Editore: The Institution of Engineering and Technology, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 110,71
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Editore: The Institution of Engineering and Technology, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 132,74
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Editore: Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 145,73
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Aggiungi al carrelloHardback. Condizione: New. Batteries are a necessary part of a low-emission energy system, as they can store renewable electricity and assist the grid. Utility-scale batteries, with capacities of several to hundreds of MWh, are particularly important for condominiums, local grid nodes, and EV charging arrays. However, such batteries are expensive and need to be monitored and managed well to maintain capacity and reliability. Artificial intelligence offers a solution for effective monitoring and management of utility-scale batteries. This book systematically describes AI-based technologies for battery state estimation and modeling for utility-scale Li-ion batteries. Chapters cover utility-scale lithium-ion battery system characteristics, AI-based equivalent modeling, parameter identification, state of charge estimation, battery parameter estimation, offer samples and case studies for utility-scale battery operation, and conclude with a summary and prospect for AI-based battery status monitoring. The book provides practical references for the design and application of large-scale lithium-ion battery systems. AI for Status Monitoring of Utility-Scale Batteries is an invaluable resource for researchers in battery RandD, including battery management systems and related power electronics, battery manufacturers, and advanced students.
Editore: The Institution of Engineering and Technology, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 141,13
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 163,75
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Da: Majestic Books, Hounslow, Regno Unito
EUR 163,34
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Da: Majestic Books, Hounslow, Regno Unito
EUR 166,01
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Da: Books Puddle, New York, NY, U.S.A.
EUR 175,06
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Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Best Price, Torrance, CA, U.S.A.
EUR 172,27
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 163,40
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Da: Books Puddle, New York, NY, U.S.A.
EUR 180,31
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 183,85
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 173,52
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Da: Chiron Media, Wallingford, Regno Unito
EUR 171,71
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Aggiungi al carrelloPaperback. Condizione: New.
Editore: Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 148,56
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Aggiungi al carrelloHardback. Condizione: New. Batteries are a necessary part of a low-emission energy system, as they can store renewable electricity and assist the grid. Utility-scale batteries, with capacities of several to hundreds of MWh, are particularly important for condominiums, local grid nodes, and EV charging arrays. However, such batteries are expensive and need to be monitored and managed well to maintain capacity and reliability. Artificial intelligence offers a solution for effective monitoring and management of utility-scale batteries. This book systematically describes AI-based technologies for battery state estimation and modeling for utility-scale Li-ion batteries. Chapters cover utility-scale lithium-ion battery system characteristics, AI-based equivalent modeling, parameter identification, state of charge estimation, battery parameter estimation, offer samples and case studies for utility-scale battery operation, and conclude with a summary and prospect for AI-based battery status monitoring. The book provides practical references for the design and application of large-scale lithium-ion battery systems. AI for Status Monitoring of Utility-Scale Batteries is an invaluable resource for researchers in battery RandD, including battery management systems and related power electronics, battery manufacturers, and advanced students.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 184,38
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 187,62
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 194,21
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Editore: Inst of Engineering & Technology, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 179,35
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Aggiungi al carrelloHardcover. Condizione: Brand New. 300 pages. 9.21x6.14x1.26 inches. In Stock.
Editore: Elsevier - Health Sciences Division, US, 2023
ISBN 10: 0443161607 ISBN 13: 9780443161605
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 235,01
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Aggiungi al carrelloPaperback. Condizione: New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.
Editore: Elsevier - Health Sciences Division, US, 2023
ISBN 10: 0443161607 ISBN 13: 9780443161605
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 253,91
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Aggiungi al carrelloPaperback. Condizione: New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.
Editore: Elsevier - Health Sciences Division, US, 2023
ISBN 10: 0443161607 ISBN 13: 9780443161605
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 238,66
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloPaperback. Condizione: New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.
Editore: Elsevier - Health Sciences Division, US, 2023
ISBN 10: 0443161607 ISBN 13: 9780443161605
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 239,10
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloPaperback. Condizione: New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.
Da: moluna, Greven, Germania
EUR 56,83
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shunli Wang is Professor with the School of Electrical Engineering, Southwest University of Science and Technology, China. He is an authoritative expert in the field of new energy research, the head of DTlab and the new energy measurement & control r.
Da: moluna, Greven, Germania
EUR 146,29
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shunli Wang is Professor with the School of Electrical Engineering, Southwest University of Science and Technology, China. He is an authoritative expert in the field of new energy research, the head of DTlab and the new energy measurement & control r.
Da: Revaluation Books, Exeter, Regno Unito
EUR 178,15
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Aggiungi al carrelloPaperback. Condizione: Brand New. 376 pages. 8.94x6.02x0.94 inches. In Stock. This item is printed on demand.