JITL based Fault Detection of DAB DC-DC Converter with EPS Control

被引：0

作者：

Zhang, Yu ^{[1
]}

Yang, Rui ^{[2
,3
]}

Wen, Huiqing ^{[3
]}

机构：

[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China

[2] Xian Jiaotong Liverpool Univ, Sch Adv Technol, Suzhou 215123, Peoples R China

[3] Xian Jiaotong Liverpool Univ, Res Inst Big Data Analyt, Suzhou 215123, Peoples R China

来源：

PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年

基金：

中国国家自然科学基金;

关键词：

Dual-Active-Bridge Converter; Just In Time Learning; Fault Detection; POWER; DIAGNOSIS; SYSTEM; RELIABILITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As the most important part of the power system, the reliability of dual-active-bridge (DAB) DC-DC converter determines the safe operation of equipment. Thus, this paper proposes a fault detection scheme based on just-in-time-learning (JITL) in DAB DC-DC converter with extended-phase-shift (EPS) control. The performance of the DAB DC-DC converter under the two different control methods are analyzed, and the faults in the primary circuit are detected using JITL method. The simulation model is established using Matlab and the experimental results are analyzed to verify the effectiveness of the method.

引用

页码：6208 / 6213

页数：6

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