LEADER 04351nam 22008055 450 001 9910558694203321 005 20251113194420.0 010 $a3-031-01340-9 024 7 $a10.1007/978-3-031-01340-9 035 $a(CKB)5590000000901951 035 $aEBL6950332 035 $a(AU-PeEL)EBL6950332 035 $a(OCoLC)1310785741 035 $a(MiAaPQ)EBC6950332 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81520 035 $a(PPN)262168669 035 $a(ODN)ODN0010067827 035 $a(Au-PeEL)EBL6950332 035 $a(oapen)doab81520 035 $a(DE-He213)978-3-031-01340-9 035 $a(EXLCZ)995590000000901951 100 $a20220408d2022 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science-Based Full-Lifespan Management of Lithium-Ion Battery $eManufacturing, Operation and Reutilization /$fby Kailong Liu, Yujie Wang, Xin Lai 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (277 p.) $cillustrations (chiefly color) 225 1 $aGreen Energy and Technology,$x1865-3537 300 $aDescription based upon print version of record. 311 0 $a3-031-01339-5 327 $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. 330 $aThis open access book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batteries, which are categorized into three groups, namely (i) battery manufacturing management, (ii) battery operation management, and (iii) battery reutilization management. The key challenges, future trends as well as promising data-science technologies to further improve this research field are discussed. As battery full-lifespan (manufacturing, operation, and reutilization) management is a hot research topic in both energy and AI fields and none specific book has focused on systematically describing this particular from a data science perspective before, this book can attract the attention of academics, scientists, engineers, and practitioners. It is useful as a reference book for students and graduates working in related fields. Specifically, the audience could not only get the basics of battery manufacturing, operation, and reutilization but also the information of related data-science technologies. The step-by-step guidance, comprehensive introduction, and case studies to the topic make it accessible to audiences of different levels, from graduates to experienced engineers. . 410 0$aGreen Energy and Technology,$x1865-3537 606 $aElectric batteries 606 $aMaterials 606 $aCatalysis 606 $aForce and energy 606 $aEngineering$xData processing 606 $aElectric power production 606 $aBatteries 606 $aMaterials for Energy and Catalysis 606 $aData Engineering 606 $aElectrical Power Engineering 615 0$aElectric batteries. 615 0$aMaterials. 615 0$aCatalysis. 615 0$aForce and energy. 615 0$aEngineering$xData processing. 615 0$aElectric power production. 615 14$aBatteries. 615 24$aMaterials for Energy and Catalysis. 615 24$aData Engineering. 615 24$aElectrical Power Engineering. 676 $a620.11 676 $a621.31242 686 $aCOM018000$aTEC021000$aTEC031000$2bisacsh 700 $aLiu$b Kailong$01237966 701 $aWang$b Yujie$01237967 701 $aLai$b Xin$01237968 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910558694203321 996 $aData Science-Based Full-Lifespan Management of Lithium-Ion Battery$92873337 997 $aUNINA