Approximation and Control of the Engine Torque Using Neural Networks
2000-01-0929
03/06/2000
- Event
- Content
- 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.
- Pages
- 7
- 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.