Battery system modeling / Shunli Wang, Yongcun Fan, Daniel-Ioan Stroe, Carlos Fernandez, Chunmei Yu, Wen Cao, Zonghai Chen.
Editor: Cambridge, MA : Elsevier, 2021Descripción: v, 347 páginas : gráficas ; 24 cmTipo de contenido: texto Tipo de medio: sin medio Tipo de portador: volumenISBN: 9780323904728Tema(s): Baterías de iones de litio -- Diseño y construcción | Baterías de iones de litio -- Modelos matemáticosClasificación LoC:TK2945.L58 | .W35 2021Clasificación: Resumen: 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.| Tipo de ítem | Biblioteca actual | Tipo de materiales | Clasificación | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Préstamo general | Biblioteca Gerardo Cornejo Murrieta Acervo General | Libro | TK2945.L58 .W35 2021 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | 63304 |
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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.
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