Intelligent Renewable Energy System: A Focus on Hydrogen Fuel Cells and Battery Storage with AI
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (22 August 2022) | Viewed by 25436
Special Issue Editors
Interests: electric vehicles; energy management; integrated control; modelling and simulation; battery systems
Interests: proton exchange membrane fuel cell; fuel cell vehicles; powertrains; energy management
Interests: fuel cells; electric vehicles; battery management system; energy storage; energy management system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Renewable energy generation and storage are key to carbon neutrality. Hydrogen fuel cells and battery storage, as representatives of renewable energy carriers, have the advantages of high-energy conversion efficiency, simple structure and well flexibility, and can be widely used as a mobility and stationary power source, such as the electrification of transportation and households in remote areas. At present, the efficient designs and utilizations of the renewable energy system are still an urgent matter in the global new energy research field. Fortunately, inspired by advanced multi-disciplinary integration with artificial intelligence (AI), big data analysis, machine learning, data-driven, automation control and other system design, modeling, control and management methods, new and efficient solutions of renewable energy systems can be expected. The Special Issue of “Intelligent Renewable Energy System: A Focus on Hydrogen Fuel Cells and Battery Storage with AI” aims to cover recent advances and future perspectives related to fuel cells and battery storage with system design, modeling, control strategy, energy management, AI methods, and applications on mobility and stationary scenarios. The Special Issue welcomes outstanding research papers, as well as review articles, devoted to innovative suggestions for AI-based or advanced modeling and control technologies in the field of renewable energy, especially for the hydrogen fuel cell and battery storage.
The main topics of this Special Issue include but are not limited to:
- Hydrogen fuel cell and electrolyzer design, modeling, and control;
- Fuel cell vehicle powertrains;
- Advances in battery storage technologies;
- Battery management system (BMS);
- Energy management system (EMS);
- Electric vehicle control;
- Fuel cell combined heat and power (CHP);
- Thermal management of renewable energy systems;
- Advanced Grid-to-Vehicle and Vehicle-to-Grid (V2G and G2V) systems;
- Charging/discharging infrastructure;
- DC/DC converters;
- Data-driven control of renewable energy system;
- Development of artificial intelligence in the new energy field;
- Real-time simulation and analysis tools for hydrogen fuel cells;
- Battery thermal system optimization;
- Electrification of remoted areas;
- Deep learning and machine learning for renewable energy system;
- Data-driven-based models and physics-based models;
- Hydrogen storage and renewable hydrogen production.
Prof. Dr. Hongwen He
Prof. Dr. Liangfei Xu
Prof. Dr. Ya-Xiong Wang
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.