The objective of this thesis work is to develop a fast-running virtual engine combustion model, with the aim of estimating both performance and NVH indicators. A predictive model enables the forecast of the burn rate and, consequently, the exploration of the effects of calibration parameters on both performance and sound quality. This virtual engine model can generate pressure traces for all four cylinders, which can be easily processed for NVH implications. The model has been validated and calibrated using experimentally acquired measurements. A set of calibration settings have been varied during steady-state and run-up tests. During these tests, pressure traces and engine noise (captured through microphones) were also recorded.