Application of Multi-Objective Genetic Algorithm (MOGA) for Design Optimization of Valve Timing at Various Engine Speeds

A.K.M. Mohiuddin, Ataur Rahman, and Yap Haw Shin (International Islamic University Malaysia)

This paper aims to demonstrate the effectiveness of Multi-Objective Genetic Algorithm Optimization and its practical application on the automobile engine valve timing. In the internal combustion engine valve timing plays a crucial role for improving engine performance and many large car manufacturers have developed powerful VVT (Variable Valve Timing) engines with many benefits for fuel saving, engine power, torque, low emissions, etc. In fact, valve train system is one of the critical key systems to design engines with better performances.

This study involved robust design optimization of CAMPRO 1.6L (S4PH) engine valve timing at various engine speeds using MOGA for future VVT system research and development. After completing the engine modeling in 1D software simulation environment, GT-Power, the result was validated with the experimental data or performance curves. From the collected data the engine brake power, brake torque and brake specific fuel consumption curves were plotted to be compared with the model simulation performance result. The experimental and simulation results were quite different, especially brake power and brake torque curves. Therefore, GT-Power was coupled with modeFRONTIER in order to calibrate the experimental and simulation results. GT-Power simulated engine performances, whereas modeFRONTIER performed the optimization and compared the outputs with target (experimental) data.