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DC-Link Capacitor Parameter Identification of Inverters Based on Digital Twin Method
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Kun LIANG, Lin CHEN, Wenjie WANG, Shan LI
Ship Engineering | 2026, 48(3) : 101 - 109
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Ship Engineering | 2026, 48(3): 101-109
Ship Electrical, Conductivity Detection Equipment and Automatic Control
DC-Link Capacitor Parameter Identification of Inverters Based on Digital Twin Method
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Kun LIANG, Lin CHEN, Wenjie WANG, Shan LI
Affiliations
  • Shanghai Marine Equipment Research Institute, Shanghai 200031, China
Published: 2026-03-25 doi: 10.13788/j.cnki.cbgc.2026.03.11
Outline
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[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
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
Year 2026 volume 48 Issue 3
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Article Info
doi: 10.13788/j.cnki.cbgc.2026.03.11
  • Receive Date:2025-09-03
  • Online Date:2026-04-24
  • Published:2026-03-25
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  • Received:2025-09-03
  • Revised:2025-12-15
Affiliations
    Shanghai Marine Equipment Research Institute, Shanghai 200031, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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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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