摘要
针对高压共轨电控喷油器关键结构参数对喷油器的响应特性影响深刻的特点,采用带精英策略的非支配性遗传算法NSGA-Ⅱ(non-dominated sorting genetic algorithm-Ⅱ),基于多目标多学科优化平台modeFRONTIER和液压仿真分析软件AMESim,以针阀开启延迟和关闭延迟为目标函数建立了多目标优化模型,对电控喷油器的关键结构参数进行多目标优化设计.结果表明:针阀开启延迟时间降低了16.7%,达到0.25ms;关闭延迟时间降低了15.2%,达到0.78ms.
The key structural parameters of the electronic controlled injector make a notable impact on the response time of the injector.This paper uses the non-dominated sorting genetic algorithm-Ⅱ（NSGA-Ⅱ）method to optimize the parameters of the injector.The optimization is based on the multi-objective optimization platform,modeFRONTIER,and utilizes the hydraulic simulation software AMESim.Aiming at the delay functions of the opening and closing of the nozzle,the multi-objective optimization model is established and the optimization design of injector’s key structural parameters is implemented.The results show that the delay of the nozzle opening is 0.25ms,which is reduced by 16.7%;while the delay of the closing is 0.78ms,which is reduced by 15.2%.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2010年第10期1160-1164,共5页
Transactions of Beijing Institute of Technology
基金
国家部委预研项目(40402030205)
关键词
高压共轨
电控喷油器
非支配性遗任算法-Ⅱ
多目标优化
high pressure common rail
electronic controlled injector
non-dominted genetic algorithm-Ⅱ（NSGA-Ⅱ）
multi-objective optimization
