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AI for Status Monitoring of Utility Scale Batteries (Hardcover) Loot Price: R3,113
Discovery Miles 31 130
You Save: R336 (10%)
AI for Status Monitoring of Utility Scale Batteries (Hardcover): Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe,...

AI for Status Monitoring of Utility Scale Batteries (Hardcover)

Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez, Josep M. Guerrero

Series: Energy Engineering

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List price R3,449 Loot Price R3,113 Discovery Miles 31 130 | Repayment Terms: R292 pm x 12* You Save R336 (10%)

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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 R&D, including battery management systems and related power electronics, battery manufacturers, and advanced students.

General

Imprint: Institution Of Engineering And Technology
Country of origin: United Kingdom
Series: Energy Engineering
Release date: 2023
First published: 2023
Authors: Shunli Wang (Professor) • Kailong Liu (Assistant Professor) • Yujie Wang (Associate Professor) • Daniel-Ioan Stroe (Associate Professor) • Carlos Fernandez (Senior Lecturer) • Josep M. Guerrero (Full Professor)
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 495
ISBN-13: 978-1-83953-738-7
Categories: Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Energy conversion & storage
Books > Professional & Technical > Transport technology > Automotive technology > General
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LSN: 1-83953-738-8
Barcode: 9781839537387

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