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LEADER 00000cam  2200601Ii 4500 
001    on1310785741 
003    OCoLC 
005    20221108213017.0 
006    m     o  d         
007    cr cnu|||unuuu 
008    220414s2022    sz a    ob    000 0 eng d 
020    9783031013409|q(electronic book) 
020    3031013409|q(electronic book) 
020    |z9783031013393 
024 7  10.1007/978-3-031-01340-9|2doi 
035    (OCoLC)1310785741 
040    GW5XE|beng|erda|epn|cGW5XE|dOCLCO|dEBLCP|dYDX|dOCLCF 
049    STJJ 
050  4 TK2945.L58|bL58 2022 
072  7 TGM|2bicssc 
072  7 PNRH|2bicssc 
072  7 TEC021000|2bisacsh 
072  7 TGMM|2thema 
072  7 PNRH|2thema 
082 04 621.31/2424|223/eng/20220414 
100 1  Liu, Kailong,|eauthor. 
245 10 Data science-based full-lifespan management of lithium-ion
       battery :|bmanufacturing, operation and reutilization /
       |cKailong Liu, Yujie Wang, Xin Lai. 
264  1 Cham :|bSpringer,|c[2022] 
264  4 |c©2022 
300    1 online resource (xxiii, 258 pages) :|billustrations 
       (chiefly color). 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  Green energy and technology,|x1865-3537 
504    Includes bibliographical references. 
505 0  Chapter 1. Introduction to Battery Full-Lifespan 
       Management -- Chapter 2. Key Stages for Battery Full-
       Lifespan Management -- Chapter 3. Data Science-based 
       Battery Manufacturing Management -- Chapter 4. Data 
       Science-based Battery Operation Management I -- Chapter 5.
       Data Science-based Battery Operation Management II -- 
       Chapter 6. Data Science-based Battery Reutilization 
       Management -- Chapter 7. The Ways Ahead. 
506 0  Open access|5GW5XE 
520    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 
588 0  Online resource; title from PDF title page (SpringerLink, 
       viewed April 14, 2022). 
590    Springer Nature|bSpringer Nature Open Access eBooks 
650  0 Lithium ion batteries. 
650  0 Battery management systems. 
650  7 Battery management systems.|2fast|0(OCoLC)fst02003163 
650  7 Lithium ion batteries.|2fast|0(OCoLC)fst01764640 
655  0 Electronic books. 
700 1  Wang, Yujie,|eauthor. 
700 1  Lai, Xin,|eauthor. 
830  0 Green energy and technology.|x1865-3537 
914    on1310785741 
947    MARCIVE Processed 2023/02/10 
994    92|bSTJ 
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