Temporal Modeling for Power Converters With Physics-in-Architecture Recurrent Neural Network-Reference-Cited by-同舟云学术

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Temporal Modeling for Power Converters With Physics-in-Architecture Recurrent Neural Network

Published:2024-11 Issue:11 Volume:71 Page:14111-14123
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Li Xinze¹^ORCID,Lin Fanfan²^ORCID,Wang Huai³^ORCID,Zhang Xin⁴^ORCID,Ma Hao⁴^ORCID,Wen Changyun¹^ORCID,Blaabjerg Frede³^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

2. University of Illinois Urbana-Champaign Institute, Zhejiang University, Hangzhou, China

3. Department of Energy Technology, Aalborg University, Aalborg East, Denmark

4. College of Electrical Engineering, Zhejiang University, Hangzhou, China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Projects of International Cooperation and Exchanges NSFC

Zhejiang Provincial Natural Science Foundation of China

Delta Electronics Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/41/10639500/10463542.pdf?arnumber=10463542

Reference21 articles.

1. Power electronics - key technology for renewable energy systems

2. Industrial Electronics for Electric Transportation: Current State-of-the-Art and Future Challenges

3. Design Considerations for High-Voltage Insulated Gate Drive Power Supply for 10-kV SiC MOSFET Applied in Medium-Voltage Converter

4. Design Methodology for Symmetric CLLC Resonant DC Transformer Considering Voltage Conversion Ratio, System Stability, and Efficiency

5. Closed-Form Implicit Models for Efficient Simulation of Power Electronics

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