A Three-phase Dual Active Bridge Bidirectional ZVS DC/DC Converter

Zhang, Xuan; Huang, Shenghua; Guoyun, Ning

doi:10.1016/j.phpro.2012.02.022

Cited by 10 publications

(5 citation statements)

References 3 publications

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“…In Figure 9, the DC/DC inverter is composed of three single-phase half-bridge DC/DC topologies. The three-phase topology works with 120 • interleaving, and the low-voltage side (LVS) half-bridge has two functions: 1) As a boost inverter, which is implemented with a three-phase inductor and an LVS half-bridge; 2) Generating a high-frequency AC voltage [40].…”

Section: A Three-phase Active Bridge Zvs Bidirectional Dc/dc Invertermentioning

confidence: 99%

A Data-Driven-Based Fault Diagnosis Approach for Electrical Power DC-DC Inverter by Using Modified Convolutional Neural Network With Global Average Pooling and 2-D Feature Image

et al. 2020

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A novel convolutional neural network namely the modified CNN-GAP model is proposed for fast fault diagnosis of the DC-DC inverter. This method improves the model structure of the traditional CNN by using a global average pooling layer to replace the fully connected layer of 2∼3 layers. The improved CNN-GAP method mainly contains an input layer, a feature extraction layer, a global average pooling (GAP) layer, and a Softmax output layer. Firstly, the raw 1-D time-series data directly input into the input layer of the established CNN-GAP diagnosis model. The 2-D feature maps are reconstructed in the input layer. Secondly, the representative features are automatically extracted from the 2-D feature maps by using multiple convolutional layers and pooling layers. Thirdly, the dimension transformation and size compression of the output image of the feature extraction layer is completed by the GAP layer. Finally, the fault diagnosis result of the DC-DC inverter is automatically output in the Softmax output layer. The proposed method is used for diagnosing the open-circuit fault of the IGBT in the isolated DC-DC inverter. The proposed method is more accurate and effective than other mainstream intelligent diagnosis methods including the SVM, KNN, DNN, and traditional CNN. The experiment results show that the diagnostic accuracy is up to 99.95%, and the testing time can reduce by more than 15%. The improved CNN-GAP method could greatly reduce the model parameter quantity of the traditional CNN more than 80%, which is more suitable for rapid fault diagnosis in electronic devices. INDEX TERMS Intelligent fault diagnosis, data-driven, convolutional neural network, global average pooling, 2-D feature image, deep learning, DC-DC inverter, IGBT open-circuit fault.

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Section: A Three-phase Active Bridge Zvs Bidirectional Dc/dc Invertermentioning

confidence: 99%

A Data-Driven-Based Fault Diagnosis Approach for Electrical Power DC-DC Inverter by Using Modified Convolutional Neural Network With Global Average Pooling and 2-D Feature Image

et al. 2020

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“…By replacing the phase-shift inductor ′ with two equal inductors ( 2 ′ and 3 ′ ) connected in series with the secondary windings, the CTTbased ac equivalent circuit with three phase-shift inductors are derived and shown in Figure 1(b). The values of the three inductors that are used in this model are expressed as [21,22], Mode 1 operation is considered as an example to explore the operation of modified DAB converter with the Extended phase shift (EPS) control, and due to the symmetry, only three stages over the half switching are described.…”

Section: Proposed Circuit Topologymentioning

confidence: 99%

An improved closed loop hybrid phase shift controller for dual active bridge converter

Narasimha¹,

Salkuti

2020

IJECE

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In this paper, a new closed loop hybrid phase shift control is proposed for dual active bridge (DAB) converter with variable input voltage. The extended phase shift (EPS) control is applied when load gets heavy enough and the secondary side phase shift angle decreases to zero. When this modified DAB converter operates at light loads, the triple phase shift (TPS) modulation method is applied, and the added control freedom is the secondary phase shift angle between the two-secondary side switching legs. The hybrid phase shift control (HPS) scheme is a combination of EPS and TPS modulations, and it provides a very simple closed form implementation for the primary and secondary side phase shift angles. Depending on the application by changing the phase shift angles we can achieve Buck or Boost operation. A characteristic table feedback control method has been used for closed loop operation. By using 1D look up table the proposed DAB converter provides constant 400V for any given input voltage.

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“…In this section, the analysis of the 3P-BIDC operating waveforms are based-on soft-switching through the resonance between the snubber capacitor and transformer leakage inductances in each phase [12]. The authors of [21] assumed the commutations of current in the snubber capacitors to be instantaneous in the operating mode analysis.…”

Section: Operating Principles Based-on Phase-shift Modulationmentioning

confidence: 99%

“…The 3P-BIDC performs better than the single-phase BIDC when operated using the phase-shift modulation because the total input and output filter requirements are lower [11]. The switching stress is distributed in the 3P-BIDC to about 1/3 of the switching stress in the 1P-BIDC [12].…”

Section: Introductionmentioning

confidence: 99%

Low-load Efficiency Improvement of a Three-Phase Bidirectional Isolated DC-DC Converter (3P-BIDC) Via Enhanced Switching Strategy

Sharifuddin¹,

Tana²,

Akagi³

2018

IJET

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This paper presents the system design, operation and enhanced switching strategy of a three-phase bidirectional isolated dc-dc converter (3P-BIDC). The paper discusses the operating modes of the 3P-BIDC using phase-shift modulation (PSM), with analysis on its soft-switching characteristics. The phase-shift modulation is the simplest modulation technique that can be applied to the 3P-BIDC. However, it comes with the consequences of low efficiency performance in the low-load conditions. Therefore, this paper investigates the improvement in efficiency of the 3P-BIDC during low-load condition using an enhanced switching strategy combining burst-mode switching and phase-shift modulation. The model of a 700-V, 100-kW, 20-kHz 3P-BIDC and the enhanced switching strategy are verified via simulation using PSCAD. The simulation results shows that the combination of burst-mode and phase-shift modulation technique improves the efficiency of the 3P-BIDC at low-load conditions.

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A Three-phase Dual Active Bridge Bidirectional ZVS DC/DC Converter

Cited by 10 publications

References 3 publications

A Data-Driven-Based Fault Diagnosis Approach for Electrical Power DC-DC Inverter by Using Modified Convolutional Neural Network With Global Average Pooling and 2-D Feature Image

A Data-Driven-Based Fault Diagnosis Approach for Electrical Power DC-DC Inverter by Using Modified Convolutional Neural Network With Global Average Pooling and 2-D Feature Image

An improved closed loop hybrid phase shift controller for dual active bridge converter

Low-load Efficiency Improvement of a Three-Phase Bidirectional Isolated DC-DC Converter (3P-BIDC) Via Enhanced Switching Strategy

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