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Full Description
This brief provides an overview on the most relevant nonlinear phenomena in internal combustion engines with a particular emphasis on the use of nonlinear circuits in their modelling and control.
The brief contains advanced methodologies —based on neural networks and soft-computing approaches among others— for the compensation of engine nonlinearities by using the combustion pressure signal and proposes several techniques for the reconstruction of this signal on the basis of different engine parameters, including engine-block vibration and crankshaft rotational speed. Another topic of the book is the diagnosis of the nonlinearities of injection systems and their balancing, which is a mandatory task for the new generation of gasoline direct injection engines.
The authors come from both industrial and academic backgrounds, so the brief represents an important tool both for researchers and practitioners in the automotive industry.
Contents
Introduction.- Nonlinear Phenomena in Internal Combustion Engines.- Non-Interfering Diagnostics for the Study of Thermo Fluid-Dynamic Processes in Combustion Engines.- Modelling of Particle Size Distribution in Internal Combustion Engines.- Diagnosis and Control of Combustion Engines Using Vibration Signals.- Pressure Signal Reconstruction In-Cylinder by Using Learning Circuits Modelling and Engine Control.- Gasoline Direct Injection: Identification and Compensation of Ballistic Phenomena.
