Advances in Batteries and Energy Storage Technology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 165
Special Issue Editors
Interests: battery aging evaluation; degradation mechanism; electrochemical behavior
Interests: lithium-ion batteries; energy storage
Interests: lithium-ion battery; battery management system; battery performance analysis; charging strategy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Energy storage systems (ESSs) are ubiquitous in the era of electrification to counteract climate change and greenhouse gas emissions, where different batteries play a pivotal role in existing ESSs. Owing to their complicated dynamics, a clear understanding of the internal physical processes and meticulous management of operations is required to enhance the safety, performance, and reliability of these ESSs. Therefore, understanding the internal mechanisms, characterizing various properties, and developing proper management strategies for batteries and other energy storage technologies are of great importance. For instance, multi-physics modelling has long been adopted to provide insights into the internal mechanisms of these ESSs and to promote the derivation of various model-based control and management strategies. Data-driven methods provide an alternative to model-based approaches in terms of modelling, prediction, and optimization. In recent years, there are emerging methodologies that bring new opportunities to the understanding, modelling, control, and management of energy storage technologies to unlock the potential of ESSs.
Within this scope, this Special Issue aims to encourage ideas and solutions to address the emerging challenges in batteries and energy storage technology. Original research articles, state-of-the-art reviews, and perspectives are invited for submission. Topics of interest include, but are not limited to, the following:
- Multi-physics (electrochemical, thermal, degradation, mechanical, etc.) modelling of batteries;
- Discovery of internal physics or kinetics of batteries;
- Battery model parameterization methods;
- State of health estimation and remaining useful life prediction of energy storage devices;
- Thermal monitoring and thermal management of ESS;
- Reinforcement learning and intelligent control of the energy system operation;
- Fault diagnostics and prognostics of ESS;
- Methods and mechanisms for extending battery lifespan from cell to materials levels.
Dr. Jia Guo
Dr. Yunhong Che
Dr. Xinrong Huang
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. Applied Sciences 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 2400 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
- multi-physics modelling
- degradation mechanisms
- health diagnostics thermal management
- intelligent control
