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    Data Science-Based Full-Lifespan Management of Lithium-Ion Battery

    Manufacturing, Operation and Reutilization

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    Author(s)
    Liu, Kailong
    Wang, Yujie
    Lai, Xin
    Language
    English
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    Abstract
    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.
    URI
    https://library.oapen.org/handle/20.500.12657/54032
    Keywords
    Lithium-ion Battery; Battery Manufacturing Management; Battery Operation Management; Battery Recycling Management; Data Science; Artificial Intelligence; Open Access
    DOI
    10.1007/978-3-031-01340-9
    ISBN
    9783031013409, 9783031013409
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2022
    Imprint
    Springer International Publishing
    Series
    Green Energy and Technology,
    Classification
    Materials science
    Databases
    Energy technology and engineering
    Pages
    258
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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