Modelling the volumetric efficiency of ic engines: Parametric, non-parametric and neural techniques

✍ Scribed by G. De Nicolao; R. Scattolini; C. Siviero

• Publisher: Elsevier Science
• Year: 1996
• Tongue: English
• Weight: 938 KB
• Volume: 4
• Category: Article
• ISSN: 0967-0661
• DOI: 10.1016/0967-0661(96)00150-5

✦ Synopsis

The volumetric efficiency 01~) represents a measure of the effectiveness of an air pumping system, and is one of the most commonly used parameters in the characterization and control of four-stroke internal combustion engines. Physical models of "q~ require the knowledge of some quantities usually not available in normal operating conditions. Hence, a purely black-box approach is often used to determine the dependence of "qv upon the main engine variables, like the crankshaft speed and the intake manifold pressure. Various black-box approaches for the estimation of fly are reviewed, from parametric (polynomial-type) models, to non-parametric and neural techniques, like additive models, radial basis function neural networks and multi-layer perceptrons. The benefits and limitations of these approaches are examined and compared. The problem considered here can be viewed as a realistic benchmark for different estimation techniques.