Bridge Converter Research Articles

Magnetic Integration for a Dual Active Bridge Converter Planar Transformer with Accurate Leakage Inductances Estimation

Magnetic Integration for a Dual Active Bridge Converter Planar Transformer with Accurate Leakage Inductances Estimation

A Hybrid Phase-Frequency Control of Dual Active Bridge Converters for Hold-Up Time Extension in More Electric Aircrafts Applications

A Hybrid Phase-Frequency Control of Dual Active Bridge Converters for Hold-Up Time Extension in More Electric Aircrafts Applications

Fault-Tolerant Topology of Dual Active Bridge Converter for On-Board Charger in Electric Vehicles

Fault-Tolerant Topology of Dual Active Bridge Converter for On-Board Charger in Electric Vehicles

Current-Fed Dual Active Bridge Converter With Asymmetric Three-Phase Transformer

Current-Fed Dual Active Bridge Converter With Asymmetric Three-Phase Transformer

Current Driven Bi-Frequency Resonant Dual Active Bridge Converter for Optimal Battery Charging

Current Driven Bi-Frequency Resonant Dual Active Bridge Converter for Optimal Battery Charging

Multiple Active Bridge Converter Controlled by a Feed-Forward Compensator

Multiple Active Bridge Converter Controlled by a Feed-Forward Compensator

Transient DC Bias Suppression for Three-level Dual Active Bridge Converter

Transient DC Bias Suppression for Three-level Dual Active Bridge Converter

Parallel AC-Link Connection of Current-Fed Dual Active Bridge Converters

Parallel AC-Link Connection of Current-Fed Dual Active Bridge Converters

Power Decoupling Enhancement of a Triple Active Bridge Converter With Feedforward Compensation Based on Model Predictive Control and Fuzzy Logic Controller in DC Microgrid Systems

Power Decoupling Enhancement of a Triple Active Bridge Converter With Feedforward Compensation Based on Model Predictive Control and Fuzzy Logic Controller in DC Microgrid Systems

Bidirectional Converter System in Dual Active Bridge Topology for a Hydrogen Tank

The paper presents a Dual Active Bridge (DAB) converter operating as an interface between the LiFePo4 battery and the fuel cell/hydrogen generator. The hydrogen tank can increase the stored energy of the battery system. Among the main requirements for a converter is the need to transfer power of up to 10 kW and operate with widely changing voltages on both sides of the converter. The design of the power electronic part and passive components of the converter is deeply discussed. Next, the influence of the wide voltage range on the operation of the converter is depicted, including its impact on power losses and current values. Different topological modifications for power loss reduction are presented and experimentally verified. Finally, a simple modification of the control system, giving the possibility of increasing efficiency, is briefly presented.

An Effective SST-FLC for Mitigation of Reactive Power Compensation of DFIG Based Wind Energy Conversion System

As wind-derived energy is increasingly incorporated into interconnected energy networks, this research attempts to control reactive power and regulates the voltages of wind energies. Since wind energy is volatile, it will generate unstable power and voltages. The reactive powers control of wind energy and faults on the grid is becoming more essential. One of a power system’s most crucial characteristics, it has a big impact on the stability of the whole thing. In terms of high-switching-frequency energy electronics generators, solid-state transformers (SST) may perform reactive power correction in WFs. The solid-state transformers suggested here connect wind farms powered by double-fed induction generators to the grids in place of energy transformers with real controllers in a conventional arrangement. The dual-active bridge converters and fuzzy logic controllers are both built into the solid-state transformers architecture. Power transmission between both sources of power can be accomplished using bidirectional DC–DC converters in either way. Modernized grid applications are the most promising ones for solid state transformers and increase the efficiency up to 96.61% with 0.91 Power factor of the entire power generation system with bit error rate of 0.2%. This will reduce the cost, improves the system’s efficiency, and also improves the system’s performance.

A quick demagnetization approach for low torque ripple in three‐phase switched reluctance motor drive system for electric vehicle applications

SummaryElectric vehicles (EVs) have gained a forward approach for achieving the low carbon economy and green transportation. Switched reluctance (SR) motor‐based propulsion mechanisms have been popularly used for EVs due to the wide speed range capability. The conventional phase current regulation technique does not give the satisfactory reduction of torque ripple in SR motor drive, particularly for automotive applications. To overcome the issue, a frontend boost converter (FEBC) is proposed to realize the quick excitation and demagnetization. Initially, the problems associated with the conventional asymmetric half bridge converter are investigated at various levels of phase current. The various operating modes of proposed drive system with FEBC are explained in detail. The proposed FEBC has the significant benefit of being able to provide variable boosting voltages based on the dynamic behavior of the SR motor. The phase voltages are increased during the fast magnetization and demagnetization modes due to the inclusion of FEBC, and hence, quick magnetization and demagnetization have been achieved. The proposed FEBC drive system has been simulated through the Matlab Simulink toolbox. The experimental results are also carried out in order to validate the simulation results.

Analysis, Modeling and Cascade Operation of Wind Energy Fed Dual Active Bridge Converter Operating in Extended Phase Shift and Single Phase Shift Modes: A Comparative Study

In this work, cascade control of wind energy conversion System (WECS) fed Dual Active Bridge (DAB) converter is presented. The Permanent Magnet Synchronous Generator (PMSG) is used to feed the DAB. The real time wind speed data of Muppandal, Tamilnadu, India is fed to the PMSG. The DAB is operated in Extended Phase Shift (EPS) and Single-Phase Shift (SPS) control modes. An outer voltage controller in cascade with an inner current controller is used for closed loop operation of the DAB. The proposed controller is tested for small wind speed variations (13 m/s to 10 m/s) with a step load change and wide changes in wind speed (13 m/s to 8 m/s) accompanied with a step load change. DAB controls the power flow from the WECS to resistive load and its power carrying capability when controlled via the proposed controller is exhibited in the presented work. The proposed configuration controlled via the new cascade EPS controller draws lower power (100 Watts) and offers superior efficiency (85.10%) when compared with cascade SPS controlled microgrid configuration. The cascade controller is tested in MATLAB/Simulink environment and a prototype of DAB is developed in lab for which the cascade controller is tested through the TI-Piccolo-F280049 microcontroller.

Control method based on real–imaginary decomposition at the switching frequency for multiple active bridge converters

AbstractIsolated multiple port DC/DC converters, such as the Multiple Active Bridge (MAB) converter, have many recent applications, such as interconnection between grids, isolated uninterruptible power sources (UPSs) and electric vehicle chargers. MAB converter is an attractive solution from the point of view of the hardware because of its symmetry and its capability to be extended to any number of bridges with a moderate number of components. However, the main challenge of this converter is the control method in order to achieve independent control between the different ports and to minimize recirculating currents. For that reason, three‐port power converters have been already investigated, but many improvements can be done for a larger number of ports. This paper proposes to use a Fourier decomposition for the main power signals to separate their real and imaginary parts. As the signals work at the switching frequency, this decomposition is developed with analog electronics. Based on that, a general control method for regulating the power at the different ports is presented using the first harmonic component, which delivers most of the power. In this proposal, two nested control loops ensure accuracy for the DC power flow. Simulation and experimental results validate the proposal.

A Model Predictive Power Control Scheme for PV Inverter and Battery Energy Storage System for a Microgrid

In recent decades, there has been a substantial surge in the adoption of renewable energy systems (RESs), particularly photovoltaic systems (PVs). However, the increasing integration of PV systems into distribution networks has exposed limitations in traditional control methods, such as cascaded linear control with PID controllers. These limitations manifest in dynamic response, power regulation capability, and adaptability to varying operating conditions. Voltage fluctuations arising from intermittent PV output have become a significant concern. The primary aim of this study is to develop a Model Predictive Control (MPC) scheme capable of generating a control signal based on a cost function. The study also seeks to validate the effectiveness of MPC under diverse scenarios. Additionally, an energy storage system, represented by a battery, is incorporated to support the PV system during periods of low power output. The chosen methodology involves using a Dual Active Bridge converter for charging and discharging the batteries. Including an LCL filter in the design significantly reduces THD from 51% to 2.62%. When comparing the response to changing linear loads, MPC demonstrates faster performance than DQ control, with a response time ahead of 0.23 seconds.

Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter With Full ZVS Range and Optimal Efficiency

Dual active bridge (DAB) converter is the key enabler in many popular applications such as wireless charging, electric vehicle and renewable energy. ZVS range and efficiency are two significant performance indicators for DAB converter. To obtain the desired ZVS and efficiency performance, modulation should be carefully designed. Hybrid modulation considers several single modulation strategies to achieve good comprehensive performance. Conventionally, to design a hybrid modulation, harmonic approach or piecewise approach is used, but they suffer from timeconsuming model building process and inaccuracy. Therefore, an artificial-intelligence-based hybrid extended phase shift (HEPS) modulation is proposed. Generally, the HEPS modulation is developed in an automated fashion, which alleviates cumbersome model building process while keeping high model accuracy. In HEPS modulation, two EPS strategies are considered to realize optimal efficiency with full ZVS operation over entire operating ranges. Specifically, to build data-driven models of ZVS and efficiency performance, extreme gradient boosting (XGBoost), which is a state-of-the-art ensemble learning algorithm, is adopted. Afterwards, particle swarm optimization with state-based adaptive velocity limit (PSO-SAVL) is utilized to select the best EPS strategy and optimize modulation parameters. With 1 kW hardware experiments, the feasibility of HEPS has been verified, achieving optimal efficiency with maximum of 97.1% and full-range ZVS operation.

Effect of Phase Shift Definition on Power Characterization of Isolated DC–DC Converter Under PWM Plus Phase Shift Modulation

PWM plus phase shift (PPS) modulation is a popular modulation technique for the current fed dual active bridge (CFDAB) converter. Power transfer characteristics for any modulation technique are important for converters. However, in the literature, different power characteristics of CFDAB are presented for PPS modulation. This disparity in power transfer behavior creates confusion and ambiguity to the readers. This brief reveals the reason for such disparity. This is primarily due to the definition of the phase shift considered. When the phase shift is considered between the rising edges of high frequency voltages, asymmetric power transfer characteristics are obtained. On the contrary, symmetric power transfer characteristics are obtained if phase shift is considered between the mid point of high level of high frequency voltage signals. Thus the latter provides useful features and universal conditions for power reversal and peak power transmission individually. Steady state power under different modulation is obtained from unified model of CFDAB. The analytical results and experimental investigations are in agreement with each other.

Research on control strategy of dual active full bridge converter based on deep deterministic strategy gradient

In order to cope with the need for fast and adaptive voltage regulation in the face of large-scale disturbance in future smart grid EV grid-connected converters, a control strategy based on deep reinforcement learning is proposed in this paper. For electric vehicle grid-connected dual active bridge (DAB) DC–DC converter, a deep deterministic strategy gradient (DDPG) reinforcement learning intelligent controller based on an actor-critic architecture is designed. Through real-time online learning and training by collecting a large amount of system data, the intelligent controller can automatically adjust the power parameters of the DAB converter to ensure that the DC converter has strict stability in the face of various system disturbances. Simulation results show that the control strategy is effective. This research provides an innovative and feasible solution, which has important practical application value to the voltage regulation of electric vehicle grid-connected converters.

Overview of Multi-Degree-of-Freedom Modulation Techniques for Dual Active Bridge Converter

Overview of Multi-Degree-of-Freedom Modulation Techniques for Dual Active Bridge Converter

Research on the output voltage control of the Dual active bridge converter

in order to make the dual active bridge DC / DC converter output voltage stability, for the single shift phase control mode load disturbance, the input voltage disturbance affect the output voltage, puts forward a closed loop based on MATLAB self-regulation control, the control for a certain range of disturbance to maintain the output voltage stability effect is particularly obvious. This paper mainly introduces the working principle of DAB converter under single-shift phase modulation (SPS) and analyzes the topological structure of the circuit. Finally, the simulation model of the converter closed-loop control system is built on the simulink platform in Matlab, and the PID parameters are determined by using the self-regulation function to realize the pressure stabilizing output.