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 112,31
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Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
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 147,84
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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 141,77
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Aggiungi al carrelloCondizione: New. In.
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 151,48
Convertire valutaQuantità: Più di 20 disponibili
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: Inst of Engineering & Technology, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 181,79
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Aggiungi al carrelloHardcover. Condizione: Brand New. 300 pages. 9.21x6.14x1.26 inches. In Stock.
Editore: INSTITUTION OF ENGINEERING & T, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 161,16
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Aggiungi al carrelloCondizione: New. Über den AutorShunli Wang is a professor at Southwest University of Science and Technology, Sichuan, China. He is an expert in the field of new energy research. He is the head of NELab, conducting modeling and state estimation st.
Editore: Institution Of Engineering & Technology Jan 2023, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 200,82
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Utility-scale Li-ion batteries are poised to play key roles for the clean energy system, but their failure has severe effects. AI can help with their monitoring and management. This work covers machine learning, neural networks, and deep learning, for battery modeling.
Editore: Institution of Engineering and Technology, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 161,78
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 185.