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

• المؤلفون الرئيسيون: Li, Xinze, Pou, Josep, Dong, Jiaxin, Lin, Fanfan, Wen, Changyun, Mukherjee, Suvajit, Zhang, Xin
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Engineering::Computer science and engineering; Artificial Intelligence; Experimental Augmentation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/172335
• المؤسسة: Nanyang Technological University

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...