Battery System Modeling - Cao Wen

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Auteur(s) : Cao Wen - Carlos Fernandez - Daniel-Ioan Stroe - Shunli Wang - Yongcun Fan - Yu Chunmei - Zonghai Chen

Editeur : Elsevier - Health Sciences Division

Langue : Anglais

Parution : 01/06/2021

Format : Moyen, de 350g à 1kg

Nombre de pages : 354

Expédition : 714

Dimensions : 20.1 x 23.1 x 22.0

ISBN : 9780323904728

Résumé :

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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Biographie:

1. Li-ion Battery Characteristics and Applications
2. Electrical Equivalent Circuit Modeling
3. Electrochemical Nernst Modeling
4. Battery State Estimation Methods
5. Battery State-of-charge Estimation Methods
6. Battery State-of-energy Prediction Methods
7. Battery State-of-power Evaluation Methods
8. Battery State-of-health Estimation Methods
9. Battery System Active Control Strategies

Sommaire:
Shunli Wang is a professor and doctoral supervisor, Executive Vice President of Smart Energy Storage Institute, Academic Dean of Electric Power College at Inner Mongolia University of Technology, Academic Member of Beijing Innovation Society, Deputy Director of Energy Storage Technology Center of National Joint Laboratory of Renewable Energy, Deputy General Manager of Daqingshan Laboratory of Inner Mongolia Electric Power Group, Visiting Professor/Doctoral Director of Xi'an Jiaotong Liverpool University, Academician of Russian Academy of Natural Sciences, IETFlow, Academic Leader of the National Electrical Safety and Quality Testing Center, Provincial Qingcheng Tianfu Scientific and Technological Talents, Provincial high-level overseas talents, provincial Class A Tianfu talents, the first batch of academic and technical leaders in China Science and Technology City, and the top 2% of the world's top scientists. His research interests include modeling, state estimation, and safety management for energy storage systems. 56 projects have been undertaken, supported by the National Natural Science Foundation of China and the Provincial Science and Technology Department, et al. 63 intellectual property rights have been approved. 9 monographs have been published by famous publishers of Elsevier and IET, and so on. He has won 9 awards at provincial and ministerial levels, including 3 international gold medals, 17 international conference chairmen, 5 editorial boards of international and domestic Chinese journals, a core technical achievements appraisal reaching an international advanced level, reported by the People's Daily....