Development and application of predictive approaches for knock simulation in a Spark Ignition, high performance, hydrogen engine

The primary objective of this research is the development of a predictive framework capable of estimating knock intensity using a 1D fluid-dynamic model. While standard commercial tools such as GT-Power provide deterministic knock indices, these parameters often lack the physical transparency required for calibration and direct experimental correlation. By enabling the prediction of knock intensity, this work aims to bridge the gap between numerical simulations and test-bench measurements, ultimately reducing the number of experimental iterations required to identify the knock limit for a given engine calibration. The methodology is developed and validated using data from a high-performance spark-ignition (SI) gasoline engine. However, the broader objective is its extension to hydrogen-fueled (H₂) engines. Due to the unique combustion characteristics of hydrogen—such as high flame speeds and wide flammability limits—accurate predictive knock modeling represents a critical step in guiding hardware development and avoiding destructive operating conditions.