AI for status monitoring of utility scale batteries

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 ba...

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Main Authors: Wang, Shunli, 1985- (Author), Liu, Kailong, (Author), Wang, Yujie (Professor of automation), (Author), Stroe, Daniel-I. (Author), Fernández, Carlos (Lecturer in Analytical Chemistry), (Author), Guerrero, Josep M., (Author)
Format: eBook
Language: English
Published: London, United Kingdom : Institution of Engineering and Technology, 2022
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ISBN: 1839537396
9781839537394
1839537388
9781839537387
Physical Description: 1 online resource (xx, 473 pages) : illustrations

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Summary: 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. <italic>AI for Status Monitoring of Utility-Scale Batteries</italic> is an invaluable resource for researchers in battery R&D, including battery management systems and related power electronics, battery manufacturers, and advanced students.
Bibliography: Includes bibliographical references and index.
ISBN: 1839537396
9781839537394
1839537388
9781839537387
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty