Marcello Babbi
Data-Driven Approach for Diesel Engine Soot Emissions Modelling.
Rel. Carlo Novara, Ilario Gerlero. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2021
Abstract
Nowadays, control systems development within the automotive industry is not only evolving rapidly for evergreen cost reduction. On one side, emissions regulatory pressure is increasing more now than ever. Also, more aggressive competing market are pushing for shorter Time-to-Market for a new product. Thus, all those points are translated into significantly more complex control systems and additional degrees of freedom in the optimization control parameters. So, with such a complicated system, a costly and time-consuming engine calibration process is needed. To move part of the development process in a virtual test bench, an Automotive Diesel ICE Virtual Calibration has been introduced.
However, to obtain such a calibration virtual tool, an accurate engine model is needed
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