Battery System Modeling (Paperback)

Shunli Wang

ISBN 10: 0323904726 / ISBN 13: 9780323904728

Edité par Elsevier - Health Sciences Division, Philadelphia, 2021

A propos de cet article

Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

N° de réf. du vendeur 9780323904728

Détails bibliographiques

• Titre: Battery System Modeling (Paperback)
• Éditeur: Elsevier - Health Sciences Division, Philadelphia
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 0323904726
• ISBN à 13 chiffres: 9780323904728
• Reliure: Paperback
• État de l'article: new

A propos de ce titre

Synopsis

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.

• Explains how to model battery systems, including equivalent, electrical circuit and electrochemical nernst modeling
• Includes comprehensive coverage of battery state estimation methods, including state of charge estimation, energy prediction, power evaluation and health estimation
• Provides a dedicated chapter on active control strategies

À propos des auteurs

Shunli Wang is a professor at the Southwest University of Science and Technology, China. He is an authoritative expert in the field of new energy research. He is the head of DTlab, modeling, and state estimation strategy research for lithium-ion batteries. He has undertaken more than 40 projects and 30 patents, published more than 100 research papers as well as won 20 awards such as the Young Scholar, and Science & Technology Progress Awards.

Carlos Fernandez is a senior lecturer at Robert Gordon University, Scotland, UK. He received his Ph.D. in Electrocatalytic Reactions from The University of Hull and then worked as a Consultant Technologist in Hull and a post-doctoral position in Manchester. His research interests include Analytical Chemistry, Sensors and Materials, and Renewable Energy.

Yu Chunmei Ph.D was born in Rugao in Jiangsu Province, being interested in state estimation, system identification, and fault diagnosis. Teaching courses as automatic control theory, system identification, and modeling, etc. for undergraduate and postgraduate students. More than 10 research projects have participated in the recent 5 years, such as the Natural science funding, the Provincial Department of Science and Technology, and projects from enterprises. More than 30 papers have been published on various kinds of worldwide academic journals.