基于响应面模型的喷油器电磁阀动态响应特性优化研究  

Optimization study on dynamic response characteristics of solenoid valve used in fuel injector based on RSM

作　　者：张贺鲲 张振东[2] ZHANG Hekun;ZHANG Zhendong(School of Automotive Engineering,Suzhou Vocational Institute of Industrial Technology,Suzhou 215104;School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093)

机构地区：[1]苏州工业职业技术学院汽车工程学院,江苏苏州215104 [2]上海理工大学机械工程学院,上海200093

出　　处：《机械设计》2024年第10期143-150,共8页Journal of Machine Design

基　　金：国家自然科学基金资助项目(51275309)

摘　　要：针对喷油器电磁阀动态响应性能优化问题,文中选取包括衔铁长度、线圈匝数、线圈电阻及弹簧预紧力在内的喷油器电磁阀关键参数作为优化变量。基于Box-Behnken试验设计和Ansoft电磁场仿真模型,建立电磁阀动态响应时间的多项式响应面模型(RSM)。以该响应面模型为基础,结合多目标粒子群优化算法(MOPSO)对所选的电磁阀关键参数进行匹配优化,得出Pareto最优解集,通过仿真和试验对所选优化方案的有效性进行验证。研究结果表明:优化后喷油器电磁阀的开启滞后时间和关闭滞后时间均有所缩短,分别缩短了9.8%和18.7%。In this article,in order to optimize the dynamic response characteristics of the solenoid valve used in the fuel injector,the four key parameters including the armature length,coil turns,coil resistor and spring preload are selected as the design variables.Firstly,the Box-Behnken experimental design and the Ansoft electromagnetic simulation model are used to set up the quadrate polynomial response surface model(RSM),which can approximately describe the relationship between the dynamic response time and the design variables.Then,based on this RSM model,multi-objective particle swarm optimization(MOPSO)is introduced to optimize the key parameters and work out the Pareto solution.Finally,it is verified that this optimal scheme is effective through a series of simulation and experiment.The results indicate that after optimization,the opening delay time and the closing delay time of the solenoid valve used in the fuel injector reduce by 9.8%and 18.7%respectively.

关 键 词：电磁阀 喷油器 动态响应特性 多目标粒子群优化算法 响应面模型 

分 类 号：U464.136[机械工程—车辆工程]