高速电磁阀能量损耗的敏感性分析与多目标优化  

Sensitivity analysis and multi-objective optimization of energy loss in high-speed solenoid valves

作　　者：赵建辉[1] 于志清 魏荣强 ZHAO Jianhui;YU Zhiqing;WEI Rongqiang(School of Power and Energy Engineering,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学动力与能源工程学院,黑龙江哈尔滨150001

出　　处：《哈尔滨工程大学学报》2025年第3期458-466,共9页Journal of Harbin Engineering University

基　　金：国家自然科学基金项目(52061135203).

摘　　要：针对高速电磁阀因涡流能量和焦耳能量产生热负荷,从而显著影响其工作耐久性的问题,本文提出了一种基于响应面预测模型的能量损耗参数敏感性分析及多目标优化方法。本文建立并验证了包含电流反馈的高速电磁阀动态响应仿真模型,构建了涡流能量和焦耳能量的响应面预测模型。基于该模型,进行了电导率、弹簧刚度、阻尼系数及电阻等参数对能量损耗的敏感性分析,并利用非支配排序遗传算法开展了多目标优化研究。研究结果表明:电导率、电阻和弹簧刚度是涡流能量的重要敏感参数,电阻和电导率则是焦耳能量的关键敏感参数。经过优化后,高速电磁阀的涡流能量降低了6.31%,焦耳能量降低了49.75%。本文方法和模型可以在不改变高速电磁阀几何结构参数的前提下,有效实现电磁阀能量损耗的多目标优化。A sensitivity analysis of energy loss parameters and a multi-objective optimization method based on a response surface prediction model are proposed to address the thermal load issues caused by eddy current energy and joule energy in high-speed solenoid valves(HSVs),which significantly affect their durability.A simulation model of the HSV dynamic response with current feedback was established and validated.The response surface prediction model for eddy current and joule energy was constructed,allowing for sensitivity analysis of parameters such as conductivity,spring stiffness,damping coefficient,and resistance concerning energy loss.Multi-objective optimization studies were performed using a non-dominated sorting genetic algorithm.The results indicate that conductivity,resistance,and spring stiffness are significant sensitive parameters for eddy current energy,whereas resistance and conductivity are critical for joule energy.After optimization,eddy current energy was reduced by 6.31%and joule energy by 49.75%.The proposed approach can effectively achieve multi-objective optimization of energy loss without altering the HSV geometry.

关 键 词：高速电磁阀 涡流能量 焦耳能量 能量损耗 敏感性分析 响应面法 遗传算法 多目标优化 

分 类 号：TK423[动力工程及工程热物理—动力机械及工程]