Data-driven modeling with experimental augmentation for the modulation strategy of the dual-active-bridge converter

Data-driven modeling with experimental augmentation for the modulation strategy of the dual-active-bridge converter

For the performance modeling of power converters, the mainstream approaches are essentially knowledge-based, suffering from heavy manpower burden and low modeling accuracy. Recent emerging data-driven techniques greatly relieve human reliance by automatic modeling from simulation data. However, m...

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Bibliographic Details
Main Authors: Li, Xinze, Pou, Josep, Dong, Jiaxin, Lin, Fanfan, Wen, Changyun, Mukherjee, Suvajit, Zhang, Xin
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Engineering::Computer science and engineering
Artificial Intelligence
Experimental Augmentation
Online Access:https://hdl.handle.net/10356/172335

Internet

https://hdl.handle.net/10356/172335

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