Lithium-Ion Batteries: Aging Mechanisms, Diagnosis Method and Lifetime Assessment
A special issue of Batteries (ISSN 2313-0105). This special issue belongs to the section "Energy Storage System Aging, Diagnosis and Safety".
Deadline for manuscript submissions: 10 October 2026 | Viewed by 160
Special Issue Editors
Interests: batteries; power electronics; electric vehicles; lithium-ion battery aging; battery capacity; battery model; battery temperature; battery management system; battery degradation; state of charge
Interests: circuits and systems; theory and applications; power electronic converters and energy storage systems; lithium-Ion battery; battery aging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Lithium-ion batteries are the enabling technology for electric mobility, stationary storage and portable electronics. However, performance degradation over time remains a critical challenge, directly affecting reliability, safety and economic viability. Understanding aging mechanisms and developing accurate diagnostic and lifetime assessment methodologies are, therefore, essential to accelerate technological innovation and support large-scale deployment.
This Special Issue aims to gather cutting-edge research addressing the fundamental and applied aspects of lithium-ion battery aging. Contributions are welcome on physicochemical degradation mechanisms at material, cell and system levels, as well as on advanced characterization techniques, data-driven diagnostics and predictive modeling approaches. Emphasis is placed on linking degradation phenomena to measurable indicators and operational stress factors, including temperature, cycling conditions, fast charging and high-energy-density designs.
The Special Issue also encourages studies that bridge experimental investigation with modeling, artificial intelligence and digital twin approaches for state-of-health estimation and remaining useful life prediction. By integrating multi-scale understanding with advanced diagnostic tools, this collection seeks to support more reliable lifetime assessment frameworks and contribute to safer, longer-lasting and more sustainable lithium-ion battery technologies.
Potential topics include, but are not limited to:
- Advanced characterization techniques for battery
- Degradation study
- State of health estimation
- Impact of operating conditions on battery degradation
- Lifetime prediction models and remaining useful life assessment
- Analysis of lithium-ion batteries' aging mechanisms
- Use of AI techniques for state-of-health estimation and lifetime prediction
Dr. Silvia Colnago
Dr. Simone Barcellona
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 250 words) can be sent to the Editorial Office for assessment.
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. Batteries is an international peer-reviewed open access monthly 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 2700 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
- lithium-ion battery diagnostics
- lithium-ion battery aging
- state of health estimation
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