State Estimation Strategies in Lithium-ion Battery Management Systems Paperback / softback
by Shunli (Southwest University of Science and Technology, China) Wang, Kailong Liu, Yujie (University of Science and Technology of China, China) Wang, Daniel-Ioan (Department of Energy Technology, Aalborg University, Denmark Department of Energ Stroe, Carlos (Robert Gordon University, Aberdeen, UK) Fernandez, Josep M. (Full Professor, AAU Energy, Aalborg University and Director of the Center for Re Guerrero
Paperback / softback
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Description
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.
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In Stock - Less than 10 copies availableFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:376 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:20/07/2023
- Category:
- ISBN:9780443161605
Information
-
In Stock - Less than 10 copies availableFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:376 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:20/07/2023
- Category:
- ISBN:9780443161605