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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom :
Institution of Engineering and Technology,
2022
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | KNOVEL_on1350921830 | ||
| 003 | OCoLC | ||
| 005 | 20231027140348.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 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 | ||
| 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 | ||
| 050 | 4 | |a TK2945.L58 | |
| 082 | 0 | 4 | |a 621.312424 |q OCoLC |2 23/eng/20230203 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Wang, Shunli, |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 Ã2022 | |
| 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. | ||
| 588 | 0 | |a Online resource; title from online title page (November 17, 2022). | |
| 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 ACADEMIC - Software Engineering | ||
| 590 | |a Knovel |b ACADEMIC - Sustainable Energy & Development | ||
| 650 | 0 | |a Lithium cells. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 7 | |a Artificial intelligence. |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Lithium cells. |2 fast |0 (OCoLC)fst01000229 | |
| 700 | 1 | |a Liu, Kailong, |e author. | |
| 700 | 1 | |a Wang, Yujie |c (Professor of automation), |e author. | |
| 700 | 1 | |a Stroe, Daniel-Ioan, |e author. | |
| 700 | 1 | |a Fernandez, Carlos, |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://appknovel.uam.elogim.com/kn/resources/kpAISMUSBB/toc |z Texto completo |
| 938 | |a YBP Library Services |b YANK |n 18691962 | ||
| 938 | |a EBSCOhost |b EBSC |n 3505533 | ||
| 994 | |a 92 |b IZTAP | ||