Battery System Modeling

Name: Battery System Modeling
Brand: Elsevier - Health Sciences Division
SKU: 9780323904728
Price: 177.08 EUR
Availability: InStock

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

Език:

Корици: С меки корици

Издател: Elsevier - Health Sciences Division

Наличност: Външен склад

Изпращаме след 9-15 дни

177.08 € 346.33 лв

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

Информация за книгата

Автор

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

Език

Английски език

Корици

Книга - С меки корици

Издадена

2021

страници

354

EAN

9780323904728

Enbook ID

35336849

Издател

Elsevier - Health Sciences Division

Теглоt

714

Размери

231 x 201 x 22

Пълно описание

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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Пълно описание

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