Description: Further DetailsTitle: State Estimation Strategies in Lithium-ion Battery Management SystemsCondition: NewEAN: 9780443161605ISBN: 9780443161605Publisher: Elsevier - Health Sciences DivisionFormat: PaperbackRelease Date: 07/20/2023Description: State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, R&D professionals, and other industry personnel.Language: EnglishCountry/Region of Manufacture: USItem Height: 229mmItem Length: 152mmItem Weight: 450gAuthor: Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez, Josep M. GuerreroGenre: Technology & EngineeringRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: State Estimation Strategies in Lithium-ion Battery Management Sys
Title: State Estimation Strategies in Lithium-ion Battery Management Sys
EAN: 9780443161605
ISBN: 9780443161605
Release Date: 07/20/2023
Release Year: 2023
Country/Region of Manufacture: US
Item Height: 229mm
Item Weight: 450g
Genre: Technology & Engineering
Number of Pages: 400 Pages
Language: English
Publication Name: State Estimation Strategies in Lithium-Ion Battery Management Systems
Publisher: Elsevier
Publication Year: 2023
Subject: Materials Science / General, Energy, Power Resources / Electrical, Electronics / Microelectronics, Industries / Energy, Power Resources / General, Electronics / General, Electronics / Digital
Type: Textbook
Subject Area: Technology & Engineering, Science, Business & Economics
Author: Daniel-Ioan Stroe, Carlos Fernandez, Shunli Wang, Yujie Wang, Kailong Liu
Item Length: 9 in
Item Width: 6 in
Format: Trade Paperback
