Engine Model Implementation in Simulink Based on Mathematical Formulations

This engine model constructed in Simulink according to relevant mathematical formulations enables simulation and analysis of engine performance and behavior. By adjusting parameters and variables within the model structure - typically implemented through Simulink blocks like Gain, Transfer Functions, and Lookup Tables - engineers can further optimize engine design and operational strategies. The model incorporates core algorithms representing thermodynamic cycles and mechanical dynamics, helping engineers better understand engine working principles through visual block diagrams and simulation data. It provides clear guidance for improvement and optimization directions, such as tuning PID controllers for fuel injection systems or modifying combustion efficiency parameters. Through model simulation and testing scenarios - configurable via Simulink's Simulation Manager and Parameter Sweep tools - engineers can accurately predict engine performance and response under varying conditions. Thus, this Simulink-based engine model serves as a powerful tool for researching and advancing engine technology, with capabilities for code generation (using Simulink Coder) for real-time implementation and Hardware-in-the-Loop (HIL) testing.