Data Science-Based Full-Lifespan Management of Lithium-Ion Battery
Data Science-Based Full-Lifespan Management of Lithium-Ion Battery
复制标题
基于数据科学的锂离子电池全寿命管理
DOI：
10.1007/978-3-031-01340-9
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
X. Lai
中科院分区：
文献类型：
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作者：
Kailong Liu;Yujie Wang;X. Lai
这本开放获取的书全面整合了在迅速崛起的电池管理领域的研究。重点是概述锂离子电池全寿命管理的新的和新兴的数据科学技术，这些技术分为三类，即(I)电池制造管理，(Ii)电池运行管理，和(Iii)电池再利用管理。讨论了这一研究领域的关键挑战、未来趋势以及进一步改进这一研究领域的数据科学技术前景。由于电池全寿命(制造、运营和再利用)管理是能源和人工智能领域的热门研究课题，而且之前还没有一本专门的书从数据科学的角度系统地描述这一特殊情况，这本书可以引起学者、科学家、工程师和从业者的注意。对于从事相关领域工作的学生和毕业生来说，它是一本有用的参考书。具体地说，观众不仅可以获得电池制造、操作和再利用的基础知识，还可以获得相关数据科学技术的信息。对该主题的循序渐进的指导、全面的介绍和案例研究使其能够接触到不同层次的受众，从毕业生到经验丰富的工程师。
This open access book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batteries, which are categorized into three groups, namely (i) battery manufacturing management, (ii) battery operation management, and (iii) battery reutilization management. The key challenges, future trends as well as promising data-science technologies to further improve this research field are discussed. As battery full-lifespan (manufacturing, operation, and reutilization) management is a hot research topic in both energy and AI fields and none specific book has focused on systematically describing this particular from a data science perspective before, this book can attract the attention of academics, scientists, engineers, and practitioners. It is useful as a reference book for students and graduates working in related fields. Specifically, the audience could not only get the basics of battery manufacturing, operation, and reutilization but also the information of related data-science technologies. The step-by-step guidance, comprehensive introduction, and case studies to the topic make it accessible to audiences of different levels, from graduates to experienced engineers.