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Book
Asteroseismic Data Analysis : Foundations and Techniques
Authors: ---
ISBN: 1400888204 Year: 2017 Publisher: Princeton, NJ : Princeton University Press,

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Abstract

Studies of stars and stellar populations, and the discovery and characterization of exoplanets, are being revolutionized by new satellite and telescope observations of unprecedented quality and scope. Some of the most significant advances have been in the field of asteroseismology, the study of stars by observation of their oscillations. Asteroseismic Data Analysis gives a comprehensive technical introduction to this discipline. This book not only helps students and researchers learn about asteroseismology; it also serves as an essential instruction manual for those entering the field.The book presents readers with the foundational techniques used in the analysis and interpretation of asteroseismic data on cool stars that show solar-like oscillations. The techniques have been refined, and in some cases developed, to analyze asteroseismic data collected by the NASA Kepler mission. Topics range from the analysis of time-series observations to extract seismic data for stars to the use of those data to determine global and internal properties of the stars. Reading lists and problem sets are provided, and data necessary for the problem sets are available online.The first book to describe in detail the different techniques used to analyze the data on stellar oscillations, Asteroseismic Data Analysis offers an invaluable window into the hearts of stars.Introduces the asteroseismic study of stars and the theory of stellar oscillationsDescribes the analysis of observational (time-domain) dataExamines how seismic parameters are extracted from observationsExplores how stellar properties are determined from seismic dataLooks at the "inverse problem," where frequencies are used to infer internal structures of stars

Keywords

Astroseismology. --- Astero-seismology --- Asteroseismology --- Extraterrestrial seismology --- Stellar oscillations --- Bayesian framework. --- LAWE. --- NASA Kepler mission. --- acoustic glitches. --- asteroseismic analysis. --- asteroseismic data. --- asteroseismic parameters. --- asteroseismology. --- automated detection. --- basic datasets. --- comparing frequencies. --- constructing models. --- direct method. --- energy generation. --- energy. --- exoplanets. --- frequency spectrum. --- frequency splittings. --- frequency-domain properties. --- frequency-power spectrum. --- glitch signatures. --- granulation. --- grid-based modeling. --- inversion techniques. --- inversions. --- linear adiabatic wave equation. --- magnetic activity. --- mass. --- mixed modes. --- mode frequencies. --- model parameters. --- modeling stars. --- momentum. --- observational data. --- observational techniques. --- oscillations. --- peak-bagging analysis. --- period spacings. --- power spectrum. --- pulsators. --- red giants. --- satellite. --- seismic properties. --- solar frequencies. --- solar-like oscillators. --- solar-like pulsations. --- solar-type oscillations. --- spherical symmetry. --- star mass. --- star radius. --- stars. --- stellar models. --- stellar oscillation data. --- stellar oscillations. --- stellar parameters. --- stellar population. --- stellar properties. --- stellar pulsations. --- stellar signals. --- stellar structure. --- stellar structures. --- telescope. --- time-domain data. --- time-series observations.


Book
Battery Systems and Energy Storage beyond 2020
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

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.

Keywords

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


Book
Battery Systems and Energy Storage beyond 2020
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Export citation

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Bookmark

Abstract

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.

Keywords

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


Book
Battery Systems and Energy Storage beyond 2020
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.

Keywords

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

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