Ivan Criscuolo was born in Salerno (Italy) on December 1st 1982. In 2005 he received the Bachelor’s degree in Mechanical Engineering from University of Salerno. In 2008 he received the Master degree cum Laude in Mechanical Engineering from University of Salerno. From 2008 to 2011 he was PhD student in Mechanical Engineering. In 2010 he was visiting scholar at the division of Vehicular Systems of the University of Linkoping - Institute of Technology where he was involved on a project concerning the development of a model based controller for the boost pressure in a SI engine equipped with a two stage turbocharging system. His research interests are: modeling and control of SI and CI engines, experimental investigation of exhaust emissions from automotive engines. From February 2012 he is junior researcher at Department of industrial Engineering - University of Salerno.
Abstract: Internal combustion engines for vehicle propulsion are more and more sophisticated due to increasingly restrictive environmental regulations. In case of heavy-duty engines, Compressed Natural Gas (CNG) fueling coupled with Three Way Catalyst (TWC) and Exhaust Gas Recirculation (EGR) can help in meeting the imposed emission limits and preventing from thermal stress of engine components. To cope with the new issues associated with the more complex hardware and to improve powertrain performance and reliability and after-treatment efficiency, the engine control strategies must be reformulated. The paper focuses on the steady-state optimization of control parameters for a heavyduty engine fueled by CNG and equipped with turbocharger and EGR. The optimization analysis is carried out to design EGR, spark timing and wastegate control, aimed at increasing fuel economy while reducing in-cylinder temperature to prevent from thermal stress of engine components. The engine is modeled by a 1-D commercial fluid-dynamic code for the simulation of intake and exhaust gas flow arrangement. In order to speed-up the computational time an empirical formulation based on the classical Wiebe function simulates the combustion process. Furthermore, an intensive identification analysis is performed to correlate Wiebe model parameters to engine operation and guarantee model accuracy and generalization even in case of high EGR rate. The optimization analysis is carried out by means of a cosimulation process in which the 1-D engine model is interfaced with a constrained minimization algorithm developed in the Matlab/Simulink® environment. In the paper, modeling approach and identification analysis are presented and the results of the experimental validation vs. measured data at the test bench are shown. Furthermore, the optimization results over a set of operating points belonging to the standard European Transient Cycle (ETC) are presented and discussed.
Abstract: Internal combustion engines for vehicle propulsion are more and more sophisticated due to increasingly restrictive environmental regulations. In case of heavy-duty engines, Compresed Naural Gas (CNG) fueling coupled with Three Way Catalyst (TWC) and EGR can help in meeting the imposed emission limits and preventing from thermal stress of engine components. To cope with the new issues associated with the more complex hardware and to improve powertrain performance and reliability and after-treatment efficiency, the engine control strategies must be reformulated. The paper focuses on engine control optimization for a heavy-duty engine fueled by CNG and equipped with turbocharger and EGR. Optimization analysis is carried out to design throttle, EGR, spark timing and waste-gate control, aimed at increasing fuel economy while reducing in-cylinder temperature to prevent from thermal stress of engine components.
The engine is modeled by a 1-D commercial fluid-dynamic code for the simulation of intake and exhaust gas flow arrangement. In order to speed-up the computational time an empirical formulation based on the classical Wiebe function simulates the combustion process. An intensive identification analysis is performed to correlate Wiebe model parameters to engine operation and guarantee model accuracy and generalization even in case of high EGR rate. In the paper, modeling approach and identification analysis are presented and the results of the experimental validation vs. measured data at the test bench are shown. Furthermore, the optimization results over a set of operating points belonging to the standard European Transient Cycle are presented and discussed.
