Battery Systems and Energy Storage beyond 2020

• Muut tekijät: Birke, Kai Peter (Toimittaja), Karabelli, Duygu (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Aiheet: Research & information: general; battery energy storage; renewable energy; distribution network; genetic algorithm; particle swarm optimization; electrolyte; additive; interface; pseudocapacitance; intercalation; energy storage; secondary battery; sodium-ion; lithium-ion battery; traction battery; waterjet-based recycling; direct recycling; life cycle assessment; global warming potential; electro-thermal model; smart cell; intelligent battery; neural network; temperature prediction; DRT by time domain data; pulse evaluation; relaxation voltage; online diagnosis; degradation mechanisms; EIS; lead batteries; safety concept; safety battery; battery monitoring; electronic battery sensor; failure modes; failure distribution; failure rates; field battery investigation; safe supply; power supply system; zinc ion batteries; stationary energy storage; polymer binder; solvent; doctor blade coating; manganese dioxide; mixing ratio; electrochemical impedance spectroscopy; SEM+EDX; electrode fabrication; lithium ion battery; AC current injection; bi-directional control; charger; lithium-ion battery cell; volumetric expansion; mechanical degradation; state of charge dependency; cell thickness; mechanical aging; non-uniform volume change; solar photovoltaic energy; redox flow battery; residential load; renewable energy integration; battery sizing; battery efficiency; lithium battery; temperature dependency; ether based electrolyte; insitu deposited lithium-metal electrode; Coulombic efficiency; lithium deposition morphology; Li-ion battery; thermal runaway; model; post-mortem analysis; ecofriendly electrolyte for lithium-ion batteries; increased thermal stability of electrolytes; enhanced electrolyte safety based on high flash point; tributylacetylcitrate; acetyltributylcitrate; electric vehicle battery; disassembly; disassembly planner design; disassembly strategy optimization; battery management system; state monitoring; state-of-charge; digital twin; battery model; Doyle-Fuller-Newman model; equivalent circuit model; parameter estimation; lithium-ion batteries; temperature estimation; sensorless temperature measurement; artificial intelligence; artificial neural network; lithium-ion cells; battery thermal management systems; CFD simulations; liquid cooling
• Linkit: DOAB: download the publication; DOAB: description of the publication

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...