Combustion Control for Diesel Engines - Saggese, Raffaele
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The development of increasingly sophisticate control systems has allowed to increase year after year the Internal Combustion Engine performances and perceived quality (NVH, emission, fuel economy etc.). The most complex subsystem in the engine control strategy is the one managing the fuel combustion. This is a composite phenomenon which is driven, from one side, by the injection strategy (number of injection, timing, fuel quantity), and from the other by the charging characteristics (air pressure, O2 fraction, air temperature). Most of the current control strategies use a simple map based…mehr

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Produktbeschreibung
The development of increasingly sophisticate control systems has allowed to increase year after year the Internal Combustion Engine performances and perceived quality (NVH, emission, fuel economy etc.). The most complex subsystem in the engine control strategy is the one managing the fuel combustion. This is a composite phenomenon which is driven, from one side, by the injection strategy (number of injection, timing, fuel quantity), and from the other by the charging characteristics (air pressure, O2 fraction, air temperature). Most of the current control strategies use a simple map based approach to determine the setpoint required at the injection timing; nevertheless, from what said above it is easy to understand how a large number of parameters should be considered in order to correct required timing in order to get the demanded combustion phasing. Therefore, in the last years, the maps needed to define injection setpoint have increased in size and number, with a huge impact on the time and effort required for calibration and on the memory needed in the controller. In this monograph, the possibility to introduce a model based combustion control approach is explored.
Autorenporträt
Dr. Raffaele Saggese has obtained his PhD in Mechatronics in 2011. Currently he is a Researcher at Laboratory of Mechatronics of Politecnico di Torino (Italy). His interests are focused on Automatic Control, rapid prototyping and modeling and simulation of dynamic systems.