000 World Congress (2000-03-06 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2000

Summary:

This paper describes the approximation of the engine torque of an SI-engine using recurrent neural networks. As modern engine control units today are based on engine torque management, there is a need for an accurate determination of the produced engine torque. Since direct measurements of this value are not possible in series applications due to resulting high costs, a fast and accurate algorithm for the approximation of these values from other sensor signals has to be found. Dynamic neural networks are a promising method to fulfill these requirements

Notes:

Vendor supplied data

Publisher Number:

2000-01-0929

Access Restriction:

Restricted for use by site license