| 000 | 03662nam a22004575i 4500 | ||
|---|---|---|---|
| 999 |
_c384150 _d384150 |
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| 001 | 384150 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102122226.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220408s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783031013409 | ||
| 024 | 7 |
_a10.1007/978-3-031-01340-9 _2doi |
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| 040 |
_bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aTK2945.L58 _b2022 EB |
|
| 100 | 1 |
_aLiu, Kailong _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685662 |
|
| 245 | 1 | 0 |
_aData Science-Based Full-Lifespan Management of Lithium-Ion Battery : _bManufacturing, Operation and Reutilization _cby Kailong Liu, Yujie Wang, Xin Lai |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XXIII, 258 páginas) _b163 ilustraciones, 158 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_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. | ||
| 988 | _aSpringer_Engineering_2022 | ||
| 650 | 7 |
_2embne _9473719 _aAlmacenamiento de energía |
|
| 700 | 1 |
_aWang, Yujie _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685663 |
|
| 700 | 1 |
_aLai, Xin Min _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685664 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031013393 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031013416 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031013423 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01340-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b12/2022 _dz _eb _zSI |
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