Artificial Neural Networks Approach for Reduced RMS Currents in Triple Active Bridge Converters

Ibrahim, Ahmed A.; Zilio, Andrea; Younis, Tarek; Biadene, Davide; Caldognetto, Tommaso; Mattavelli, Paolo

doi:10.1109/iecon49645.2022.9968804

Cited by 6 publications

(8 citation statements)

References 25 publications

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“…The work in [67] proposes a normalization design approach for the series-connected inductors in a three-port MAB converter. The work in [19] analyzes the leakage inductance in two-winding and three-winding transformers, and concludes, to have equal and tuned leakage inductances in an MWHFT, cores with symmetrical winding configurations such as toroidal cores are more appropriate, hence, the need for auxiliary series-connected inductors can be eliminated [99,118,127,146].…”

Section: Topology Of the Mab Convertermentioning

confidence: 99%

“…In the work in [11] a deep learning-based algorithm is implemented, and is trained by measurement data. Similarly in [146], an artificial neural network (ANN) is trained to determine the optimal inner phase shifts. Although modelfree approaches are robust, they are not a general unified method to study and analyze the operating principles of the MAB converter, and they can be considered black-box approaches that bypass modelling and design complexities.…”

Section: Modelling Approaches To Derive Power Flow Relationshipsmentioning

confidence: 99%

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

et al. 2023

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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 decades due to their potential advantages such as high power density, high transfer ratio, and galvanic isolation, for example, compared to other solutions. However, the coupled power flow nature of MAB converters makes their control implementation difficult, and due to the multi-input, multi-output (MIMO) structure of their control systems, a decoupling control strategy must be designed. Various control and topology-level strategies are proposed to mitigate the coupling effect. This paper discusses the operating principles, applications, methods for analyzing power flow, advanced modulation techniques, and small signal modelling of the MAB converter. Having explained the origin of cross-coupling, the existing power flow decoupling methods are reviewed, categorized, and compared in terms of effectiveness and implementation complexity.

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Section: Topology Of the Mab Convertermentioning

confidence: 99%

Section: Modelling Approaches To Derive Power Flow Relationshipsmentioning

confidence: 99%

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

et al. 2023

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“…However, such a technique cannot be used to determine the expression of the inductor current in the time domain. To make the RMS current easier to calculate in the time domain, the intelligent optimization algorithm may be of potential utility [19][20][21][22][23][24]. In some recent studies [19][20][21], researchers used particle swarm optimization and a genetic algorithm to calculate the phase shift angle of DAB to optimize the RMS value of the inductor current and the current Single-phase shift control (SPS) is the most basic control strategy of a TAB-DCER.…”

Section: Introductionmentioning

confidence: 99%

An Efficiency Improvement Strategy for Triple-Active-Bridge-Based DC Energy Routers in DC Microgrids

Meng,

Duan,

Sha

et al. 2024

Electronics

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A triple-active bridge (TAB) can be used as a power conversion unit in a three-port DC energy router (DCER) such as a triple-active bridge-based DC energy router (TAB-DCER). The operational loss of a TAB can be seen as a key factor affecting the efficiency of a TAB-DCER. However, the RMS value of the inductor current of the TAB-DCER increases under single-phase shift (SPS) control, and this greatly increases the system operating losses. The use of phase-shifted plus PWM (PS-PWM) control can reduce the RMS value of the inductor current, but its mathematical model is complex, and involves difficult calculations. To address this problem, in the study reported here, we developed an optimal control strategy for the RMS value of the inductor current based on TAB-DCER. First, the working principle of a TAB-DCER under PS-PWM control was analyzed, and a circuit decomposition model was established. Second, the operating modes under PS-PWM control were analyzed, and corresponding expressions of port power and the RMS value of the inductor current were obtained. Third, an optimized mathematical model of the sum of squares of the RMS value of the inductor current of the TAB-DCER was constructed. Finally, a genetic algorithm was used to solve the mathematical model and derive the optimal phase shift angle; this resulted in a lower RMS value of the inductor current in the TAB-DCER and reduced the system operating losses. The simulation and experimental results show that the TAB-DCER used in the present study can reduce operating losses, improve system efficiency, and deliver coordinated power control.

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“…These modulation strategies primarily employ key concepts for calculating optimum modulation variables, including fundamental component analysis (FCA) [15], time domain analysis (TDA) [23]- [25], frequency domain analysis (FDA) [22], [26], [27], and generalized harmonic approximation (GHA) [28]- [30]. Besides these analytical approaches, alternative methods tackle the complexity of modeling multiple modulation variables by adopting datadriven (DD) approaches, as in [31]- [34], while others utilize model-free strategies based on an online-measured cost functions [35], [36].…”

mentioning

confidence: 99%

“…On a different note, the utilization of artificial intelligence solutions, for DABs and TABs, as in [32]- [34], exhibits promising potential for the implementation of MPSM schemes in QAB converters and may remain feasible with the condition of more extensive data collection campaigns.…”

mentioning

confidence: 99%

Model-Free Online Four-Dimensional Ripple Correlation Control for Loss Optimization of Isolated Quad-Active Bridge Converters

Ibrahim,

Caldognetto,

Biadene

et al. 2024

IEEE Trans. Transp. Electrific.

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Isolated multi-port converters offer the ability to connect multiple sources and loads operating at different power and voltage levels at their ports, providing galvanic isolation and shared magnetics as benefits. Nevertheless, challenges are present in these converters, primarily due to ports coupling, a high number of modulation variables, and the overall modeling complexity. This paper explores the operation of the dc-dc quadactive bridge converter (QAB) and introduces an optimization approach using an online model-free four-dimensional ripple correlation control (4D-RCC). A fundamental component analysis (FCA) of the QAB is conducted first, resulting in a decoupling matrix that ensures effective closed-loop control for each port independently. Subsequently, the 4D-RCC method is applied to the QAB, allowing online optimization of the converter's overall efficiency. The validation of these analytical findings and the optimization strategy is presented through PLECS simulation results and experimental results obtained from a converter prototype rated 5 kW.

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Artificial Neural Networks Approach for Reduced RMS Currents in Triple Active Bridge Converters

Cited by 6 publications

References 25 publications

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

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

An Efficiency Improvement Strategy for Triple-Active-Bridge-Based DC Energy Routers in DC Microgrids

Model-Free Online Four-Dimensional Ripple Correlation Control for Loss Optimization of Isolated Quad-Active Bridge Converters

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