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008 220408s2022 sz | s |||| 0|eng d
020 _a9783031013409
024 7 _a10.1007/978-3-031-01340-9
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTK2945.L58
072 7 _aTGM
_2bicssc
072 7 _aPNRH
_2bicssc
072 7 _aTEC021000
_2bisacsh
072 7 _aTGMM
_2thema
072 7 _aPNRH
_2thema
090 _aTK2945.L58EBK
100 1 _aLiu, Kailong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aData Science-Based Full-Lifespan Management of Lithium-Ion Battery
_h[electronic resource] :
_bManufacturing, Operation and Reutilization /
_cby Kailong Liu, Yujie Wang, Xin Lai.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aGreen Energy and Technology,
_x1865-3537
505 0 _aChapter 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 _aOpen Access
520 _aThis 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. .
650 0 _aElectric batteries.
650 0 _aMaterials.
650 0 _aCatalysis.
650 0 _aForce and energy.
650 0 _aEngineering—Data processing.
650 0 _aElectric power production.
650 1 4 _aBatteries.
650 2 4 _aMaterials for Energy and Catalysis.
650 2 4 _aData Engineering.
650 2 4 _aElectrical Power Engineering.
653 0 _aBattery management systems
653 0 _aLithium ion batteries
700 1 _aWang, Yujie.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aLai, Xin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
830 0 _aGreen Energy and Technology,
_x1865-3537
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01340-9
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK