A Hierarchical System of Models for The Optimal Design ofControl Strategies in Spark Ignition Automotive Engines

摘要

The structure of a hierarchical system of models for model based optimization and rapid prototypingof control strategies in automotive spark ignition engines is presented. A distributed and hybridmodeling approach has been considered in order to reach an acceptable level of precision withconventional computational resources and limited experimental effort. Different class of models havebeen used, ranging from black-box (regression and/or neural networks) to physical ones(thermo-chemical); mean value dynamical model are also considered for the simulation of transientengine-vehicle manoeuvres. The advantages of the mixed approach are reviewed and the critical roleplayed by the identification phase is discussed through a comparative analysis of the estimationprocedures adopted during model development and validation process.