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Composite temperature control for solid oxide fuel cells under degradation effects: Integration of active disturbance rejection and model predictive control.

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Title: Composite temperature control for solid oxide fuel cells under degradation effects: Integration of active disturbance rejection and model predictive control.
Authors: Wu, Xiaolong1 (AUTHOR), Zhong, Yunsheng1 (AUTHOR), Li, Keye1 (AUTHOR), Xu, Yuanwu2 (AUTHOR), Chi, Bo3 (AUTHOR) chibo@hust.edu.cn, Peng, Jingxuan4 (AUTHOR), Li, Xi4 (AUTHOR)
Source: International Journal of Green Energy. 2026, Vol. 23 Issue 3, p742-758. 17p.
Subject Terms: *Solid oxide fuel cells, *Temperature control, Deterioration of materials, Mathematical models, Predictive control systems, Stability of linear systems
Abstract: To improve the temperature performance and reliability of solid oxide fuel cell (SOFC) systems under long-term material degradation effects, this paper proposes a novel control method based on precise modeling and composite control strategies. This study develops a comprehensive mechanistic model incorporating key component degradation mechanisms and designs a composite model predictive control – active disturbance rejection control (MPC-ADRC) to enhance system stability. The model considers the degradation equations of anode nickel particles coarsening, decreased electrolyte ionic conductivity, and metal interconnects oxidation. Subsequently, a two-input-two-output coupled control structure is established with safety temperature constraints. The proposed composite control strategy integrates the advantages of both MPC and ADRC: achieving minimal control deviation of outlet temperature, shortest adjustment time, and optimal inlet temperature control. Compared with individual MPC and ADRC methods, the composite control demonstrates comprehensive advantages in SOFC temperature control. These results provide valuable insights for developing more effective SOFC control systems.. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Green Energy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
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Header DbId: 8gh
DbLabel: GreenFILE
An: 190609428
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Composite temperature control for solid oxide fuel cells under degradation effects: Integration of active disturbance rejection and model predictive control.
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  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Xiaolong%22">Wu, Xiaolong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhong%2C+Yunsheng%22">Zhong, Yunsheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Keye%22">Li, Keye</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Yuanwu%22">Xu, Yuanwu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chi%2C+Bo%22">Chi, Bo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> chibo@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Peng%2C+Jingxuan%22">Peng, Jingxuan</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xi%22">Li, Xi</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Green+Energy%22">International Journal of Green Energy</searchLink>. 2026, Vol. 23 Issue 3, p742-758. 17p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Solid+oxide+fuel+cells%22">Solid oxide fuel cells</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperature+control%22">Temperature control</searchLink><br /><searchLink fieldCode="DE" term="%22Deterioration+of+materials%22">Deterioration of materials</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Stability+of+linear+systems%22">Stability of linear systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To improve the temperature performance and reliability of solid oxide fuel cell (SOFC) systems under long-term material degradation effects, this paper proposes a novel control method based on precise modeling and composite control strategies. This study develops a comprehensive mechanistic model incorporating key component degradation mechanisms and designs a composite model predictive control – active disturbance rejection control (MPC-ADRC) to enhance system stability. The model considers the degradation equations of anode nickel particles coarsening, decreased electrolyte ionic conductivity, and metal interconnects oxidation. Subsequently, a two-input-two-output coupled control structure is established with safety temperature constraints. The proposed composite control strategy integrates the advantages of both MPC and ADRC: achieving minimal control deviation of outlet temperature, shortest adjustment time, and optimal inlet temperature control. Compared with individual MPC and ADRC methods, the composite control demonstrates comprehensive advantages in SOFC temperature control. These results provide valuable insights for developing more effective SOFC control systems.. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Green Energy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/15435075.2025.2572702
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 742
    Subjects:
      – SubjectFull: Solid oxide fuel cells
        Type: general
      – SubjectFull: Temperature control
        Type: general
      – SubjectFull: Deterioration of materials
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Predictive control systems
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      – SubjectFull: Stability of linear systems
        Type: general
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      – TitleFull: Composite temperature control for solid oxide fuel cells under degradation effects: Integration of active disturbance rejection and model predictive control.
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          Name:
            NameFull: Wu, Xiaolong
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            NameFull: Zhong, Yunsheng
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            NameFull: Li, Keye
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            NameFull: Xu, Yuanwu
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            NameFull: Chi, Bo
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            NameFull: Peng, Jingxuan
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            – D: 01
              M: 02
              Text: 2026
              Type: published
              Y: 2026
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            – TitleFull: International Journal of Green Energy
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