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Data science-based full-lifespan management of lithium-Ion battery

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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.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

621.312424 DAT d

Penerbit

Cham, Switzerland : Springer Cham., 2022

Deskripsi Fisik

xxiii; 258 PG; ill.

Bahasa

English

ISBN/ISSN

9783031013409

Klasifikasi

621.312424

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Data Engineering
Electrical Power Engineering
Materials for Energy and Catalysis
Batteries

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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