Digital twin based monitoring and control for DC-DC converters

Zhongcheng Lei, Hong Zhou, Xiaoran Dai (), Wenshan Hu () and Guo-Ping Liu
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Zhongcheng Lei: Wuhan University
Hong Zhou: Wuhan University
Xiaoran Dai: Wuhan University
Wenshan Hu: Wuhan University
Guo-Ping Liu: Southern University of Science and Technology

Nature Communications, 2023, vol. 14, issue 1, 1-11

Abstract: Abstract 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.

Date: 2023
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DOI: 10.1038/s41467-023-41248-z

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