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A study, for future applications, of a model-based Idle Speed Control (ISC) system for the L535 Lamborghini 6.2L-48 valve V12 gasoline engine is presented in this paper. Main features of the controller are: Real-time auto-adaptation; Synchronization of Throttle Angle (TA) opening with Spark Advance (SA) timing, through model-based Drive-by-Wire (DBW) control strategies; Auto-adaptive management of the absolute pressure levels in the two, completely separated, intake manifolds; Feed-forward compensation for known loads; Integrated Air-to-Fuel Ratio (AFR) control at idle. Design targets are: Idle speed error from the nominal value imperceptible by the driver, considering that this study is for a high performance engine; Emissions reduction; Minimization of the engine speed undershoot (overshoot) when applying (removing) unknown loads.

This paper presents the experimental work and the results obtained from the implementation of a transient fuel compensation algorithm for the 6.0-liter V12 high-performance engine that equips the Lamborghini Diablo vehicles. This activity has been carried out as part of an effort aimed at the optimization of the entire fuel injection control system. In the first part of the paper the tests for fuel film compensator identification are presented and discussed. In this phase the experimental work has been conducted in the test cell. An automatic calibration algorithm was developed to identify the well-known fuel film model X and τ parameters, so as to define their maps as a function of engine speed and intake manifold pressure. The influence of engine coolant temperature has been investigated separately; it will be soon presented together with the air dynamics compensation algorithm. In the second part of the paper, the performance of the fuel dynamics compensation algorithm is analyzed.

This paper presents the development of a model-based air/fuel ratio controller for a high performance engine that uses, in addition to other usual signals, the throttle angle to enable predictive air mass flow rate estimation. The objective of the paper is to evaluate the possibility to achieve a finer air/fuel ratio control during transients that involve sudden variations in the physical conditions inside the intake manifold, due, for example, to fast throttle opening or closing actions. The air mass flow rate toward the engine cylinders undertakes strong variation in such transients, and its correct estimation becomes critical mainly because of the time lag between its evaluation and the instant when the air actually enters the cylinders.

The objective of this paper is to describe the potential of an alternative method for engine misfire detection, whose main characteristic is the analysis of exhaust pressure pulsation. Its theoretical basis is that, when the combustion is regular, the exhaust valve openings of the various cylinders generate strong pressure pulses, that have similar amplitudes; when there is misfire in a cylinder, the relevant pressure pulse is substantially modified. So, in principle, the pressure pulsation profiles in the exhaust system, together with a phase reference obtained by a cam sensor, contain all “information” needed for misfire detection. The paper will introduce a powerful tool to extract this “information”, based on an algorithm whose main component is a Fourier Transform of the pressure signals acquired during the engine cycle.