Optimization of intake and exhaust system of a gasoline engine based on genetic algorithm
Xiaolong Yang, Ming Huang, Biao Liu · 2009
A genetic algorithm with a penalty function is used to optimize the intake and exhaust system of gasoline engine, whose middle range torque was deceased a lot due to the adding of a catalyst. First two GT-power models are built based on experimental results of the gasoline engine with/without catalyst. Then the intake pipe length and diameter and exhaust pipe length and diameter are chosen as the optimal variables. A genetic algorithm (GA) with two constrain conditions is used to search the optimal result, and a penalty function is added to solve the constrain conditions. This optimization process is done by a simulink model coupled with the GT-power models (SCG models). The final optimal result shows that the missing torque of the original engine can be well recovered. The GA model is a good optimization tool for the complex engine problem.