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Beschreibung

Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage.

Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates.

Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage.

Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates.

Details
Erscheinungsjahr: 2021
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780323904728
ISBN-10: 0323904726
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Wang, Shunli (Department of Energy Technology, Aalborg University, Denmark)
Fernandez, Carlos (Robert Gordon University, Aberdeen, UK)
Chunmei, Yu (School of Information Engineering, Southwest University of Science and Technology, China)
Yongcun, Fan (Sc
Hersteller: Elsevier - Health Sciences Division
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Abbildungen: Approx. 110 illustrations; Illustrations, unspecified
Maße: 201 x 231 x 22 mm
Von/Mit: Shunli Wang (u. a.)
Erscheinungsdatum: 25.06.2021
Gewicht: 0,608 kg
Artikel-ID: 119696528

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