About the Book
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.
Table of Contents:
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
About the Author :
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. 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. Fan Yongcun Ph.D is a core member of the new energy measurement and control research team. Focusing on the measurement and control needs of the new energy field, signal detection and state estimation, anti-interference processing, and control strategy research are carried out to explore the state detection and control theory. Cao Wen Ph.D main research is based on the battery measurement and control technology, the research of charging algorithms, sensors, and the experimental test device is carried out. In the past five years, he has undertaken more than 10 scientific research projects of the Ministry of education of China and the science and Technology Department of Sichuan Province and published more than 20 research papers together with lab members. Daniel-Ioan Stroe Ph.D received the Dipl.-Ing. degree in automatics from the Transylvania University of Brasov, Brasov, Romania, in 2008, and the M.Sc. degree in wind power systems and the Ph.D. degree in lifetime modelling of lithium-ion batteries from Aalborg University, Aalborg, Denmark, in 2010 and 2014, respectively. He is currently an Assistant Professor with the Department of Energy Technology, Aalborg University. He was a Visiting Researcher at RWTH Aachen, Germany, in 2013. He has coauthored more than 70 journals and conference papers. His current research interests include energy storage systems for grid and e-mobility, Lithium-based batteries testing and modelling, and lifetime estimation of lithium-ion batteries. Zonghai Chen Ph.D was born in Anhui, China, in December 1963. He received the B.S. and M.E. degrees from the University of Science and Technology of China (USTC), Hefei, China, in 1988 and 1991, respectively. He has been a Professor with the Department of Automation, USTC, since 1998. His main research interests include modeling and control of complex systems, intelligent robotic and information processing, energy management technologies for electric vehicles, and smart microgrids. Prof. Chen is a recipient of special allowances from the State Council of China. He is a member of the Robotics Technical Committee and Modelling, Identification and Signal Processing Technical Committee of the International Federation of Automation Control.
