In the past, the validity of an automotive technological solution could be confirmed or refuted only by realizing the prototype and performing a large number of experimental tests, with a consequent significant cost and time-consuming process.The fluid dynamic simulation supports the always indispensable experimental activity and allows to reduce significantly the number of tests which is required to validate any automotive technology.Thanks to fluid dynamic computational codes, it’s possible to evaluate the performances of a new technological solution already before the physical implementation; by doing in this way the prototype will then be built only if analysis provided successful results.It’s important to highlight that fluid dynamic simulation doesn’t only allow to speed up the engines development times, but also allows to evaluate thermodynamic quantities which are not experimentally measurable.Focuses of study of my thesis work are the development of a calibration methodology for Three Pressure Analysis in Spark Ignition Engines, and automatization of the same process.TPA is an analysis which is performed in the one-dimensional computational code GT-Power and it’s a fundamental step for predictive combustion model SI-Turb calibration, in fact it’s executed to assess gas exchange and trapped conditions (Trapping ratio and Residual fraction) that will be later used to calibrate SI-Turb through a “Measured+Predicted” analysis in a closed volume engine model