| 书目名称 | Smart Battery Management for Enhanced Safety | | 编辑 | Zhongbao Wei | | 视频video | | | 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 | | 丛书名称 | Key Technologies on New Energy Vehicles | | 图书封面 |  | | 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 | | 关键词 | Battery Management; Artificial Intelligence; Data-driven and Big Data; Multi-physical Modeling; Safety M | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-4639-2 | | isbn_softcover | 978-981-97-4641-5 | | isbn_ebook | 978-981-97-4639-2Series ISSN 2662-2920 Series E-ISSN 2662-2939 | | issn_series | 2662-2920 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 17:45:40
