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Titlebook: Smart Battery Management for Enhanced Safety; Zhongbao Wei Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive lice

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發(fā)表于 2025-3-21 17:45:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Smart Battery Management for Enhanced Safety
編輯Zhongbao Wei
視頻videohttp://file.papertrans.cn/869/868589/868589.mp4
概述Combines mechanism modeling and AI, data science towards the enhanced battery management.Introduces the emerging smart batteries and their unique management strategies.Address the urgent demand of saf
叢書名稱Key Technologies on New Energy Vehicles
圖書封面Titlebook: Smart Battery Management for Enhanced Safety;  Zhongbao Wei Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive lice
描述This book consolidates studies in the rapidly and foreseeably growing field of battery management. The primary focus is to overview the management of batteries (Li-ion batteries and some cases of flow batteries) with the fusion of mechanism and AI-based approaches. The book can be categorized into three groups, i.e., (i) mechanism and AI-based battery modeling and parameterization, (ii) AI-based diagnostic, early warning, and active safety control, and (iii) emerging techniques of smart battery and smart management, combining the emerging areas of embedded sensing and reconfigurable batteries. It is well recognized that the battery safety and management are the kernel of energy storage, renewable utilization, and low-carbon society, which have been highly popular in recent years. The exploration of AI techniques for advanced battery management has been seldom discussed systematically before. Moreover, the combination of AI and mechanism approaches can remarkably enhance the battery management, which however has never been focused on in previous books. Therefore, this book can add new knowledge to the paradigm and attract the attention of academics, scientists, engineers, and practi
出版日期Book 2024
關(guān)鍵詞Battery Management; Artificial Intelligence; Data-driven and Big Data; Multi-physical Modeling; Safety M
版次1
doihttps://doi.org/10.1007/978-981-97-4639-2
isbn_softcover978-981-97-4641-5
isbn_ebook978-981-97-4639-2Series ISSN 2662-2920 Series E-ISSN 2662-2939
issn_series 2662-2920
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-21 21:54:16 | 只看該作者
Book 2024ore. Moreover, the combination of AI and mechanism approaches can remarkably enhance the battery management, which however has never been focused on in previous books. Therefore, this book can add new knowledge to the paradigm and attract the attention of academics, scientists, engineers, and practi
板凳
發(fā)表于 2025-3-22 02:37:25 | 只看該作者
Zhongbao WeiCombines mechanism modeling and AI, data science towards the enhanced battery management.Introduces the emerging smart batteries and their unique management strategies.Address the urgent demand of saf
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發(fā)表于 2025-3-22 04:42:25 | 只看該作者
978-981-97-4641-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Overview of Battery Management,mponent of the future carbon–neutral and smart society, ESSs are the kernel of electrified transportation, smart grid, industrial cyber-physical-social systems, and residential communities. This dispensability has been witnessed by the rapid growth of global energy storage and electric vehicle (EV)
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