1. Battery Systems and Energy Storage beyond 2020.
- Author
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Birke, Kai Peter, Birke, Kai Peter, and Karabelli, Duygu
- Subjects
Research & information: general ,AC current injection ,CFD simulations ,Coulombic efficiency ,DRT by time domain data ,Doyle-Fuller-Newman model ,EIS ,Li-ion battery ,SEM+EDX ,acetyltributylcitrate ,additive ,artificial intelligence ,artificial neural network ,battery efficiency ,battery energy storage ,battery management system ,battery model ,battery monitoring ,battery sizing ,battery thermal management systems ,bi-directional control ,cell thickness ,charger ,degradation mechanisms ,digital twin ,direct recycling ,disassembly ,disassembly planner design ,disassembly strategy optimization ,distribution network ,doctor blade coating ,ecofriendly electrolyte for lithium-ion batteries ,electric vehicle battery ,electro-thermal model ,electrochemical impedance spectroscopy ,electrode fabrication ,electrolyte ,electronic battery sensor ,energy storage ,enhanced electrolyte safety based on high flash point ,equivalent circuit model ,ether based electrolyte ,failure distribution ,failure modes ,failure rates ,field battery investigation ,genetic algorithm ,global warming potential ,increased thermal stability of electrolytes ,insitu deposited lithium-metal electrode ,intelligent battery ,intercalation ,interface ,lead batteries ,life cycle assessment ,liquid cooling ,lithium battery ,lithium deposition morphology ,lithium ion battery ,lithium-ion batteries ,lithium-ion battery ,lithium-ion battery cell ,lithium-ion cells ,manganese dioxide ,mechanical aging ,mechanical degradation ,mixing ratio ,model ,neural network ,non-uniform volume change ,online diagnosis ,parameter estimation ,particle swarm optimization ,polymer binder ,post-mortem analysis ,power supply system ,pseudocapacitance ,pulse evaluation ,redox flow battery ,relaxation voltage ,renewable energy ,renewable energy integration ,residential load ,safe supply ,safety battery ,safety concept ,secondary battery ,sensorless temperature measurement ,smart cell ,sodium-ion ,solar photovoltaic energy ,solvent ,state monitoring ,state of charge dependency ,state-of-charge ,stationary energy storage ,temperature dependency ,temperature estimation ,temperature prediction ,thermal runaway ,traction battery ,tributylacetylcitrate ,volumetric expansion ,waterjet-based recycling ,zinc ion batteries - Abstract
Summary: Currently, the transition from using the combustion engine to electrified vehicles is a matter of time and drives the demand for compact, high-energy-density rechargeable lithium ion batteries as well as for large stationary batteries to buffer solar and wind energy. The future challenges, e.g., the 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 the performance of lithium ion batteries. Further improvements are not only expected in the field of electrochemistry but can also be readily achieved by improved manufacturing methods, diagnostic algorithms, lifetime prediction methods, the implementation of artificial intelligence, and digital twins. Therefore, this Special Issue addresses the progress in battery and energy storage development by covering areas that have been less focused on, such as digitalization, advanced cell production, modeling, and prediction aspects in concordance with progress in new materials and pack design solutions.