Article(id=1254362825711878972, tenantId=1146029695717560320, journalId=1254119036117037056, issueId=1254362823425974931, articleNumber=null, orderNo=null, doi=10.13788/j.cnki.cbgc.2026.03.11, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1756828800000, receivedDateStr=2025-09-03, revisedDate=1765728000000, revisedDateStr=2025-12-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1776993002545, onlineDateStr=2026-04-24, pubDate=1774368000000, pubDateStr=2026-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1776993002545, onlineIssueDateStr=2026-04-24, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1776993002545, creator=13701087609, updateTime=1776993002545, updator=13701087609, issue=Issue{id=1254362823425974931, tenantId=1146029695717560320, journalId=1254119036117037056, year='2026', volume='48', issue='3', pageStart='1', pageEnd='190', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1776993002036, creator=13701087609, updateTime=1776993258606, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1254363899764077151, tenantId=1146029695717560320, journalId=1254119036117037056, issueId=1254362823425974931, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1254363899764077152, tenantId=1146029695717560320, journalId=1254119036117037056, issueId=1254362823425974931, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=101, endPage=109, ext={EN=ArticleExt(id=1254362827901305667, articleId=1254362825711878972, tenantId=1146029695717560320, journalId=1254119036117037056, language=EN, title=DC-Link Capacitor Parameter Identification of Inverters Based on Digital Twin Method, columnId=1254362827737727808, journalTitle=Ship Engineering, columnName=Ship Electrical, Conductivity Detection Equipment and Automatic Control, runingTitle=null, highlight=null, articleAbstract=
[Purpose]

To enable accurate assessment and online diagnosis of the DC-link capacitor health state in neutral point clamped (NPC) three-level inverters,

[Method]

DC-side parameter identification with a focus on capacitor parameter degradation characteristics is investigated. To address the low accuracy and strong specificity of traditional capacitor-parameter identification methods, this paper proposes a digital-twin-based approach for DC-link capacitor identification in NPC three-level inverters. The method first analyzes the capacitor operating characteristics to determine the identification parameters, then builds a mathematical model and constructs a digital-twin NPC inverter using a fourth-order Runge-Kutta solver. A particle swarm optimization algorithm is employed to continuously update and refine the identification parameters until the digital twin matches the real system outputs.

[Result]

Simulation studies verify the effectiveness of the proposed capacitor-health identification method under various conditions and confirm the consistency between the digital-twin model and the physical system. Results show that the method accurately identifies capacitor values, equivalent series resistance, and related load parameters, with identification errors generally within 5%.

[Conclusion]

The research results provide a reference for the parameter identification of DC-side capacitors in inverters.

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[目的]

为实现中点钳位型(NPC)三电平逆变器直流侧电容健康状态的准确评估与在线诊断,

[方法]

针对直流侧电容参数退化特性,开展直流侧参数辨识研究。针对传统直流侧电容参数辨识方法精度低、泛化能力弱等问题,提出一种基于数字孪生的NPC三电平逆变器直流侧电容参数辨识方法。该方法首先分析逆变器直流侧电容的工作状态,确定待辨识的电容参数;其次引入相应的数学模型,采用4阶龙格-库塔(Runge-Kutta)法构建数字孪生NPC三电平逆变器;最后利用粒子群优化算法持续更新并优化数字孪生系统中相关参数的辨识,直至数字孪生系统与实际系统的输出基本一致。

[结果]

通过仿真试验,验证该方法在不同条件下对直流侧电容健康状态参数辨识的有效性以及数字孪生模型与实际模型的一致性。结果表明,该方法能较好地辨识出直流侧电容容值、电容等效串联电阻和相关负载参数,辨识误差基本保持在5%左右。

[结论]

研究结果为逆变器直流侧电容参数辨识提供一定参考。

, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=本刊已许可中国学术期刊(光盘版)电子杂志社在中国知网及其系列数据库产品中以数字化方式复制、汇编、发行、信息网络传播本刊全文,本刊著作权使用费与本刊稿酬一并支付;本刊所刊登文章均无知识产权争议,不涉及泄露国家秘密、技术秘密或商业秘密。作者向本刊提交文章发表的行为即视为同意我编辑部上述声明,文责自负。, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=ROZEywi5WxfwZdJ6JJmXjg==, magXml=f03L+j5pZye/v9ycxr2xQg==, pdfUrl=null, pdf=z273EPOQNo8j8rfiy8s/Yw==, pdfFileSize=1929872, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=A3gZt3i/NtQTJ7mADyY3iA==, mapNumber=null, authorCompany=null, fund=null, authors=

梁琨(1999—),男,硕士研究生。研究方向:船舶电气控制。

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梁琨(1999—),男,硕士研究生。研究方向:船舶电气控制。

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梁琨(1999—),男,硕士研究生。研究方向:船舶电气控制。

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基于数字孪生方法的逆变器直流侧电容参数辨识
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梁琨 , 陈琳 , 王文杰 , 李姗
船舶工程 | 船舶电气、探通导设备及自动控制 2026,48(3): 101-109
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船舶工程 | 船舶电气、探通导设备及自动控制 2026, 48(3): 101-109
基于数字孪生方法的逆变器直流侧电容参数辨识
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梁琨, 陈琳, 王文杰, 李姗
作者信息
  • 上海船舶设备研究所,上海 200031
  • 梁琨(1999—),男,硕士研究生。研究方向:船舶电气控制。

DC-Link Capacitor Parameter Identification of Inverters Based on Digital Twin Method
Kun LIANG, Lin CHEN, Wenjie WANG, Shan LI
Affiliations
  • Shanghai Marine Equipment Research Institute, Shanghai 200031, China
出版时间: 2026-03-25 doi: 10.13788/j.cnki.cbgc.2026.03.11
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[目的]

为实现中点钳位型(NPC)三电平逆变器直流侧电容健康状态的准确评估与在线诊断,

[方法]

针对直流侧电容参数退化特性,开展直流侧参数辨识研究。针对传统直流侧电容参数辨识方法精度低、泛化能力弱等问题,提出一种基于数字孪生的NPC三电平逆变器直流侧电容参数辨识方法。该方法首先分析逆变器直流侧电容的工作状态,确定待辨识的电容参数;其次引入相应的数学模型,采用4阶龙格-库塔(Runge-Kutta)法构建数字孪生NPC三电平逆变器;最后利用粒子群优化算法持续更新并优化数字孪生系统中相关参数的辨识,直至数字孪生系统与实际系统的输出基本一致。

[结果]

通过仿真试验,验证该方法在不同条件下对直流侧电容健康状态参数辨识的有效性以及数字孪生模型与实际模型的一致性。结果表明,该方法能较好地辨识出直流侧电容容值、电容等效串联电阻和相关负载参数,辨识误差基本保持在5%左右。

[结论]

研究结果为逆变器直流侧电容参数辨识提供一定参考。

NPC三电平逆变器  /  直流侧电容  /  参数辨识  /  数字孪生  /  粒子群算法
[Purpose]

To enable accurate assessment and online diagnosis of the DC-link capacitor health state in neutral point clamped (NPC) three-level inverters,

[Method]

DC-side parameter identification with a focus on capacitor parameter degradation characteristics is investigated. To address the low accuracy and strong specificity of traditional capacitor-parameter identification methods, this paper proposes a digital-twin-based approach for DC-link capacitor identification in NPC three-level inverters. The method first analyzes the capacitor operating characteristics to determine the identification parameters, then builds a mathematical model and constructs a digital-twin NPC inverter using a fourth-order Runge-Kutta solver. A particle swarm optimization algorithm is employed to continuously update and refine the identification parameters until the digital twin matches the real system outputs.

[Result]

Simulation studies verify the effectiveness of the proposed capacitor-health identification method under various conditions and confirm the consistency between the digital-twin model and the physical system. Results show that the method accurately identifies capacitor values, equivalent series resistance, and related load parameters, with identification errors generally within 5%.

[Conclusion]

The research results provide a reference for the parameter identification of DC-side capacitors in inverters.

NPC three-level inverter  /  DC-Link capacitor  /  parameter identification  /  digital twin  /  particle swarm optimization
梁琨, 陈琳, 王文杰, 李姗. 基于数字孪生方法的逆变器直流侧电容参数辨识. 船舶工程, 2026 , 48 (3) : 101 -109 . DOI: 10.13788/j.cnki.cbgc.2026.03.11
Kun LIANG, Lin CHEN, Wenjie WANG, Shan LI. DC-Link Capacitor Parameter Identification of Inverters Based on Digital Twin Method[J]. Ship Engineering, 2026 , 48 (3) : 101 -109 . DOI: 10.13788/j.cnki.cbgc.2026.03.11
2026年第48卷第3期
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doi: 10.13788/j.cnki.cbgc.2026.03.11
  • 接收时间:2025-09-03
  • 首发时间:2026-04-24
  • 出版时间:2026-03-25
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  • 收稿日期:2025-09-03
  • 修回日期:2025-12-15
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    上海船舶设备研究所,上海 200031
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2种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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