A Survey on Multi-Active Bridge DC-DC Converters: Power Flow Decoupling Techniques, Applications, and Challenges

Autor: Peyman Koohi, Alan J. Watson, Jon C. Clare, Thiago Batista Soeiro, Patrick W. Wheeler

Publikováno v: Energies, Vol 16, Iss 16, p 5927 (2023)

Multi-port DC-DC converters are a promising solution for a wide range of applications involving multiple DC sources, storage elements, and loads. Multi-active bridge (MAB) converters have attracted the interest of researchers over the past two decade

Externí odkaz: https://doaj.org/article/3c97a8344b344d1ea8c72f6c50679fa7

A Hardware-Based Bidirectional Power Flow Decoupling Approach for Multi-Active-Bridge Converters

Autor: Peyman Koohi, Alan J. Watson, Thiago Batista Soeiro, Jon C. Clare, Marco Rivera, Prasanth Venugopal, Patrick W. Wheeler

Publikováno v: 2023 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2023, 1-7
STARTPAGE=1;ENDPAGE=7;TITLE=2023 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2023

Cross-coupling effect and complicated control are the main drawbacks in multi-port structures such as multi-active bridge (MAB) converters. This paper discusses existing solutions for decoupling power flow in the MAB and proposes a new strategy. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4dd3d2d64041463c98ecde204d152d6
https://doi.org/10.1109/esars-itec57127.2023.10114906

A New Asymmetric Cascaded Multilevel Converter Topology With Reduced Voltage Stress and Number of Switches

Autor: Fernando Martin, Rahim Samanbakhsh, Federico Martin Ibanez, Peyman Koohi

Publikováno v: IEEE Access, Vol 9, Pp 92276-92287 (2021)

This paper presents a new structure of a multilevel inverter with fewer components, which is suitable for renewable energy sources and industrial loads applications. The structure has three unequal input sources and ten switches that can generate a 1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed7a4280febf965e8a50bb379363741c
https://doi.org/10.1109/access.2021.3092691

GMDH Neural Networks - Based Modeling of Variable Power Inductor

Autor: Rahim Samanbakhah, Parham Mohammadi, Federico Martin Ibanez, Peyman Koohi

In this paper, the Group Method of Data Handling (GMDH) type of neural networks is used for the inductance calculation of variable inductors. The relation between the inductance of the inductor in the linear and nonlinear regions is investigated, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cb25c162c892d825a569c882b74f49d

High Frequency Transformer Design for Specific Static Magnetising and Leakage Inductances Using Combination of Multi-Layer Perceptron Neural Networks and FEM Simulations

Autor: Rahim Samanbakhsh, Federico Martin Ibanez, Peyman Koohi, Parham Mohammadi

Publikováno v: 2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG).

Power industry is evolving toward high density power and therefore high frequency applications. Converters with low switching losses based on soft switching have been developed. In many of these converters, the transformers that are used, should have

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e9c44624a873ee7bc461fb32692d0f59
https://doi.org/10.1109/pedg.2019.8807492