Battery System Modeling

Name: Battery System Modeling
Brand: Elsevier - Health Sciences Division
SKU: 9780323904728
Price: 967.28 RON
Availability: InStock

Autor: Shunli Wang, Carlos Fernandez, Yu Chunmei, Yongcun Fan, Cao Wen, Daniel-Ioan Stroe, Zonghai Chen

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Legare: Carte broșată

Editura: Elsevier - Health Sciences Division

Disponibilitate: În depozitul extern

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967.28 lei

Battery System Modeling provides the latest advances on the modeling of lithium-ion batteries. Offer...

Informații despre carte

Autor

Shunli Wang, Carlos Fernandez, Yu Chunmei, Yongcun Fan, Cao Wen, Daniel-Ioan Stroe, Zonghai Chen

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2021

Pagini

354

EAN

9780323904728

Enbook ID

35336849

Editura

Elsevier - Health Sciences Division

Greutate

714

Dimensiuni

231 x 201 x 22

Descriere completă

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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