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Energy: Electrochemical Storage and Sustainable Development

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ISBN: 9782722602830 Year: Language: English
Publisher: Collège de France
Added to DOAB on : 2017-03-08 14:29:04
License: OpenEdition licence for Books

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The storage and conversion of energy is one of the major scientific challenges of the decades to come, with high stakes for the environment. What new materials will allow for more efficient and “cleaner” batteries to be developed? Jean-Marie Tarascon reviews these issues and their implications for our future and that of the planet. In particular, he discusses lithium-ion technology, the contribution of nanotechnologies, and current research using bio-inspired methods to develop innovations su...

Einfluss von Mikrostruktur und Materialparametern auf die Leistungsfähigkeit poröser Elektroden für Lithium-Ionen Batterien

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Book Series: Schriften des Instituts für Angewandte Materialien - Werkstoffe der Elektrotechnik, Karlsruher Institut für Technologie / Institut für Angewandte Materialien - Werkstoffe der Elektrotechnik ISSN: 23658029 ISBN: 9783731508212 Year: Volume: 33 Pages: IV, 235 p. DOI: 10.5445/KSP/1000084353 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-28 18:37:01
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The model-aided cathode design for lithium ion batteries is presented, which enables a systematically minimization of loss processes and an increase of power and energy density. The cathode model is parametrized without values from literature by combining microstructure analysis via FIB/SEM tomography and electrochemical impedance spectroscopy and finally validated.

Energiemanagement-Strategien für batterieelektrische Fahrzeuge

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Book Series: Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie ISSN: 21906629 ISBN: 9783731507734 Year: Volume: 17 Pages: X, 174 p. DOI: 10.5445/KSP/1000081011 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-28 18:37:01
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The energy management of battery electric vehicle is important for maximum utilisation of the battery. This book elaborates the requirements of the energy management and defines them as mathematical optimization problem. Strategies for the development process based on dynamic programming and for driving operation based on Pontryagin’s maximum principle are presented to consider all significant influences.

Characterization and Modeling of Electrochemical Energy Conversion Systems by Impedance Techniques

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Book Series: Schriften des Instituts für Werkstoffe der Elektrotechnik, Karlsruher Institut für Technologie / Institut für Werkstoffe der Elektrotechnik ISSN: 18681603 ISBN: 9783866449039 Year: Volume: 23 Pages: IX, 166 p. DOI: 10.5445/KSP/1000029318 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:58

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This thesis introduces (i) amendments to basic electrochemical measurement techniques in the time and frequency domain suitable for electrochemical energy conversion systems like fuel cells and batteries, which enable shorter measurement times and improved precision in both measurement and parameter identification, and (ii) a modeling approach that is able to simulate a technically relevant system just by information gained through static and impedance measurements of laboratory size cells.

Verfahren zur Charakterisierung des Niederfrequenzverhaltens von Lithium-Ionen Batterien

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Book Series: Schriften des Instituts für Angewandte Materialien - Werkstoffe der Elektrotechnik, Karlsruher Institut für Technologie / Institut für Angewandte Materialien - Werkstoffe der Elektrotechnik ISSN: 23658029 ISBN: 9783731506850 Year: Volume: 32 Pages: V, 192 p. DOI: 10.5445/KSP/1000070943 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:59
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In order to understand the current-voltage behaviour of a Lithium-Ion Battery, its impedance needs to be investigated in the low-frequency domain. This work deals with measurement, modelling and model validation in that low-frequency domain and introduces the Distribution-Function-of-Differential-Capacity (DDC) as a new tool for investigating capacity contributions of different particle sizes and particle types inside of a Lithium-Ion Battery.

Energy Storage and Management for Electric Vehicles

Authors: --- ---
ISBN: 9783039218622 / 9783039218639 Year: Pages: 238 DOI: 10.3390/books978-3-03921-863-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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This Special Edition of Energies on “Energy Storage and Management for Electric Vehicles” draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The addressed topics include design optimisation, mathematical modelling, control engineering, thermal management, and component sizing.

Keywords

zinc–nickel single-flow battery --- equivalent circuit model --- self-discharge --- dynamic flow rate optimization --- genetic algorithm --- hybrid power system --- electric vehicle --- rule-based optimal strategy --- dynamic programming approach --- thermal modelling --- thermal behaviour --- lithium titanate oxide batteries --- optimal control --- supercapacitors --- batteries --- fuel cell --- hybrid vehicle --- battery degradation --- battery energy storage system --- charging scheme --- efficiency --- electric vehicle --- linear programming --- lithium ion battery --- operating expenses --- residential battery storage --- vehicle-to-building --- supercapacitor models --- parameter estimation --- ECE15 --- HPPC --- Simulink --- Simscape --- Matlab --- Identification --- regenerative energy --- timetable optimization --- energy storage system --- ?-constraint method --- improved artificial bee colony --- lithium-ion battery --- equivalent circuit model --- recursive least square --- adaptive forgetting factor --- parameter identification --- energy storage ageing and degradation --- life cycle assessment --- second-life energy storage applications --- Li-Sulfur batteries --- lithium-ion battery --- cell sorting --- multi-parameters sorting --- principal component analysis --- self-organizing maps clustering --- battery charging --- cycle-life --- state-of-health (SOH) --- battery cycle-life extension --- nonlinear battery model --- state of charge estimation --- lithium-ion battery --- Lipschitz nonlinear system --- Luenberger observer

Computational Methods of Multi-Physics Problems

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ISBN: 9783039214174 / 9783039214181 Year: Pages: 128 DOI: 10.3390/books978-3-03921-418-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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This book offers a collection of six papers addressing problems associated with the computational modeling of multi-field problems. Some of the proposed contributions present novel computational techniques, while other topics focus on applying state-of-the-art techniques in order to solve coupled problems in various areas including the prediction of material failure during the lithiation process, which is of major importance in batteries; efficient models for flexoelectricity, which require higher-order continuity; the prediction of composite pipes under thermomechanical conditions; material failure in rock; and computational materials design. The latter exploits nano-scale modeling in order to predict various material properties for two-dimensional materials with applications in, for example, semiconductors. In summary, this book provides a good overview of the computational modeling of different multi-field problems.

Plug-in Hybrid Electric Vehicle (PHEV)

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ISBN: 9783039214532 / 9783039214549 Year: Pages: 230 DOI: 10.3390/books978-3-03921-454-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This book is based on the Special Issue of the journal Applied Sciences on “Plug-In Hybrid Electric Vehicles (PHEVs)”. This collection of research articles includes topics such as novel propulsion systems, emerging power electronics and their control algorithms, emerging electric machines and control techniques, energy storage systems, including BMS, and efficient energy management strategies for hybrid propulsion, vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V) technologies, and wireless power transfer (WPT) systems.

Keywords

battery power --- convex optimization --- dynamic programming --- engine-on power --- plug-in hybrid electric vehicle --- simulated annealing --- electric vehicle --- open-end winding --- dual inverter --- voltage vector distribution --- power sharing --- energy management --- range-extender --- CO2 --- air quality --- mobility needs --- LCA --- Paris Agreement --- hybrid energy storage system --- lithium-ion battery --- lithium-ion capacitor --- lifetime model --- power distribution --- state of health estimation --- adaptive neuron-fuzzy inference system (ANFIS) --- group method of data handling (GMDH) --- artificial neural network (ANN) --- electric vehicles (EVs) --- capacity degradation --- lithium-ion battery --- time-delay input --- interleaved multiport converte --- multi-objective genetic algorithm --- hybrid electric vehicles --- losses model --- wide bandgap (WBG) technologies --- Energy Storage systems --- LCA --- Well-to-Wheel --- electric vehicle --- plug-in hybrid --- electricity mix --- consequential --- attributional --- marginal --- system modelling --- energy system --- meta-analysis --- parallel hybrid electric vehicle --- regenerative braking --- fuel consumption characteristics --- energy efficiency --- state of charge --- lithium polymer battery --- electric vehicle --- Plugin Hybrid electric vehicle --- Li-ion battery --- modelling --- measurements --- state of charge --- strong track filter --- modified one-state hysteresis model --- Li(Ni1/3Co1/3Mn1/3)O2 battery --- energy management strategy --- Markov decision process (MDP) --- plug-in hybrid electric vehicles (PHEVs) --- Q-learning (QL) --- reinforcement learning (RL) --- novel propulsion systems --- emerging power electronics --- including wide bandgap (WBG) technology --- emerging electric machines --- efficient energy management strategies for hybrid propulsion systems --- energy storage systems --- life-cycle assessment (LCA)

Structural Prognostics and Health Management in Power & Energy Systems

Authors: --- --- --- --- et al.
ISBN: 9783039217663 / 9783039217670 Year: Pages: 218 DOI: 10.3390/books978-3-03921-767-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Philosophy
Added to DOAB on : 2020-01-30 16:39:46
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The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.

Keywords

prognostics --- residual useful life --- similarity-based approach --- supporting vector machine (SVM) --- reliability --- non-probabilistic reliability index --- sensitivity analysis --- techno-economic assessments --- life cycle cost --- vibration transmission mechanism --- underground powerhouse --- lateral-river vibration --- low frequency tail fluctuation --- rotation of hydraulic generator --- vertical axis wind turbine --- structural health monitoring --- operational modal analysis --- stochastic subspace identification --- vibration test --- offshore structures --- oil and gas platforms --- offshore wind turbines --- retrofitting activities --- renewable energy --- dynamic analysis --- wind and wave analysis --- dynamic analysis of the structure --- wave–structure interaction (WSI) --- probabilistic analyses of stochastic processes and frequency --- data-driven --- machine learning --- deep learning --- DNN --- prognostic and Health Management --- lithium-ion battery --- wind turbines --- health monitoring --- fault detection --- optimized deep belief networks --- supervisory control and data acquisition system --- multioperation condition --- wind turbine blade --- full-scale static test --- neural networks --- strain prediction --- dynamic fuzzy reliability analysis --- extremum surface response method --- weighted regression --- turbine blisk --- fuzzy safety criterion --- lithium-ion battery --- remaining useful life --- regeneration phenomenon --- wavelet decomposition --- NAR neural network --- empirical mode decomposition --- analysis mode decomposition --- analysis-empirical mode decomposition --- mode mixing --- sifting stop criterion

Thin Films for Energy Harvesting, Conversion, and Storage

Authors: --- ---
ISBN: 9783039217243 / 9783039217250 Year: Pages: 174 DOI: 10.3390/books978-3-03921-725-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Chemical Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Efficient clean energy harvesting, conversion, and storage technologies are of immense importance for the sustainable development of human society. To this end, scientists have made significant advances in recent years regarding new materials and devices for improving the energy conversion efficiency for photovoltaics, thermoelectric generation, photoelectrochemical/electrolytic hydrogen generation, and rechargeable metal ion batteries. The aim of this Special Issue is to provide a platform for research scientists and engineers in these areas to demonstrate and exchange their latest research findings. This thematic topic undoubtedly represents an extremely important technological direction, covering materials processing, characterization, simulation, and performance evaluation of thin films used in energy harvesting, conversion, and storage.

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