Overview of Multi-Degree-of-Freedom Modulation Techniques for Dual Active Bridge Converter
Author:
Affiliation:
1. Department of Electrical Engineering, Tsinghua University, Beijing, China
2. College of Electrical Engineering, Chongqing University, Chongqing, China
3. Faculty of Electrical and Electronic Engineering, Imperial College London, London, U.K
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Tsinghua-Toyota Joint Research Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/6245517/10336248/10274900.pdf?arnumber=10274900
Reference66 articles.
1. Overview of Dual-Active-Bridge Isolated Bidirectional DC–DC Converter for High-Frequency-Link Power-Conversion System
2. Deep Reinforcement Learning Based Input Voltage Sharing Method for Input-Series Output-Parallel Dual Active Bridge Converter in DC Microgrids
3. A Distributed Architecture Based on Microbank Modules With Self-Reconfiguration Control to Improve the Energy Efficiency in the Battery Energy Storage System
4. Deep Reinforcement Learning-Aided Efficiency Optimized Dual Active Bridge Converter for the Distributed Generation System
5. Overview and Comparison of Modulation and Control Strategies for a Nonresonant Single-Phase Dual-Active-Bridge DC–DC Converter
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