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This thesis by Neda Nickmehr focuses on the system identification of an engine-load setup using a grey-box model, with applications in ride quality and misfire detection for passenger cars. It explores the importance of developing accurate vehicle models to improve comfort and reduce emissions, emphasizing the powertrain system's role in transferring engine torque. The research utilizes mathematical models based on experimental data to address torsional vibration in the powertrain subsystem. The study highlights challenges in parameter estimation and the significance of using informative data sets. The methodology includes simplification of model structures and validation against fresh data to ensure accurate predictions. Intended for researchers and professionals in automotive engineering, the work aims to enhance model-based system engineering practices.

System identification. --- Engineering models. --- System identification --- Engineering models