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Hardback or Cased Book. Condition: New. Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis. Book.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032367903 ISBN 13: 9781032367903
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. Batteries are of vital importance for storing intermittent renewable energy for stationary and mobile applications. In order to charge the battery and maintain its capacity, the states of the battery - such as the current charge, safety and health, but also quantities that cannot be measured directly - need to be known to the battery management system. State estimation estimates the electrical state of a system by eliminating inaccuracies and errors from measurement data. Numerous methods and techniques are used for lithium-ion and other batteries. The various battery models seek to simplify the circuitry used in the battery management system. This concise work captures the methods and techniques for state estimation needed to keep batteries reliable. The book focuses particularly on mechanisms, parameters and influencing factors. Chapters convey equivalent modelling and several Kalman filtering techniques, including adaptive extended Kalman filtering for multiple battery state estimation, dual extended Kalman filtering prediction for complex working conditions, and particle filtering of safety estimation considering the capacity fading effect. This book is necessary reading for researchers in battery research and development, including battery management systems and related power electronics, for battery manufacturers, and for advanced students in power electronics.
Condition: New. Shunli Wang is Professor, Academic Dean, Academic Leader of the National Electrical Safety and Quality Testing Center, Academician of the Russian Academy of Natural Sciences, Senior Overseas Study Talent of Sichuan Province, and Academic and Techn.
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Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032777915 ISBN 13: 9781032777917
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Condition: New. 1st edition NO-PA16APR2015-KAP.
Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535296 ISBN 13: 9781839535291
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Language: English
Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839537388 ISBN 13: 9781839537387
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: 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.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.