Battery Aging Diagnosis and Prognosis
A special issue of Batteries (ISSN 2313-0105). This special issue belongs to the section "Battery Performance, Ageing, Reliability and Safety".
Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 177
Special Issue Editor
Interests: energy storage; lithium-ion batteries; battery modeling; advanced sensing; battery health and safety; intelligent and smart BMS; battery fast charging
Special Issue Information
Dear Colleagues,
Batteries have become vital in our tech-driven world, powering everything from portable electronics and electrical vehicles to massive grid storage systems. Yet, as they become more common, the challenge of battery aging becomes more urgent. This Special Issue is devoted to exploring the multifaceted aspects of battery lifespan and degradation. It seeks to explore the underlying mechanisms of aging, showcase advanced diagnostic methodologies, and reveal predictive techniques that can anticipate a battery’s future health trajectory. By emphasizing both diagnostic and prognostic methodologies, this Special Issue aims to bring forth innovative strategies that extend the lifespan of batteries, and enhance their safety and efficiency. By considering research with various practical applications, it aims to present a comprehensive overview that could shape the next wave of advancements in battery technology and management.
Potential topics include, but are not limited to, the following:
- Advanced diagnostic techniques for battery aging assessment.
- Machine learning and AI for battery lifetime or aging knee prediction.
- State of health, state of charge, state of power, and state of energy estimation.
- Novel sensors for battery aging monitoring and prediction.
- Case studies about battery aging or aging patterns in real applications, e.g., electric vehicles and grid storage systems.
- Battery management strategies to mitigate battery aging.
- The socio-economic impact of battery lifespan extension.
- Solid-state batteries: aging behavior and diagnostics.
- Battery aging in fast-charging scenarios.
- Mechanisms of battery degradation.
Dr. Xiaolei Bian
Guest Editor
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. 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
- aging diagnostic techniques
- lifetime and aging knee prediction
- machine learning and AI
- battery state estimation
- novel sensors
- battery aging mechanisms
- solid-state batteries
- fast charging
- socio-economic impact
