Data Science-Based Full-Lifespan Management of Lithium-Ion Battery Manufacturing, Operation and Reutilization /
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) batter...
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| Asıl Yazarlar: | , , |
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| Müşterek Yazar: | |
| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
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| Edisyon: | 1st ed. 2022. |
| Seri Bilgileri: | Green Energy and Technology,
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| Konular: | |
| Online Erişim: | Link to Metadata |
| Etiketler: |
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| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01340-9 | ||
| 003 | DE-He213 | ||
| 005 | 20230810175053.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220408s2022 sz | s |||| 0|eng d | ||
| 020 | |a 9783031013409 |9 978-3-031-01340-9 | ||
| 024 | 7 | |a 10.1007/978-3-031-01340-9 |2 doi | |
| 050 | 4 | |a TA401-492 | |
| 050 | 4 | |a TK2896-2986 | |
| 072 | 7 | |a TGM |2 bicssc | |
| 072 | 7 | |a PNRH |2 bicssc | |
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| 082 | 0 | 4 | |a 620.11 |2 23 |
| 082 | 0 | 4 | |a 621.31242 |2 23 |
| 100 | 1 | |a Liu, Kailong. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Data Science-Based Full-Lifespan Management of Lithium-Ion Battery |h [electronic resource] : |b Manufacturing, Operation and Reutilization / |c by Kailong Liu, Yujie Wang, Xin Lai. |
| 250 | |a 1st ed. 2022. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2022. | |
| 300 | |a XXIII, 258 p. 163 illus., 158 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Green Energy and Technology, |x 1865-3537 | |
| 505 | 0 | |a 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 | |a Open Access | |
| 520 | |a 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. . | ||
| 650 | 0 | |a Electric batteries. | |
| 650 | 0 | |a Materials. | |
| 650 | 0 | |a Catalysis. | |
| 650 | 0 | |a Force and energy. | |
| 650 | 0 | |a Engineering |x Data processing. | |
| 650 | 0 | |a Electric power production. | |
| 650 | 1 | 4 | |a Batteries. |
| 650 | 2 | 4 | |a Materials for Energy and Catalysis. |
| 650 | 2 | 4 | |a Data Engineering. |
| 650 | 2 | 4 | |a Electrical Power Engineering. |
| 700 | 1 | |a Wang, Yujie. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Lai, Xin. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031013393 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031013416 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031013423 |
| 830 | 0 | |a Green Energy and Technology, |x 1865-3537 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-01340-9 |z Link to Metadata |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 912 | |a ZDB-2-SOB | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||