High-Performance Boundary Control for NPC-DAB Converters: Multitrajectory Natural Switching Surface Derivation and Implementation

As the preferred topology for medium or high voltage applications, neutral-point-clamped dual-active-bridge (NPC-DAB) converters have recently received widespread attention. The main objectives of NPC-DAB converters include high steady-state efficiency, DC-bias elimination, fast dynamic characteristics, constant-power-load (CPL) stability, and midpoint voltage balance (MVB). NPC-DAB converters may also experience various complicated operating conditions, such as startup, sudden reference voltage and load change. Originating from the concept of natural switching surfaces (NSS), this article proposes a multi-trajectory NSS boundary control (MNBC) to address these issues for the first time. Firstly, the NSS mathematical models under various operating states of NPC-DAB converters were derived, laying a theoretical foundation for the proposed MNBC. With the proposed MNBC, elliptical and circular NSS will be used to flexibly adjust the dynamic trajectory of NPC-DAB converters in the geometric domain. Especially by switching the elliptical NSS, the charging and discharging states of capacitors in NPC-DAB converters can be changed without affecting the output waveform. This article provides a detailed analysis and derivation process of the proposed MNBC algorithm, as well as simulation and experimental evaluations. The results indicate that the algorithm performs well in terms of efficiency, dynamic response, and stability under various operating conditions.

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Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-05-01
DOI
https://doi.org/10.1109/tpel.2025.3560715
Citations
1
Primary Topic
Advanced DC-DC Converters
Type
article
Field-Weighted Citation Impact
0.73
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article

High-Performance Boundary Control for NPC-DAB Converters: Multitrajectory Natural Switching Surface Derivation and Implementation

Huiqing Wen, José Rodríguez, Peichao Xu, Shahamat Shahzad Khan et al.
1 citations
IEEE Transactions on Power Electronics
Advanced DC-DC Converters
0.73
article

High-Performance Boundary Control for NPC-DAB Converters: Multitrajectory Natural Switching Surface Derivation and Implementation

Huiqing Wen, José Rodríguez, Peichao Xu, Shahamat Shahzad Khan, Xu Han, Yong Yang, Yi Zhu, Jianliang Mao, Pan Wang, Lanbo Dai, Lin Jiang
article en
1 citations

Abstract

As the preferred topology for medium or high voltage applications, neutral-point-clamped dual-active-bridge (NPC-DAB) converters have recently received widespread attention. The main objectives of NPC-DAB converters include high steady-state efficiency, DC-bias elimination, fast dynamic characteristics, constant-power-load (CPL) stability, and midpoint voltage balance (MVB). NPC-DAB converters may also experience various complicated operating conditions, such as startup, sudden reference voltage and load change. Originating from the concept of natural switching surfaces (NSS), this article proposes a multi-trajectory NSS boundary control (MNBC) to address these issues for the first time. Firstly, the NSS mathematical models under various operating states of NPC-DAB converters were derived, laying a theoretical foundation for the proposed MNBC. With the proposed MNBC, elliptical and circular NSS will be used to flexibly adjust the dynamic trajectory of NPC-DAB converters in the geometric domain. Especially by switching the elliptical NSS, the charging and discharging states of capacitors in NPC-DAB converters can be changed without affecting the output waveform. This article provides a detailed analysis and derivation process of the proposed MNBC algorithm, as well as simulation and experimental evaluations. The results indicate that the algorithm performs well in terms of efficiency, dynamic response, and stability under various operating conditions.

IEEE Transactions on Power ElectronicsVol. 40(8)
University of Liverpool (GB), Suzhou University of Science and Technology (CN), San Sebastián University (CL), Soochow University (CN), Xi’an Jiaotong-Liverpool University (CN)
Openalex Percentile: Top 29%
Advanced DC-DC Converters
0.73
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