Advanced Energy Storage Technologies and Applications (AESAs), 2nd Edition
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 67
Special Issue Editors
Interests: multi-power-integrated management and optimal control of new energy vehicles; artificial intelligence management and control of advanced energy storage systems; optimized control of intelligent connected vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: battery reliability analysis; battery health management; battery state estimation
Special Issues, Collections and Topics in MDPI journals
Interests: battery system modeling; state estimation and life prediction; battery system fault diagnosis and health status estimation under big data
Special Issues, Collections and Topics in MDPI journals
Interests: modeling; health prediction; management of lithium-ion battery degradation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the global demand for energy continues to rise, the development of advanced energy storage technologies and intelligent transportation systems has become critical in addressing the pressing challenges of decarbonization and sustainable development. Energy storage, in particular, plays a pivotal role in integrating renewable energy sources, enhancing grid stability, and facilitating the electrification of the transport sector. Ongoing innovation in these areas not only contributes to a reduction in carbon emissions but also ensures the efficient and resilient operation of future energy systems.
This Special Issue aims to highlight cutting-edge research and technological advancements in energy storage and intelligent transportation. We invite contributions that explore novel materials, systems, and methods that push the boundaries of our current capabilities. Submissions may include theoretical, experimental, and review papers that provide valuable insights into the latest trends and future directions in these fields.
Topics of interest include, but are not limited to, the following:
- Energy storage;
- Power and energy systems;
- Electrified/intelligent transportation;
- Batteries and management;
- Motor and control;
- Power electronics;
- AI and big data applications.
Dr. Chun Wang
Dr. Quanqing Yu
Dr. Aihua Tang
Dr. Yongzhi Zhang
Dr. Jiahuan Lu
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. Energies 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 2600 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
- energy storage
- power and energy systems
- electrified/intelligent transportation
- batteries and management
- motor and control
- power electronics
- AI and big data applications
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