RÉSUMÉ. Afin d’améliorer la recherche multilingue dans le moteur de recherche Sinequa Engine, nous avons intégré les connaissances multilingues du service Sensagent au module de requêtes du moteur de recherche Sinequa Engine. L’interface développée propose une extension de la requête aux choix de l’utilisateur par traduction des différents mots dans les langues sélectionnées. Pour limiter le gr...

In turbocharged engines with wastegate the exhaust pressure can change rapidly. Two methods to estimate the exhaust manifold pressure are compared for diagnosis of wastegate and turbocharger of a spark-ignited engine. One relies on the first law of thermodynamics and produces changes in exhaust manifold pressure. The second uses a model of the mass of remaining exhaust gases in the cylinder and...

Laser ignition (LI) has been shown to offer many potential benefits compared to spark ignition (SI) for improving the performance of internal combustion (IC) engines. This paper outlines progress made in recent research on laser ignited IC engines, discusses the potential advantages and control opportunities and considers the challenges faced and prospects for its future implementation. An expe...

J. Piątkowski, The Silesian University of Technology, Faculty of Materials Science and Metallurgy, Katowice, Poland The paper presents chosen properties and microstructure of AlSi17Cu5Mg alloy as future material for casting pistons in automotive industry. Tests were conducted to elaborate technology of preparation, assessment of crystallisation parameters and shaping the primary structure of th...

Neural network architectures are proposed to model and control the Spark-Ignition (SI) engine idle speed. Static and dynamic multi-layer neural networks are used to develop plant models and plant inverse function models. A neural network is trained to learn the system’s input-output relationship. Another is trained to model the inverse relationship of the plant and is included in the controller...

With development of fast modern computers, it has become possible to extend model predictive control (MPC) method to automotive engine control systems, which is traditionally applied to plants with dynamics slow enough to allow computations between samples. In this paper MPC based on an adaptive neural network model is attempted for air fuel ratio (AFR), in which the model is adapted on-line to...