Optimization of Intake and Exhaust System of a Gasoline Engine Based on Genetic Algorithm
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.
Genetic Algorithm (GA) Penalty Function Optimization Engine Performance
Yang Xiaolong Huang Ming Liu Biao
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University, Changsha, China, 410082
国际会议
温州
英文
2100-2104
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）