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Digital twin based monitoring and control for DC-DC converters
The monitoring and control of DC-DC converters have become key issues since DC-DC converters are gradually playing increasingly crucial roles in power electronics applications such as electric vehicles and renewable energy systems. As an emerging and transforming technology, the digital twin, which...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497566/ https://www.ncbi.nlm.nih.gov/pubmed/37699873 http://dx.doi.org/10.1038/s41467-023-41248-z |
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author | Lei, Zhongcheng Zhou, Hong Dai, Xiaoran Hu, Wenshan Liu, Guo-Ping |
author_facet | Lei, Zhongcheng Zhou, Hong Dai, Xiaoran Hu, Wenshan Liu, Guo-Ping |
author_sort | Lei, Zhongcheng |
collection | PubMed |
description | The monitoring and control of DC-DC converters have become key issues since DC-DC converters are gradually playing increasingly crucial roles in power electronics applications such as electric vehicles and renewable energy systems. As an emerging and transforming technology, the digital twin, which is a dynamic virtual replica of a physical system, can potentially provide solutions for the monitoring and control of DC-DC converters. This work discusses the design and implementation of the digital twin DC-DC converter in detail. The key features of the physical and twin systems are outlined, and the control architecture is provided. To verify the effectiveness of the proposed digital twin method, four possible cases that may occur during the practical control scenarios of DC-DC converter applications are discussed. Simulations and experimental verification are conducted, showing that the digital twin can dynamically track the physical DC-DC converter, detect the failure of the physical controller and replace it in real time. |
format | Online Article Text |
id | pubmed-10497566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104975662023-09-14 Digital twin based monitoring and control for DC-DC converters Lei, Zhongcheng Zhou, Hong Dai, Xiaoran Hu, Wenshan Liu, Guo-Ping Nat Commun Article The monitoring and control of DC-DC converters have become key issues since DC-DC converters are gradually playing increasingly crucial roles in power electronics applications such as electric vehicles and renewable energy systems. As an emerging and transforming technology, the digital twin, which is a dynamic virtual replica of a physical system, can potentially provide solutions for the monitoring and control of DC-DC converters. This work discusses the design and implementation of the digital twin DC-DC converter in detail. The key features of the physical and twin systems are outlined, and the control architecture is provided. To verify the effectiveness of the proposed digital twin method, four possible cases that may occur during the practical control scenarios of DC-DC converter applications are discussed. Simulations and experimental verification are conducted, showing that the digital twin can dynamically track the physical DC-DC converter, detect the failure of the physical controller and replace it in real time. Nature Publishing Group UK 2023-09-12 /pmc/articles/PMC10497566/ /pubmed/37699873 http://dx.doi.org/10.1038/s41467-023-41248-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lei, Zhongcheng Zhou, Hong Dai, Xiaoran Hu, Wenshan Liu, Guo-Ping Digital twin based monitoring and control for DC-DC converters |
title | Digital twin based monitoring and control for DC-DC converters |
title_full | Digital twin based monitoring and control for DC-DC converters |
title_fullStr | Digital twin based monitoring and control for DC-DC converters |
title_full_unstemmed | Digital twin based monitoring and control for DC-DC converters |
title_short | Digital twin based monitoring and control for DC-DC converters |
title_sort | digital twin based monitoring and control for dc-dc converters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497566/ https://www.ncbi.nlm.nih.gov/pubmed/37699873 http://dx.doi.org/10.1038/s41467-023-41248-z |
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