Application of Digital Twin Concept in Condition Monitoring for DC-DC Converter

Yingzhou Peng; Huai Wang

doi:10.1109/ECCE.2019.8912199

Application of Digital Twin Concept in Condition Monitoring for DC-DC Converter

Yingzhou Peng, Huai Wang

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

32 Citations (Scopus)

Abstract

This paper presents a digital twin-based condition monitoring method for DC-DC power converters, which features non-invasive and without additional hardware. To demonstrate it, a buck converter is applied as a case study with theoretical analysis and experimental verification. The digital twin of the buck converter is established, which includes the power stage, sampling circuit, and close-loop controller. Particle Swarm Op-timization (PSO) algorithm is applied to minimize the difference between the digital twin and its physical counterpart. Compare to conventional methods, the proposed method is able to monitor the health indicators of the key components in the buck converter: capacitor and MOSFET, without adding extra measurement circuits. Moreover, because the digital twin is a replica of the physical buck converter, accessing to the internal buck converter is unnecessary, which is non-invasive.

Original language	English
Title of host publication	Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages	6
Publisher	IEEE Press
Publication date	Sept 2019
Pages	2199-2204
Article number	8912199
ISBN (Electronic)	9781728103952
DOIs	https://doi.org/10.1109/ECCE.2019.8912199
Publication status	Published - Sept 2019
Event	2019 IEEE Energy Conversion Congress and Exposition (ECCE) - Baltimore, United States Duration: 29 Sept 2019 → 3 Oct 2019

Conference

Conference	2019 IEEE Energy Conversion Congress and Exposition (ECCE)
Country/Territory	United States
City	Baltimore
Period	29/09/2019 → 03/10/2019

Series	IEEE Energy Conversion Congress and Exposition
ISSN	2329-3721

Keywords

Component
Digital twin
DC-DC
Health condition
Parameter identification

Access to Document

10.1109/ECCE.2019.8912199

AUB Link

Search for the material in Aalborg University Library's search engine

32 Citations
1 PhD thesis

Advanced Converter-level Condition Monitoring for Power Electronics Components
peng, Y., 2020, Aalborg Universitetsforlag. 107 p.
Research output: PhD thesis

Open Access
File

Cite this

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title = "Application of Digital Twin Concept in Condition Monitoring for DC-DC Converter",

abstract = "This paper presents a digital twin-based condition monitoring method for DC-DC power converters, which features non-invasive and without additional hardware. To demonstrate it, a buck converter is applied as a case study with theoretical analysis and experimental verification. The digital twin of the buck converter is established, which includes the power stage, sampling circuit, and close-loop controller. Particle Swarm Op-timization (PSO) algorithm is applied to minimize the difference between the digital twin and its physical counterpart. Compare to conventional methods, the proposed method is able to monitor the health indicators of the key components in the buck converter: capacitor and MOSFET, without adding extra measurement circuits. Moreover, because the digital twin is a replica of the physical buck converter, accessing to the internal buck converter is unnecessary, which is non-invasive.",

keywords = "Component, Digital twin, DC-DC, Health condition, Parameter identification",

author = "Yingzhou Peng and Huai Wang",

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series = "IEEE Energy Conversion Congress and Exposition",

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booktitle = "Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)",

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}

Peng, Y & Wang, H 2019, Application of Digital Twin Concept in Condition Monitoring for DC-DC Converter. in Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)., 8912199, IEEE Press, IEEE Energy Conversion Congress and Exposition, pp. 2199-2204, 2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore, Maryland, United States, 29/09/2019. https://doi.org/10.1109/ECCE.2019.8912199

Application of Digital Twin Concept in Condition Monitoring for DC-DC Converter. / Peng, Yingzhou; Wang, Huai.
Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, 2019. p. 2199-2204 8912199 (IEEE Energy Conversion Congress and Exposition).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

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N2 - This paper presents a digital twin-based condition monitoring method for DC-DC power converters, which features non-invasive and without additional hardware. To demonstrate it, a buck converter is applied as a case study with theoretical analysis and experimental verification. The digital twin of the buck converter is established, which includes the power stage, sampling circuit, and close-loop controller. Particle Swarm Op-timization (PSO) algorithm is applied to minimize the difference between the digital twin and its physical counterpart. Compare to conventional methods, the proposed method is able to monitor the health indicators of the key components in the buck converter: capacitor and MOSFET, without adding extra measurement circuits. Moreover, because the digital twin is a replica of the physical buck converter, accessing to the internal buck converter is unnecessary, which is non-invasive.

AB - This paper presents a digital twin-based condition monitoring method for DC-DC power converters, which features non-invasive and without additional hardware. To demonstrate it, a buck converter is applied as a case study with theoretical analysis and experimental verification. The digital twin of the buck converter is established, which includes the power stage, sampling circuit, and close-loop controller. Particle Swarm Op-timization (PSO) algorithm is applied to minimize the difference between the digital twin and its physical counterpart. Compare to conventional methods, the proposed method is able to monitor the health indicators of the key components in the buck converter: capacitor and MOSFET, without adding extra measurement circuits. Moreover, because the digital twin is a replica of the physical buck converter, accessing to the internal buck converter is unnecessary, which is non-invasive.

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KW - Digital twin

KW - DC-DC

KW - Health condition

KW - Parameter identification

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DO - 10.1109/ECCE.2019.8912199

M3 - Article in proceeding

T3 - IEEE Energy Conversion Congress and Exposition

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BT - Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)

PB - IEEE Press

T2 - 2019 IEEE Energy Conversion Congress and Exposition (ECCE)

Y2 - 29 September 2019 through 3 October 2019

ER -

Application of Digital Twin Concept in Condition Monitoring for DC-DC Converter

Abstract

Conference

Keywords

Access to Document

AUB Link

Fingerprint

Research output

Advanced Converter-level Condition Monitoring for Power Electronics Components

Cite this