Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs [E-Book] / by Qi Huang, Shunli Wang, Zonghai Chen, Ran Xiong, Carlos Fernandez, Daniel-I. Stroe.
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...
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Full text |
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| Personal Name(s): | Huang, Qi, author |
| Chen, Zonghai, author / Fernandez, Carlos, author / Stroe, Daniel-I., author / Wang, Shunli, author / Xiong, Ran, author | |
| Edition: |
1st edition 2023. |
| Imprint: |
Singapore :
Springer,
2023
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| Physical Description: |
XI, 92 pages 44 illustrations, 43 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9789819953448 |
| DOI: |
10.1007/978-981-99-5344-8 |
| Subject (LOC): |
- 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.