Modeling and Advanced Control of Dual-Active-Bridge DC–DC Converters: A Review

Shao, Shuai; Chen, Linglin; Shan, Zhenyu; Gao, Fei; Chen, Hui; Sha, Deshang; Dragičević, Tomislav

doi:10.1109/tpel.2021.3108157

Cited by 153 publications

(22 citation statements)

References 93 publications

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“…In-depth analyses of DAB converters can be found in [9], [25], and [26]. On the other hand, according to the authors in [3] and [8], the DAB converter is considered a first-order system. The reduced-order model [25], [27] has been proved to be a good compromise between complexity and accuracy compared with other models, like the improved reducedorder model [28], the generalized average model [29], and discrete-time model [30].…”

Section: Sps Modulation-based Deadbeat Controlmentioning

confidence: 99%

“…Furthermore, the size and volume of a DAB converter are reduced by using leakage inductance and high-frequency transformers. For the purpose of controlling the output voltage of the DAB converter, many prevailing modulation methods have been performed, like single phase-shift (SPS), extended phase-shift (EPS), dual phase-shift (DPS), or triple phase-shift (TPS) [3], [4].…”

Section: Introductionmentioning

confidence: 99%

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Deadbeat Control With Bivariate Online Parameter Identification for SPS-Modulated DAB Converters

Duong

Choi

2022

IEEE Access

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Deadbeat control is considered an efficient method of controlling dual active bridge (DAB) converters among the different control methods presented in recent years. The conventional deadbeat control is heavily reliant on the precise values of the system model parameters. However, in DAB converters, system model parameters such as series inductance and output capacitance suffer from mismatches due to operating conditions, manufacturing tolerance, and aging. Thus, the inevitable result is degradation in the steady-state and dynamic performance of the output voltage. In order to compensate for this drawback of deadbeat control, this study proposes an adaptive online parameter identification approach for DAB converters operating under single phase-shift (SPS) modulation. From the matrix form of linear equations in deadbeat control, the leastsquares analysis (LSA) approach is utilized to solve the solution by a simple 2-by-2 matrix inverse calculation. Thus, series inductance and output capacitance are identified straightforwardly. Meanwhile, the predicted value of the phase-shift ratio is updated using sampled measurement values in deadbeat control after every sampling step, which can control the output voltage. The benefits of the proposed algorithm are demonstrated by theoretical analysis, simulation, and experimental results under a variety of parameter mismatches and operational circumstances.

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Section: Sps Modulation-based Deadbeat Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deadbeat Control With Bivariate Online Parameter Identification for SPS-Modulated DAB Converters

Duong

Choi

2022

IEEE Access

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“…22,[26][27][28] The DPC method is a simple yet effective control method which provides a better transient and steady-state performance. 29 Various phase-shift modulation schemes such as dual phase-shift, triple phase-shift, and extended phase-shift can be incorporated with the DPC method to reduce the current stress and provide higher efficiency. The common control methods reported in recent times are compared and presented in Table 1 for the DAB converter.…”

Section: Introductionmentioning

confidence: 99%

“…The direct power control (DPC) schemes for the DAB converter are presented in previous works 22,26–28 . The DPC method is a simple yet effective control method which provides a better transient and steady‐state performance 29 . Various phase‐shift modulation schemes such as dual phase‐shift, triple phase‐shift, and extended phase‐shift can be incorporated with the DPC method to reduce the current stress and provide higher efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Selecting the reduced order average model provides a simple yet effective design for an enhanced dynamic and steady‐state response. Shao et al 29 compared various DAB modeling methods and suggested that the reduced order model are quite accurate for controller design and stability. The reason mentioned 29 for reduced order model is that the DAB is a first‐order system and inductor L k does not affect the DAB dynamic response.…”

Section: Introductionmentioning

confidence: 99%

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Integral sliding mode based direct power control of isolated DC‐DC converter for improved voltage regulation

Tiwary

Panda

et al. 2022

Circuit Theory & Apps

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This article presents an isolated bidirectional DC‐DC dual active bridge (DAB) converter with an integral sliding mode‐based direct power control (SM‐DPC). Maintaining the dc‐link stability and obtaining a robust control for the converter during sudden load change is a significant challenge. The sliding mode control is well known for its robustness, stability, and tracking performance. The sliding surface based on output voltage error is selected, while the proposed method utilizes the equivalent control approach to generate the power reference for the DAB converter. The direct power control provides an easy control method for the DAB converter as the output voltage depends on the transmitted power, governed by the phase shift angle of two H‐bridges of the converter. The proposed method enhances the steady‐state performance and renders a fast transient response under load change and input voltage variation. Moreover, the method avoids complicated converter modeling and utilizes the voltage dynamic equation and power transfer equation for the controller design. The controller performance and effectiveness are validated with experimental results for a 2‐kW DAB converter.

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A comparative study of FNN‐based dynamic sliding mode control for DC‐DC converters

Wang

Gao

Zhao

et al. 2022

Circuit Theory & Apps

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SummaryIn this paper, a dynamic sliding‐mode variable‐structure control (VSC) is proposed for the voltage tracking control for DC‐DC boost converters, combining with a type of fuzzy neural networks (FNNs) based on different membership functions. In terms of the uncertainties from parameter perturbations and unmodeled dynamics in the DC‐DC converter, the FNNs including, respectively, Gaussian membership functions and ellipsoidal‐type membership functions are employed to approximate the uncertainties. Based on an average model for the present converter, a novel dynamic VSC that is induced by an auxiliary dynamics of the duty cycle is designed, by exploring an ideal line sliding surface based on the reference inputs and the duty cycle for the converter. Under the basis of the adaptive FNN dynamic VSC law, the tracking error system of the DC‐DC boost converter is analyzed to be boundedly stable. Eventually, the validation and the superiority of the proposed dynamic VSC method are shown in some comparative simulations.

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Modeling and Advanced Control of Dual-Active-Bridge DC–DC Converters: A Review

Cited by 153 publications

References 93 publications

Deadbeat Control With Bivariate Online Parameter Identification for SPS-Modulated DAB Converters

Deadbeat Control With Bivariate Online Parameter Identification for SPS-Modulated DAB Converters

Integral sliding mode based direct power control of isolated DC‐DC converter for improved voltage regulation

A comparative study of FNN‐based dynamic sliding mode control for DC‐DC converters

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