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Advances in Fault Diagnosis and Modeling of Fuel Cells

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D2: Electrochem: Batteries, Fuel Cells, Capacitors".

Deadline for manuscript submissions: 10 July 2024 | Viewed by 761

Special Issue Editors


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Guest Editor
School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China
Interests: prognostics and health management in renewable energy system; energy management strategy; fuel cell system modeling, diagnostic and prognostic
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China
Interests: modeling; half-in-the-loop simulation system

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Guest Editor
Research Institution FEMTO-ST, University of Franche-Comte, FEMTO-ST/Energie, 13, Rue Ernest Thierry-Mieg, 90010 Belfort CEDEX, France
Interests: fuel cell fault diagnosis

Special Issue Information

Dear Colleagues,

Fuel cells are considered a suitable candidate for next-generation green energy technology revolutions due to their high power density, high energy conversion, reduced greenhouse gas emissions, and modular structure.

The operation of a fuel cell system involves multiple auxiliary subsystems other than the fuel cell stack, and it requires multi-field knowledge, for example, complex electrochemistry, thermodynamics, and fluid mechanics. In this case, an accurate fuel cell model is meaningful for the fuel cell’s efficient operation and safety.

On the other hand, fault diagnosis, more particularly online diagnosis, dedicated to detecting, isolating, and analyzing different faults, has proven beneficial for ensuring that fuel cell systems operate safely, reducing downtime, and mitigating performance degradation.

To accurately detect and identify the faults occurring in the system is not a trivial task. This special section focuses on the latest progress and developments in the modeling and fault diagnosis of fuel cells in order to be utilized in various fuel cell systems and promote the commercialization of fuel cell technology.

Potential topics include, but are not limited to, the following:

  • Multi-physics and multi-scale modelling of fuel cells.
  • Optimal parameter estimation for the fuel cell model.
  • Model predictive control for fuel cell system.
  • Model-based or data-driven fault diagnosis in fuel cell systems.
  • Fuel cell performance evaluation, fault diagnosis, and health control.
  • Prognostics health management for fuel cell systems.
  • Prediction algorithm for fuel cell performance degradation.
  • Artificial intelligence for fuel cell modelling and diagnosis.
  • Control strategies for maximizing lifetime of fuel cell systems.
  • Fault identification, isolation techniques, and stability analysis of fuel cell systems.

Prof. Dr. Daming Zhou
Dr. Meibo Lv
Prof. Dr. Zhongliang Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fuel cell
  • modeling
  • fault diagnosis
  • multi-physics and multi-scale modeling
  • prognostics health management

Published Papers (1 paper)

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Research

11 pages, 1661 KiB  
Article
Determination of an Optimal Parameter Combination for Single PEMFC Using the Taguchi Method and Orthogonal Array
by Kwang-Hu Jung and Jung-Hyung Lee
Energies 2024, 17(7), 1690; https://doi.org/10.3390/en17071690 - 2 Apr 2024
Viewed by 598
Abstract
In this study, the optimization of the operational parameters for a single proton exchange membrane fuel cell (PEMFC) was carried out using the Taguchi method and orthogonal array. The operating parameters were H2 stoichiometry, air stoichiometry, cell temperature, and back pressure of [...] Read more.
In this study, the optimization of the operational parameters for a single proton exchange membrane fuel cell (PEMFC) was carried out using the Taguchi method and orthogonal array. The operating parameters were H2 stoichiometry, air stoichiometry, cell temperature, and back pressure of the anode∙cathode, each with three levels. The performance of the PEMFC, operated according to the L9 orthogonal arrangement, was evaluated through I–V curves at a step-up current loading ranging from 0.1 to 0.7 A/cm2. The results indicated that the anode∙cathode back pressure had the greatest sensitivity to the output voltage compared to the other operating parameters. Increasing the back pressure resulted in higher current output densities at higher values than those applied in the orthogonal arrangement. As the back pressure increased, the output voltage tended to increase at each current density. However, for operating conditions above 150 kPa, the improvement in cell performance was either not significant or tended to decrease. Therefore, it can be concluded that the Taguchi method and orthogonal array are effective tools for selecting the optimal operating conditions for PEMFC. Full article
(This article belongs to the Special Issue Advances in Fault Diagnosis and Modeling of Fuel Cells)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

1. Title: Experimental Study on the Effect of Carbon Graphitization Degree and Pore Structure on the Electrochemical Durability of Gas Diffusion Layers

Author: Jianan Wang

Affiliation: Wuhan Institute of Marine Electric Propulsion,Nanli Road, Wuhan,430000 Wuhan,China

2. Title: A deterioration-aware energy management strategy for the lifetime improvement of a multi-stack fuel cell system subject to a random dynamic load

Author: Jian Zuo

Affiliation: LIS Laboratory, Aix-Marseille University, Marseille, 13397, France

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