基于EDA的开关电源健康状态评估方法研究

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (1): 185-191.

基于EDA的开关电源健康状态评估方法研究

叶雪荣, 陈岑, 王一行, 翟国富

哈尔滨工业大学电气工程系,哈尔滨 150001

收稿日期:2013-12-25 修回日期:2014-04-20 发布日期:2020-09-02
作者简介:叶雪荣(1981-),男,浙江人,博士,副教授,硕导,研究方向为电器及电子系统的可靠性设计、测试与试验;陈岑(1992-),男,黑龙江人,博士生,研究方向为电子产品退化状态评估及预测;王一行(1995-),男,山西人,硕士生,研究方向为电子产品故障预测。
基金资助:
国防科工局技术基础科研项目(JSJC2013603C021)

Methodology Research for Health Condition Assessment of Power Supply Based on Simulation

Ye Xuerong, Chen Cen, Wang Yixing, Zhai Guofu

Department of Electrical Engineering & Automation, Harbin Institute of Technology, Harbin 150001, China

Received:2013-12-25 Revised:2014-04-20 Published:2020-09-02

摘要/Abstract

摘要： 目前开关电源的预测与健康管理研究多基于某特定应力下的监测数据,其应力剖面固定,难以推广应用到应力随机组合的实际场合中。通过对所建立的高精度仿真模型中注入定量退化的方式,基于EDA技术开展了开关电源整体健康状态评估方法的研究。采用试验设计的方法,构建电源退化特征标准数据库,并采用最小二乘拟合方法,确定应力因素与系统输出的函数关系。进而可评估得到任意应力组合作用下电源的实际健康状态。某反激开关电源的实际健康状态评估结果表明了所提出的方法有效可用。

关键词: 开关电源, 健康状态评估, 试验设计, EDA技术

Abstract: Currently, the prognostics and health management research of switch mode power supply (SMPS) are mostly based on the field data with specified stress profile, which can hardly be adapted to the application in other stress condition. A methodology research for health condition assessment of power supply based on simulation was proposed. The highly precise model was created for the injection of the quantitative degradation parameters of components. The database containing degradation characteristics of power supply was created by using design of experiment. The functions between stress factors and system outputs were confirmed based on least square method. Thus the health condition of the device will be estimated whatever the stress is. The demonstration of a flyback power supply validates the accuracy and effectiveness of the proposed methodology.

Key words: switch mode power supply, health condition assessment, design of experiment, EDA technology

中图分类号:

TP391.9

叶雪荣, 陈岑, 王一行, 翟国富. 基于EDA的开关电源健康状态评估方法研究[J]. 系统仿真学报, 2015, 27(1): 185-191.

Ye Xuerong, Chen Cen, Wang Yixing, Zhai Guofu. Methodology Research for Health Condition Assessment of Power Supply Based on Simulation[J]. Journal of System Simulation, 2015, 27(1): 185-191.

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