Approximation and Control of the Engine Torque Using Neural Networks

Paper #:
  • 2000-01-0929

Published:
  • 2000-03-06
Citation:
Müller, R. and Schneider, B., "Approximation and Control of the Engine Torque Using Neural Networks," SAE Technical Paper 2000-01-0929, 2000, https://doi.org/10.4271/2000-01-0929.
Pages:
7
Abstract:
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.
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