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
Subjects:
Lithium cells.
Artificial intelligence.
elektronické knihy
electronic books
ISBN: 1839537396
9781839537394
1839537388
9781839537387
Physical Description: 1 online resource (xx, 473 pages) : illustrations

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Table of contents

LEADER 03452cam a2200445 i 4500
001 kn-on1350921830
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 221117t20222022enka ob 001 0 eng c
040 |a UAB  |b eng  |e rda  |e pn  |c UAB  |d UPM  |d UIU  |d OCLCF  |d YDX  |d OCLCQ  |d N$T  |d MUU  |d VLB  |d UAB  |d OCLCO  |d MUU  |d TMA  |d OCLCQ 
020 |a 1839537396  |q (PDF) 
020 |a 9781839537394  |q (electronic bk.) 
020 |z 1839537388  |q (hardback) 
020 |z 9781839537387  |q (hardback) 
035 |a (OCoLC)1350921830 
100 1 |a Wang, Shunli,  |d 1985-  |e author. 
245 1 0 |a AI for status monitoring of utility scale batteries /  |c Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez and Josep M. Guerrero. 
264 1 |a London, United Kingdom :  |b Institution of Engineering and Technology,  |c 2022 
264 4 |c ©2022 
300 |a 1 online resource (xx, 473 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Lithium cells. 
650 0 |a Artificial intelligence. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Liu, Kailong,  |e author. 
700 1 |a Wang, Yujie  |c (Professor of automation),  |e author. 
700 1 |a Stroe, Daniel-I.  |q (Daniel Ioan),  |e author. 
700 1 |a Fernández, Carlos  |c (Lecturer in Analytical Chemistry),  |e author. 
700 1 |a Guerrero, Josep M.,  |e author. 
776 0 8 |i Print version:  |t AI for status monitoring of utility scale batteries.  |d London, United Kingdom : Institution of Engineering and Technology, 2022  |z 9781839537387  |w (OCoLC)1334718493 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpAISMUSBB/ai-for-status?kpromoter=marc  |y Full text 

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