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 536
Special Issue Editors
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
Interests: modeling; half-in-the-loop simulation system
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
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
