![Multidimensional Lithium-Ion Battery Status Monitoring](/uploads/posts/2022-11/1667947267_1671_multidim_nsional_lithium_ion_batt_ry_status_monitoring.jpg)
Автор: Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe
Издательство: CRC Press
Год: 2023
Страниц: 355
Язык: английский
Формат: pdf (true)
Размер: 56.6 MB
The development of new energy technology is a strategic measure to alleviate the world energy crisis and achieve the goal of carbon neutrality. Focusing on new energy technology based on the lithium-ion battery, this book examines concepts such as equivalent circuit modeling, parameter identification, and state estimation in lithium-ion battery power applications. This book systematically describes the key technologies in state estimation based on equivalent modeling and parameter identification methods of lithium-ion batteries. It mainly includes an overview of the lithium-ion batteries, equivalent modeling, parameter identification, state of charge estimation, state of health estimation, state of power estimation, state of energy estimation, and cycle life estimation. It also provides practical references for the design and application of lithium-ion battery management systems (BMSs), which are based on the technical requirements of lithium-ion battery applications compiled from the perspective of equivalent circuit modeling and state estimation of lithium-ion batteries. This book has distinctive features and employs the use of a variety of methods and techniques for state estimation and has rich examples that can serve as a guide and reference material. This book can be used as a textbook for control science and engineering, automation, electrical engineering, and other related majors in colleges and universities, as well as a resource in the field of new energy measurement and control.