Abstract
This thesis presents the development and calibration of a physics-based model for simulating the gas flow path in a turbocharged internal combustion engine. Built using MATLAB Simulink, the model serves as a plant model for Engine Control Unit (ECU) testing, specifically designed to replicate critical engine behaviors such as intake and exhaust dynamics and turbocharger performance. The model calibration was performed with SGE Circus, enabling a systematic tuning process that enhances model reliability and reduces potential calibration errors. Simulation results were analyzed across various load conditions, highlighting the model's ability to approximate real-world engine dynamics and respond to transient behaviors. Although initial validation demonstrates that the model's outputs align well with expected results, there is potential for further optimization. Future improvements could involve integrating advanced components like artificial neural networks to optimize computational efficiency. This work contributes to the understanding and control of gas flow in turbocharged engines, supporting further development in engine modeling and ECU testing.
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