Comprehensive summary of solid oxide fuel cell control: a state-of-the-art review

Bo Yang; Yulin Li; Jiale Li; Hongchun Shu; Xinyu Zhao; Yaxing Ren; Qiang Li

doi:10.1186/s41601-022-00251-0

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Comprehensive summary of solid oxide fuel cell control: a state-of-the-art review

Review | 更新时间：2026-09-30

- Comprehensive summary of solid oxide fuel cell control: a state-of-the-art review
- Protection and Control of Modern Power Systems Vol. 7, Issue 3, Pages: 1-31(2022)
- 作者机构：
  
  1. Faculty of Electric Power Engineering, Kunming University of Science and Technology,Kunming,China
  2. School of Management and Economics, Kunming University of Science and Technology,Kunming,China
  3. Warwick Manufacturing Group, University of Warwick,UK
  4. China Southern Power Grid EHV Transmission Company, Dali,China
- 作者简介：
- 基金信息：
- DOI：10.1186/s41601-022-00251-0
  CLC：
- Published：01 July 2022
- 稿件说明：
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Bo Yang, Yulin Li, Jiale Li, et al. Comprehensive summary of solid oxide fuel cell control: a state-of-the-art review[J]. Protection and Control of Modern Power Systems, 2022, 7(3): 1-31.
DOI：

Bo Yang, Yulin Li, Jiale Li, et al. Comprehensive summary of solid oxide fuel cell control: a state-of-the-art review[J]. Protection and Control of Modern Power Systems, 2022, 7(3): 1-31. DOI： 10.1186/s41601-022-00251-0.

摘要

Abstract

Hydrogen energy is a promising renewable resource for the sustainable development of society. As a key member of the fuel cell (FC) family

the solid oxide fuel cell (SOFC) has attracted a lot of attention because of characteristics such as having various sources as fuel and high energy conversion efficiency

and being pollution-free. SOFC is a highly coupled

nonlinear

and multivariable complex system

and thus it is very important to design an appropriate control strategy for an SOFC system to ensure its safe

reliable

and efficient operation. This paper undertakes a comprehensive review and detailed summary of the state-of-the-art control approaches of SOFC. These approaches are divided into eight categories of control: proportional integral differential (PID)

adaptive (APC)

robust

model predictive (MPC)

fuzzy logic (FLC)

fault-tolerant (FTC)

intelligent and observer-based. The SOFC control approaches are carefully evaluated in terms of objective

design

application/scenario

robustness

complexity

and accuracy. Finally

five perspectives are proposed for future research directions.

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