Recent Progress in Science and Engineering (ISSN 3067-4573) is an international peer-reviewed Open-Access journal published quarterly online by LIDSEN Publishing Inc. It aims to provide an advanced knowledge platform for Science and Engineering researchers, to share the recent advances on research, innovations and development in their field.

The journal covers a wide range of subfields of Science and Engineering, including but not limited to Chemistry, Physics, Biology, Geography, Earth Science, Pharmaceutical Science, Environmental Science, Mathematical and Statistical Science, Humanity and Social Science; Civil, Chemical, Electrical, Mechanical, Computer, Biological, Agricultural, Aerospace, Systems Engineering. Articles of interdisciplinary nature are also particularly welcome.

The journal publishes all types of articles in English. There is no restriction on the length of the papers. We encourage authors to be concise but present their results in as much detail as necessary.

 
 
Indexing: 
Publication Speed (median values for papers published in 2025): Submission to First Decision: 6.6 weeks; Submission to Acceptance: 9.2 weeks; Acceptance to Publication: 6.0 days (1-2 days of FREE language polishing included)
Current Issue: 2026  Archive: 2025

Special Issue

Reliability, Fault Diagnosis and Prognostics for Electric Vehicles and Energy Storage Systems

Submission Deadline: April 30, 2027 (Open) Submit Now

Guest Editor

Moustafa M.S. Sanad, PhD ORCID logo

Head of Batteries Technology Department, Central Metallurgical Research and Development Institute (CMRDI), Egypt

Website1 | Website2 | E-Mail

Research Interests: Rechargeable batteries; supercapacitors; fuel cells; hydrogen electrolyzer

About This Topic

This Special Issue, "Reliability, Fault Diagnosis and Prognostics for Electric Vehicles and Energy Storage Systems," explores the critical intersection of transport electrification and sustainable energy management. As the global transition toward green mobility accelerates, the long-term reliability and safety of Electric Vehicles (EVs) and Energy Storage Systems (ESSs) have become paramount. These systems are subject to complex degradation mechanisms and operational stresses that necessitate advanced monitoring and maintenance strategies. The scope of this issue encompasses cutting-edge research in condition monitoring, fault detection, and Remaining Useful Life (RUL) prediction. By integrating state-of-the-art methodologies—ranging from physics-based modeling to data-driven AI and machine learning—the collected works aim to minimize downtime, prevent catastrophic failures, and optimize the lifecycle of battery packs and power electronics. By bridging the gap between theoretical diagnostics and industrial application, this Special Issue provides a vital platform for researchers to share breakthroughs that enhance the resilience of the EV and ESS ecosystems. Ultimately, these contributions support the broader mission of ensuring efficient, safe, and dependable energy solutions for the future of engineering and environmental science.

Keywords

Prognostics and health management (PHM); fault detection and isolation (FDI); state of health (SoH) estimation; lithium-ion battery safety; battery management systems (BMS); power electronics reliability; machine learning & deep learning; electrochemical impedance spectroscopy (EIS); thermal management stability; degradation mechanisms; predictive maintenance; fault-tolerant control; second-life battery reliability

Manuscript Submission Information

Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (rpse@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.

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