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Titlebook: Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs; Qi Huang,Shunli Wang,Daniel-I. Stroe Book 2023 The Editor(s

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發(fā)表于 2025-3-21 17:39:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs
編輯Qi Huang,Shunli Wang,Daniel-I. Stroe
視頻videohttp://file.papertrans.cn/589/588572/588572.mp4
概述Develops novel battery health state estimation methods of energy storage systems.Introduces methods of battery degradation modes, including loss of active material and lithium inventory quantification
圖書封面Titlebook: Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs;  Qi Huang,Shunli Wang,Daniel-I. Stroe Book 2023 The Editor(s
描述.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..
出版日期Book 2023
關(guān)鍵詞Energy storage; Lithium-ion battery; Battery health state; Multi-cell model of battery pack; Back propag
版次1
doihttps://doi.org/10.1007/978-981-99-5344-8
isbn_softcover978-981-99-5343-1
isbn_ebook978-981-99-5344-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:59:03 | 只看該作者
loss of active material and lithium inventory quantification.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
板凳
發(fā)表于 2025-3-22 03:15:12 | 只看該作者
Electrochemical Modeling of Energy Storage Lithium-Ion Battery,o needs to be solved by simplifying the liquid diffusion equation. Finally, this chapter describes a multi-cell model of energy storage battery pack using the ESP model as a cell model, and presents the terminal voltage expression of the battery pack model.
地板
發(fā)表于 2025-3-22 06:50:14 | 只看該作者
Experimental Verification and Analysis of Health State Estimation for Lithium-Ion Battery Pack,The analysis results demonstrate that the health state estimation method for energy storage lithium-ion battery packs developed in this book based on multidimensional health indicators and NSA-BP model has obvious advantages.
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發(fā)表于 2025-3-22 11:08:25 | 只看該作者
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發(fā)表于 2025-3-22 13:15:23 | 只看該作者
Extraction of Multidimensional Health Indicators Based on Lithium-Ion Batteries,m-ion degradation modes. Among them, LAM obtains quantification results through IC curves, and LLI obtains quantification results through DV curves. Finally, this chapter studies two correlation analysis methods based on multidimensional health indicators and health state, including Pearson correlat
7#
發(fā)表于 2025-3-22 18:21:10 | 只看該作者
Research on Health State Estimation Method of the Lithium-Ion Battery Pack,inally, this chapter combines cell model, pack model, cell model parameter identification algorithm, cell quantification method of degradation modes, correlation analysis methods, and neural network algorithm to construct a long-term health state estimation model.
8#
發(fā)表于 2025-3-22 21:56:13 | 只看該作者
9#
發(fā)表于 2025-3-23 04:37:00 | 只看該作者
ho 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..978-981-99-5343-1978-981-99-5344-8
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發(fā)表于 2025-3-23 06:38:02 | 只看該作者
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