Battery Systems and Energy Storage beyond 2020
A special issue of Batteries (ISSN 2313-0105).
Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 112550
Special Issue Editors
Interests: battery cell research; battery system technology; battery block building kits; modeling of battery cells and battery systems; battery state estimation (state of charge, state of health, state of function); implementation of artificial intelligence for detrmination of battery cell parameters with enhanced accuracy; digital twins for battery cells and battery systems; high boiling point safety enhanced electrolytes; double layer capacitors; pseudo 3D-capacitors; power to X (X = gas, liquid, solid)
Special Issues, Collections and Topics in MDPI journals
Interests: Li-ion batteries; next generation Li-S and Li-air batteries; solid-state batteries; polymer electrolytes; battery production; industry 4.0
Special Issue Information
Dear Colleagues,
Nowadays, the transformation from the combustion engine to electrified vehicles is a matter of fact and tremendously drives the demand for compact, high energy-density rechargeable lithium ion batteries as well for large stationary batteries to buffer solar and wind energy. The future challenges, e.g., decarbonization of the CO2 intensive transportation sector, will push the need for such batteries even more.
The cost of lithium ion batteries has become competitive in the last few years, and lithium ion batteries are expected to dominate the battery market in the next decade. However, despite remarkable progress, there is still a strong need for improvements in lithium ion batteries’ performance. Further improvements are not only expected in the field of electrochemistry but can also be distinctly pushed by improved manufacturing methods, diagnostic algorithms, lifetime prediction methods, implementation of artificial intelligence, and digital twins. Therefore, this Special Issue addresses the progress in battery and energy storage development by pushing a missing focus on digitalization, advanced cell production, modeling, and prediction aspects in concordance with progresses in new materials and pack design solutions.
Potential topics include but are not limited to:
- Electrical, thermal, and electrochemical modeling;
- Lifetime estimation of battery cells;
- Accuracy enhancement methods for battery states and life time estimation;
- Implementation of artificial intelligence in battery diagnostics;
- Digital Twins for battery cells;
- Digital Twins for battery systems;
- Digital Twins in advanced battery productions;
- New materials and advanced manufacturing methods in battery cell production;
- Cell size optimization for advanced Li-ion batteries;
- Battery cell and pack design;
- Advanced electrolytes for Li-based batteries;
- Advances in battery cell manufacturing technologies;
- Life cycle assessment.
Prof. Dr.-Ing. Kai Peter Birke
Dr.-Ing. Duygu Kaus
Guest Editors
Manuscript Submission Information
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