000 04160nam a22006735i 4500
001 978-3-031-01340-9
003 DE-He213
005 20220530132208.0
007 cr nn 008mamaa
008 220408s2022 sz | s |||| 0|eng d
020 _a9783031013409
_9978-3-031-01340-9
024 7 _a10.1007/978-3-031-01340-9
_2doi
072 7 _aTGM
_2bicssc
072 7 _aPNRH
_2bicssc
072 7 _aTEC021000
_2bisacsh
072 7 _aTGMM
_2thema
072 7 _aPNRH
_2thema
082 0 4 _a620.11
_223
082 0 4 _a621.31242
_223
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 _aXXIII, 258 páginas163 ilustraciones, 158 ilustraciones in color.
_bonline resource.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_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.
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)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031013393
776 0 8 _iPrinted edition:
_z9783031013416
776 0 8 _iPrinted edition:
_z9783031013423
830 0 _aGreen Energy and Technology,
_x1865-3537
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01340-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
912 _aZDB-2-SOB
999 _c154385
_d154385