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Language EnglishEnglish
Book Paperback
Book Battery System Modeling Shunli Wang
Libristo code: 35336849
Publishers Elsevier - Health Sciences Division, June 2021
Battery System Modeling provides the latest advances on the modeling of lithium-ion batteries. Offer... Full description
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Battery System Modeling provides the latest advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modelling of state of charge estimation, state of energy prediction, state of power evaluation, state of health estimation, and active control strategies. Using applications alongside practical case studies, each chapter also shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, and algorithms are provided in every chapter, providing everything needed for accurate and reliable modelling. 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 all aspects of batteries and energy storage devices at various scales. 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. Explains step-by-step how to model battery systems, including equivalent, electrical circuit and electrochemical nernst modellingIncludes comprehensive coverage of battery state estimation methods including; state of charge estimation, state of energy prediction, state of power evaluation, and state of health estimationProvides a dedicated chapter on active control strategies

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About the book

Full name Battery System Modeling
Language English
Binding Book - Paperback
Date of issue 2021
Number of pages 354
EAN 9780323904728
Libristo code 35336849
Weight 714
Dimensions 231 x 201 x 22
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