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1. |
Record Nr. |
UNINA990009694900403321 |
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Autore |
Pocock, Stuart J. |
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Titolo |
Sperimentazioni cliniche : un approccio pratico / Stuart J. Pocock ; presentazione di M. Motolese |
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Torino : Centro scientifico torinese, 1986 |
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Descrizione fisica |
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Collana |
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Collana di metodologia biostatistica e informatica in medicina |
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Collocazione |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA990006008480403321 |
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Autore |
Stojanovic, Srdjan |
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Titolo |
Die Parteiautinomie und der internationale Entscheidungseinklang unter besonderer / SRDJAN STOJANOVIC |
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Zurich, : Schlthess polygr. verlag, 1983 |
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Descrizione fisica |
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Collana |
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Schweirer Studien z um internabanalen Rech t ; 29 |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910639881603321 |
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Autore |
Ouyang Quan |
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Titolo |
Advanced model-based charging control for lithium-ion batteries / / Quan Ouyang, Jian Chen |
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Singapore : , : Huazhong University of Science and Technology Press : , : Springer, , [2023] |
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©2023 |
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Descrizione fisica |
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1 online resource (182 pages) |
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Disciplina |
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Soggetti |
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Battery chargers |
Lithium ion batteries |
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Materiale a stampa |
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Monografia |
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Nota di contenuto |
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Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Brief |
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Introduction of Lithium-Ion Batteries -- 1.1.1 Comparison with Other Commonly Used Batteries -- 1.1.2 Applications of Lithium-Ion Batteries -- 1.2 Format Comparison of Lithium-Ion Batteries -- 1.3 Electrochemical Mechanism of Lithium-Ion Batteries -- 1.3.1 Composition of Lithium-Ion Batteries -- 1.3.2 Charging-Discharging Mechanism -- 1.4 Motivation of Advanced Model-Based Battery Charging Control -- 1.4.1 Non-model-based Charging Control -- 1.4.2 Model-Based Charging Control -- References -- 2 Lithium-Ion Battery Charging Technologies: Fundamental Concepts -- 2.1 Definitions Related to Battery Charging -- 2.1.1 Basic Performance Parameters -- 2.1.2 State Indicators -- 2.2 Charging Objectives and Constraints -- 2.2.1 Charging Objectives -- 2.2.2 Safety-Related Constraints -- References -- 3 Lithium-Ion Battery Models -- 3.1 Electrochemical Models -- 3.1.1 Pseudo-Two-Dimensional Model -- 3.1.2 One-Dimensional Model -- 3.1.3 Single Particle Model -- 3.2 Equivalent Circuit Models -- 3.2.1 Rint Model -- 3.2.2 Thevenin Model -- 3.2.3 PNGV Model -- References -- 4 Neural Network-Based State of Charge Observer for Lithium-Ion Batteries -- 4.1 Battery Model -- 4.2 Neural Network-Based Nonlinear Observer Design for SOC Estimation -- 4.2.1 Neural Network-Based Nonlinear Observer Design -- 4.2.2 Convergence Analysis -- 4.3 Experimental Results -- 4.3.1 Experiment for Parameter Extraction -- 4.3.2 Experiments for SOC Estimation -- References -- 5 Co-estimation of State of Charge and Model Parameters for Lithium-Ion Batteries -- 5.1 Battery Model -- 5.2 Co-estimation of Model Parameters and SOC -- 5.2.1 On-line Battery Model Parameter Identification -- 5.2.2 Robust Observer for SOC Estimation -- 5.2.3 Summary of the Overall SOC Estimation Strategy -- 5.3 Experimental Results. |
5.3.1 Experimental Results for Battery Model Parameter On-line Identification -- 5.3.2 Experimental Results for SOC Estimation -- References -- 6 User-Involved Battery Charging Control with Economic Cost Optimization -- 6.1 Battery Model and Constraints -- 6.1.1 Battery Model -- 6.1.2 Safety-Related Constraints -- 6.2 Charging Tasks -- 6.2.1 User-Involved Charging Task -- 6.2.2 Economic Cost Optimization -- 6.2.3 Energy Loss Reduction -- 6.2.4 Multi-objective Formulation -- 6.3 Optimal Battery Charging Control Design -- 6.3.1 Optimal Charging Control Algorithm -- 6.3.2 Optimal Charging Current Determined by Barrier Method -- 6.4 Simulation Results -- 6.4.1 Charging Results -- 6.4.2 Comparison with Other Commonly Used Optimization Algorithms -- 6.4.3 Comparison with Charging Control Strategy without Economic Cost Optimization -- 6.4.4 Comparison with Charging Control Strategy Without Energy Loss Optimization -- 6.4.5 Simulation Results for Different Weight Selections -- 6.4.6 Simulation Results for Different User Demands -- 6.4.7 Comparison with Traditional CC-CV Charging Methods -- 6.5 Experimental Results -- References -- 7 Charging Analysis for Lithium-Ion Battery Packs -- 7.1 Cell Equalization Analysis -- 7.2 Multi-module Battery Pack Charger -- 7.2.1 Model and Control of Battery Pack Charger -- 7.2.2 Performance Validation -- 7.3 Battery Pack Charging System Combining Traditional Charger and Equalizers -- 7.3.1 Classification of Equalization Systems -- 7.3.2 Bidirectional Modified Cûk Converter-Based Equalizer -- 7.3.3 Modified Isolated Bidirectional Buck-Boost Converter-Based Equalizer -- References -- 8 User-Involved Charging Control for Battery Packs: Centralized Structure -- 8.1 Battery Pack Model and Constraints -- 8.1.1 Battery Pack Model -- 8.1.2 Charging Constraints -- 8.2 User-Involved Charging Control Design for Battery Packs. |
8.2.1 Charging Objectives -- 8.2.2 Optimal Battery Pack Charging Control Design -- 8.3 Simulation Results -- 8.3.1 Charging Results -- |
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8.3.2 High Current Charging -- 8.3.3 Effect Analysis of Weight Selection -- 8.4 Experimental Results -- References -- 9 User-Involved Charging Control for Battery Packs: Leader-Followers Structure -- 9.1 Charging Model and Constraints -- 9.1.1 Battery Pack Model -- 9.1.2 Safety-Related Charging Constraints -- 9.2 User-Involved Optimal Charging Control Design -- 9.2.1 User-Involved Charging Task Formulation -- 9.2.2 Optimal Average Charging Trajectory Generation -- 9.2.3 Distributed SOC Tracking-Based Charging Control -- 9.2.4 Different Sampling Period Setting for Two Control Layers -- 9.3 Simulation Results and Discussions -- 9.3.1 Charging Results -- 9.3.2 Discussions -- References -- 10 Fast Battery Charging Control for Battery Packs -- 10.1 Charging Model for the Battery Pack -- 10.1.1 Charging Current Model -- 10.1.2 Battery Pack Model -- 10.2 Control Objectives and Constraints -- 10.2.1 Charging Objectives -- 10.2.2 Charging Constraints -- 10.3 Fast Charging Control Strategy Design -- 10.3.1 Charging Control Algorithm Formulation -- 10.3.2 Two-Layer Optimization Algorithm -- 10.4 Simulation Results -- 10.5 Experimental Results -- References -- 11 The Future of Lithium-Ion Battery Charging Technologies -- 11.1 Multi-objective Optimization-Based Charging Technologies -- 11.2 High Efficient Battery Pack Charging Technologies -- 11.3 Wireless Charging Technologies. |
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4. |
Record Nr. |
UNINA9910155446803321 |
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Autore |
Reinmuth Marcus |
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Titolo |
Kommunikation für Banken und Versicherer : Krisen bewältigen, Vertrauen schaffen / / Marcus Reinmuth, Inga Ellen Kastens, Patrick Vosskamp |
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Berlin, [Germany] : , : Schäffer Poeschel Verlag, , 2016 |
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©2016 |
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ISBN |
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Edizione |
[1. Auflage 2016] |
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Descrizione fisica |
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1 online resource (375 pages) |
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Collana |
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Disciplina |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Teil 1: Analytische Zugänge zur KommunikationTeil 2: Impulse aus der Praxis |
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Sommario/riassunto |
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Long description: Finanzkrise, Bankenpleite, Kreditklemme. Die Ereignisse nach der Lehman-Pleite im Jahr 2008 haben die Reputation der Bankenbranche bis heute beschädigt. Und auch das Vertrauen in Versicherer schwindet, nachdem verschiedene Skandale und Krisen das Image der Branche nachhaltig prägten. Darüber hinaus wirkt die Kommunikation oft zu bürokratisch, unglaubwürdig oder gar zynisch.Wie lässt sich Vertrauen zurückgewinnen? Wie gelingt es den Branchen, ihre Relevanz für Wirtschaft und Gesellschaft überzeugend und sympathisch zu kommunizieren? Wie gestaltet sich der Umgang mit neuen Medien? Das Handbuch beleuchtet die branchenspezifischen Herausforderungen, gibt Einblicke in bewährtes Praxiswissen und zeigt innovative Ansätze auf.Best-Practice-Beispiele illustrieren das Vorgehen im Umgang mit realen kommunikativen Aufgaben. |
Biographical note: Marcus Reinmuth Dr. Marcus Reinmuth ist Kommunikationsexperte bei einem international tätigen Versicherer in Frankfurt am Main. Inga Ellen Kastens Dr. Inga Ellen Kastens ist Managementberaterin in den Bereichen Marke, Unternehmenskommunikation und Unternehmenskultur. Patrick Voßkamp Dr. Patrick Voßkamp ist Oberstudienrat im Hochschuldienst im Institut für Germanistik der Universität Duisburg-Essen. |
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