Advanced Model-Based Charging Control for Lithium-Ion Batteries...

Details

Title Advanced Model-Based Charging Control for Lithium-Ion Batteries
Author Quan Ouyang; Jian Chen
Binding Hardback
Condition New
Pages 176
Volumes 1
Language ENG
Publisher Springer
Publication date 1st ed. 2023 edition NO-PA1
Bookseller's Inventory # 6396358813
ISBN 9789811970580 / 9811970580
Weight 1 lbs (0.45 kg)
Dimensions 9.06 x 5.83 x 0.39 in (23.01 x 14.81 x 0.99 cm)
Category Technology & Industrial Arts
Quantity available 4

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From the publisher

In this book, the most state-of-the-art advanced model-based charging control technologies for lithium-ion batteries are explained from the fundamental theories to practical designs and applications, especially on the battery modelling, user-involved, and fast charging control algorithm design. Moreover, some other necessary design considerations, such as battery pack charging control with centralized and distributed structures, are also introduced to provide excellent solutions for improving the charging performance and extending the lifetime of the batteries/battery packs. Finally, some future directions are mentioned in brief.

This book summarizes the model-based charging control technologies from the cell level to the battery pack level. From this book, readers interested in battery management can have a broad view of modern battery charging technologies. Readers who have no experience in battery management can learn the basic concept, analysismethods, and design principles of battery charging systems. Even for the readers who are occupied in this area, this book also provides rich knowledge on engineering applications and future trends of battery charging technologies.

From the rear cover

In this book, the most state-of-the-art advanced model-based charging control technologies for lithium-ion batteries are explained from the fundamental theories to practical designs and applications, especially on the battery modelling, user-involved, and fast charging control algorithm design. Moreover, some other necessary design considerations, such as battery pack charging control with centralized and distributed structures, are also introduced to provide excellent solutions for improving the charging performance and extending the lifetime of the batteries/battery packs. Finally, some future directions are mentioned in brief.

This book summarizes the model-based charging control technologies from the cell level to the battery pack level. From this book, readers interested in battery management can have a broad view of modern battery charging technologies. Readers who have no experience in battery management can learn the basic concept, analysis methods, and design principles of battery charging systems. Even for the readers who are occupied in this area, this book also provides rich knowledge on engineering applications and future trends of battery charging technologies.

About the author

Dr. Quan Ouyang received the Bachelor's degree in Automation from Huazhong University of Science and Technology, Wuhan, China, in 2013 and the Ph.D. degree in Control Science and Engineering from Zhejiang University, Hangzhou, China, in 2018. He is currently an associate professor in the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests mainly include battery management, modelling and control of fuel cell systems, and nonlinear control.

Dr. Jian Chen received the B.E. and M.E. degrees from Zhejiang University, Hangzhou, China, in 1998 and 2001, respectively, and the Ph.D. degree in Electrical Engineering from Clemson University, Clemson, SC, USA, in 2005. He was a research fellow with the University of Michigan, Ann Arbor, MI, USA, from 2006 to 2008, where he was involved in fuel cell modelling and control. In 2013, he joined the Department of Control Science andEngineering, Zhejiang University, where he is currently a professor with the School of Mechanical Engineering, Zhejiang University. His research interests include modelling and controlling fuel cell systems, vehicle control and intelligence, visual servo techniques, battery management systems, and nonlinear control.

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