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Model-Free Predictive Synthesis Performance Optimization of DAB Converters Based on an Ultra-Local Model.

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Title: Model-Free Predictive Synthesis Performance Optimization of DAB Converters Based on an Ultra-Local Model.
Authors: Wang, Luan1 (AUTHOR), Qiu, Guoqiang1,2 (AUTHOR), Chi, Bowen1 (AUTHOR), Liu, Dejun2 (AUTHOR) dejunliu@beihua.edu.cn, Cheng, Yanming1 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 10, p2421. 21p.
Subject Terms: *Electric current converters, *Predictive control systems, *Phase modulation, *Microgrids, *Power electronics, *Mathematical models, *Lagrange multiplier
Abstract: The dual-active-bridge (DAB) converter is the core component of the DC micro-grid system; it has the advantages of topological structure symmetry, high efficiency, and high-power density. Model predictive control (MPC) is often employed to improve the dynamic response characteristics of the system, but its strong parameter dependence is a key factor limiting the development of MPC. Therefore, a model-free predictive control (MFPC) method combining an ultra-local model with model predictive control is proposed to solve the problem of strong dependence of traditional MPC on system model parameters. Firstly, establish the ultra-local mathematical model of the DAB converter. The system's lumped disturbances are identified using the residual prediction method and substituted into the discrete model of the system at the next time step to achieve model-free prediction. Secondly, a minimum back-flow power constraint is added to the cost function to improve the steady-state performance of the converter. Thirdly, in the extended phase shift modulation, the Lagrange multiplier method (LMM) is proposed to reduce the current stress, ultimately achieving the collaborative optimization of the comprehensive performance of the DAB. Finally, a simulation model is built using MATLAB/Simulink, and compared with traditional control methods, the voltage ripple has been reduced by 51.3%, 89.1%, and 85.1%, respectively; the current stress significantly decreases both when the output voltage reference value changes and when the load resistance changes abruptly, and both can basically achieve zero back-flow power operation. The validity and superiority of the proposed strategy have been verified. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194141536
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Model-Free Predictive Synthesis Performance Optimization of DAB Converters Based on an Ultra-Local Model.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Luan%22">Wang, Luan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qiu%2C+Guoqiang%22">Qiu, Guoqiang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chi%2C+Bowen%22">Chi, Bowen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Dejun%22">Liu, Dejun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> dejunliu@beihua.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Yanming%22">Cheng, Yanming</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2421. 21p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Electric+current+converters%22">Electric current converters</searchLink><br />*<searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Phase+modulation%22">Phase modulation</searchLink><br />*<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+electronics%22">Power electronics</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br />*<searchLink fieldCode="DE" term="%22Lagrange+multiplier%22">Lagrange multiplier</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The dual-active-bridge (DAB) converter is the core component of the DC micro-grid system; it has the advantages of topological structure symmetry, high efficiency, and high-power density. Model predictive control (MPC) is often employed to improve the dynamic response characteristics of the system, but its strong parameter dependence is a key factor limiting the development of MPC. Therefore, a model-free predictive control (MFPC) method combining an ultra-local model with model predictive control is proposed to solve the problem of strong dependence of traditional MPC on system model parameters. Firstly, establish the ultra-local mathematical model of the DAB converter. The system's lumped disturbances are identified using the residual prediction method and substituted into the discrete model of the system at the next time step to achieve model-free prediction. Secondly, a minimum back-flow power constraint is added to the cost function to improve the steady-state performance of the converter. Thirdly, in the extended phase shift modulation, the Lagrange multiplier method (LMM) is proposed to reduce the current stress, ultimately achieving the collaborative optimization of the comprehensive performance of the DAB. Finally, a simulation model is built using MATLAB/Simulink, and compared with traditional control methods, the voltage ripple has been reduced by 51.3%, 89.1%, and 85.1%, respectively; the current stress significantly decreases both when the output voltage reference value changes and when the load resistance changes abruptly, and both can basically achieve zero back-flow power operation. The validity and superiority of the proposed strategy have been verified. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19102421
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 2421
    Subjects:
      – SubjectFull: Electric current converters
        Type: general
      – SubjectFull: Predictive control systems
        Type: general
      – SubjectFull: Phase modulation
        Type: general
      – SubjectFull: Microgrids
        Type: general
      – SubjectFull: Power electronics
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Lagrange multiplier
        Type: general
    Titles:
      – TitleFull: Model-Free Predictive Synthesis Performance Optimization of DAB Converters Based on an Ultra-Local Model.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Wang, Luan
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            NameFull: Qiu, Guoqiang
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            NameFull: Chi, Bowen
      – PersonEntity:
          Name:
            NameFull: Liu, Dejun
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            NameFull: Cheng, Yanming
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          Dates:
            – D: 15
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 19961073
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              Value: 19
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Energies (19961073)
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