Название: Multidimensional Lithium-Ion Battery Status Monitoring
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. These measurement and control techniques can be used as a technical reference for researchers.

In recent years, power battery technology has rapidly developed and gradually matured, and lithium-ion batteries have become the main body of power batteries. During the energy storage and supply process of the lithium-ion battery pack, the BMS monitors its working status and manages the available energy. Due to the high safety requirements and complex working conditions of the lithium-ion battery packs, equivalent circuit modeling and state of charge estimation in applications have become the research hot spots.

Summarizing the battery pack application theory, experience, and design methods formed by the development of the high-power lithium-ion BMS for many years, the authors from the perspective of battery management combined the technical requirements of high-power lithium-ion batteries for new energy vehicles, the application of lithium-ion batteries, and battery power management as a starting point for the compilation of this book.

Reviews Li-ion battery characteristics and applications.
Covers battery equivalent modeling, including electrical circuit modeling and parameter identification theory
Discusses battery state estimation methods, including state of charge estimation, state of energy prediction, state of power evaluation, state of health estimation, and cycle life estimation
Introduces equivalent modeling and state estimation algorithms that can be applied to new energy measurement and control in large-scale energy storage
Includes a large number of examples and case studies

Table of Contents:
1. Battery Characteristics and Parameters. 2. Equivalent Modeling and Parameter Identification. 3. Battery State of Charge Estimation. 4. Battery State of Health Estimation. 5. Battery State of Power Estimation. 6. Battery State of Energy and Cycle Life Estimation.

This book has been developed as a reference for researchers and advanced students in energy and electrical engineering.