Research on Battery Energy Storage in Renewable Energy Systems, 2nd Edition
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 24 February 2027 | Viewed by 442
Editors
Interests: battery modeling; state estimation; life prediction; safety diagnostics; thermal management; battery energy storage; charging–discharging management; economic modeling
Special Issues, Collections and Topics in MDPI journals
Interests: lithium-ion battery; electrochemical energy storage materials; solid-state electrolyte; mechanical-electrochemical coupling; multiscale simulation; machine learning; polyelectrolyte gels
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Battery energy storage systems (BESSs) play multiple roles in improving the safety, stability, and reliability of renewable energy systems. Many studies show that the safety and performance of battery energy storage can be improved through monitoring, estimation, and management. Machine learning methods are applied for state of charge, health, power, and energy estimation, as well as for life prediction and fault diagnosis. In addition, thermal management is very important for the safety and life of BESS, including air-based cooling systems, liquid-based cooling systems, heating systems, etc. The above methodologies are helpful for prolonging the safety and economy of BESS, which will promote its large-scale application in renewable energy systems.
This Special Issue on “Research on Battery Energy Storage in Renewable Energy Systems” seeks high-quality works focusing on the latest novel advances in the modeling, prediction, and management technology for battery energy storage. Topics include, but are not limited to, the following:
- Battery energy storage modeling for different time-scale applications;
- The SOX (X=P, H, C, E, etc.) estimation of battery energy storage;
- Life prediction of battery energy storage;
- Battery electro-thermal coupled characteristic and management technology;
- Battery safety improvement and online fault diagnosis;
- Battery energy storage integration, optimization, and economic modeling with different market mechanisms.
Prof. Dr. Jilei Ye
Dr. Zhuoyuan Zheng
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes 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
- battery energy storage
- modeling
- safety
- thermal management
- integration
- optimization
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