Multi-objective cooperation optimization research on dynamic response and energy loss of high-speed solenoid valve for diesel engine injector

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-11-21 DOI:10.3233/jae-230099

Zhiqing Yu, Jianhui Zhao, Rongqiang Wei

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引用次数: 0

Abstract

The dynamic response and operational reliability of high-speed solenoid valve (HSV) for diesel engine injector are the main indicators to measure their performance. At high-frequency, the eddy current energy and Joule energy generated by the HSV will be converted into heat, which has a significantimpact on the service life of HSV. The optimization of HSV involves the interaction between energy loss and the dynamic response of HSV. To optimize the HSV dynamic response time considering energy loss, the HSV work process simulation model was established in this paper, and the model was verified based on armature lift experimental data. Without changing the structural parameters of the HSV, the four parameters of electroconductibility, spring stiffness, damping coefficient, and coil resistance were selected as the key parameters affecting the dynamic response and energy loss. The response surface models (RSMs) of opening response time, closing response time, eddy current energy and Joule energy of the HSV were constructed by using the smoothing spline-analysis of variance method. The multi-objective cooperation optimization of HSV under the interaction of dynamic response characteristics and energy loss was completed by using non-dominated sorting genetic algorithms. After optimization, the opening and closing response times of HSV were reduced by 15.1% and 16.6% respectively, while the eddy current energy and Joule energy were reduced by 5.2% and 48.4% respectively. In this paper, the dynamic response and energy loss were jointly optimized. The presented results provide theory instruction for multi-objective cooperative optimization of HSV.

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柴油机喷油器高速电磁阀动态响应和能量损失的多目标协同优化研究

柴油发动机喷油器高速电磁阀（HSV）的动态响应和运行可靠性是衡量其性能的主要指标。在高频情况下，HSV 产生的涡流能和焦耳能会转化为热能，对 HSV 的使用寿命产生重大影响。HSV 的优化涉及能量损失与 HSV 动态响应之间的相互作用。为了在考虑能量损失的情况下优化 HSV 的动态响应时间，本文建立了 HSV 工作过程仿真模型，并根据电枢升降实验数据对模型进行了验证。在不改变 HSV 结构参数的前提下，选取电导率、弹簧刚度、阻尼系数和线圈电阻四个参数作为影响动态响应和能量损失的关键参数。利用平滑样条线方差分析法构建了 HSV 的打开响应时间、关闭响应时间、涡流能和焦耳能的响应面模型（RSM）。利用非支配排序遗传算法完成了动态响应特性和能量损失交互作用下 HSV 的多目标协同优化。优化后，HSV 的开合响应时间分别缩短了 15.1% 和 16.6%，涡流能和焦耳能分别降低了 5.2% 和 48.4%。本文对动态响应和能量损失进行了联合优化。这些结果为 HSV 的多目标协同优化提供了理论指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.