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

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Abstrakt

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.
OriginalsprogEngelsk
TitelProceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)
Antal sider6
ForlagIEEE Press
Publikationsdatosep. 2019
Sider2199-2204
Artikelnummer8912199
ISBN (Elektronisk)9781728103952
DOI
StatusUdgivet - sep. 2019
Begivenhed2019 IEEE Energy Conversion Congress and Exposition (ECCE) - Baltimore, USA
Varighed: 29 sep. 20193 okt. 2019

Konference

Konference2019 IEEE Energy Conversion Congress and Exposition (ECCE)
LandUSA
By Baltimore
Periode29/09/201903/10/2019
NavnIEEE Energy Conversion Congress and Exposition
ISSN2329-3721

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Citationsformater

Peng, Y., & Wang, H. (2019). Application of Digital Twin Concept in Condition Monitoring for DC-DC Converter. I Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE) (s. 2199-2204). [8912199] IEEE Press. IEEE Energy Conversion Congress and Exposition https://doi.org/10.1109/ECCE.2019.8912199