My Account Log in

1 option

Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs / by Qi Huang, Shunli Wang, Zonghai Chen, Ran Xiong, Carlos Fernandez, Daniel-I. Stroe.

Springer eBooks EBA - Energy Collection 2023 Available online

View online
Format:
Book
Author/Creator:
Huang, Qi.
Contributor:
Wang, Shunli.
Chen, Zonghai.
Xiong, Ran.
Fernández del Castillo, Carlos.
Stroe, Daniel-I.
Series:
Energy Series
Language:
English
Subjects (All):
Energy storage.
Electronics--Materials.
Electronics.
Mathematical models.
Mechanical and Thermal Energy Storage.
Electronic Materials.
Mathematical Modeling and Industrial Mathematics.
Local Subjects:
Mechanical and Thermal Energy Storage.
Electronic Materials.
Mathematical Modeling and Industrial Mathematics.
Physical Description:
1 online resource (101 pages)
Edition:
1st ed. 2023.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Summary:
This book investigates in detail long-term health state estimation technology of energy storage systems, assessing its potential use to replace common filtering methods that constructs by equivalent circuit model with a data-driven method combined with electrochemical modeling, which can reflect the battery internal characteristics, the battery degradation modes, and the battery pack health state. Studies on long-term health state estimation have attracted engineers and scientists from various disciplines, such as electrical engineering, materials, automation, energy, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of extraction for health indicators and the significant influence of electrochemical modeling and data-driven issues in the design and optimization of health state estimation in energy storage systems. The book is intended for undergraduate and graduate students who are interested in new energy measurement and control technology, researchers investigating energy storage systems, and structure/circuit design engineers working on energy storage cell and pack.
Contents:
Chapter 1 Introduction
Chapter 2 Electrochemical modeling of energy storage lithium battery
Chapter 3 Extraction of multidimensional health indicators based on lithium-ion batteries
Chapter 4 Research on health state estimation method of the lithium-ion battery pack
Chapter 5 Experimental verification and analysis of health state estimation for lithium-ion battery pack.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Huang, Qi Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs
ISBN:
9789819953448
9819953448
OCLC:
1395111153

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account