Genetic Algorithm-Based Design Optimization of Electromagnetic Valve Actuators in Combustion Engines

被引：17

作者：

Lee, Seung Hwan ^{[1
]}

Yi, Hwa Cho ^{[2
]}

Han, Kyuyoung ^{[3
]}

Kim, Jin Ho ^{[2
]}

机构：

[1] Korea Aerosp Univ, Sch Aerosp & Mech Engn, Goyangsi 412791, Gyeonggido, South Korea

[2] Yeungnam Univ, Dept Mech Engn, Gyongsan 712749, Gyeongbuk, South Korea

[3] Quinsta Technol, Torrance, CA 90505 USA

来源：

ENERGIES | 2015年 / 8卷 / 11期

关键词：

electromagnetic engine valve actuator; finite element analysis; genetic algorithm; optimization; EXTENDED KALMAN FILTER; OBSERVER;

D O I：

10.3390/en81112352

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this research, the design of a new electromagnetic engine valve in the limited space of combustion engine is optimized by multidisciplinary simulation using MATLAB and Maxwell. An electromagnetic engine valve actuator using a permanent magnet is a new actuator concept for overcoming the inherent drawbacks of the conventional solenoid-driven electromagnetic engine valve actuator, such as high power consumption and so on. This study aims to maximize the vibration frequency of the armature to reduce the transition time of the engine valve. The higher performance of the new actuator is demonstrated by dynamic finite element analysis.

引用

页码：13222 / 13230

页数：9

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