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Battery Systems and Energy Storage beyond 2020
| Battery Systems and Energy Storage beyond 2020 |
| Autore | Birke Kai Peter |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (338 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
AC current injection
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 CFD simulations charger Coulombic efficiency degradation mechanisms digital twin direct recycling disassembly disassembly planner design disassembly strategy optimization distribution network doctor blade coating Doyle-Fuller-Newman model DRT by time domain data ecofriendly electrolyte for lithium-ion batteries EIS 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 Li-ion battery 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 SEM+EDX 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 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557610903321 |
Birke Kai Peter
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Photovoltaic Systems / Emanuele Ogliari, Sonia Leva
| Computational Intelligence in Photovoltaic Systems / Emanuele Ogliari, Sonia Leva |
| Autore | Ogliari Emanuele |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
artificial neural network
online diagnosis genetic algorithm renewable energy unit commitment photovoltaic panel power forecasting metaheuristic monitoring system embedded systems firefly algorithm tracking system MPPT algorithm integrated storage day-ahead forecast solar radiation prototype model artificial neural networks parameter extraction thermal image thermal model solar cell PV cell temperature evolutionary algorithms uncertainty battery harmony search meta-heuristic algorithm single-diode photovoltaic model symbiotic organisms search photovoltaics tilt angle smart photovoltaic system blind orientation photovoltaic particle swarm optimization analytical methods computational intelligence statistical errors ensemble methods solar photovoltaic electrical parameters demand response metaheuristic algorithm |
| ISBN |
9783039210992
3039210998 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674025103321 |
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Ogliari Emanuele
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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