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.
Approximation and Control of the Engine Torque Using Neural Networks
Sae Technical Papers
SAE 2000 World Congress ; 2000
2000-03-06
Conference paper
English
Approximation and control of the engine torque using neural networks
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