New Energy Storage Control and Safety Management
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 976
Special Issue Editors
Interests: lithium battery modeling; state estimation; battery balancing; battery management system; new energy system
Special Issues, Collections and Topics in MDPI journals
Interests: nanomaterials; graphene and graphene-based compounds; energy storage devices; 2D materials; functional materials; sensors; environmental and pharmaceutical devices
Special Issues, Collections and Topics in MDPI journals
2. School of Energy, Chengdu University of Technology, Chengdu 610059, China
Interests: power system wide-area measurement and control; informatics for smart electric energy system; smart grid and energy internet
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Under the requirement of achieving a carbon peak in 2030 and carbon neutrality in 2060, new power systems are being established with new energy as the mainstay, establishing the future long-term development pattern. With this transformation, along with the rapid increase in new energy equipment, the rigid attributes of energy storage are becoming stronger. Energy storage is the best way to solve the problem of new energy consumption. From the current solutions, the research of new energy storage is in urgent need of a breakthrough. We hope that contributors will conduct relevant research on the above issues and put forward their unique perspectives to further promote continuous progress in the field of new energy.
This Special Issue also invites papers from The Summit Forum of New Energy and Energy Storage System Control.
Researchers should focus on research topics including:
- Electrochemical energy storage;
- Multi-objective coordination optimization;
- Energy management technologies;
- Core state parameter estimation;
- Remaining useful life prediction;
- Energy storage strategy;
- High-precision equivalent modeling;
- Design of energy management system;
- Model-driven methods on energies;
- Extreme learning machine;
- Fusion methods;
- Fault detection.
Prof. Dr. Shunli Wang
Dr. Carlos Fernandez
Prof. Dr. Qi Huang
Guest Editors
Manuscript Submission Information
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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. Processes is an international peer-reviewed open access monthly journal published by MDPI.
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