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    Data Science-Based Full-Lifespan Management of Lithium-Ion Battery: Manufacturing, Operation and Reutilization

    Data Science-Based Full-Lifespan Management of Lithium-Ion Battery by Liu, Kailong; Wang, Yujie; Lai, Xin;

    Manufacturing, Operation and Reutilization

    Sorozatcím: Green Energy and Technology;

      • 8% KEDVEZMÉNY?

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        18 151 Ft (17 287 Ft + 5% áfa)
      • Kedvezmény(ek) 8% (cc. 1 452 Ft off)
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    Beszerezhetőség

    Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
    A Prosperónál jelenleg nincsen raktáron.

    Why don't you give exact delivery time?

    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    A termék adatai:

    • Kiadás sorszáma 1st ed. 2022
    • Kiadó Springer
    • Megjelenés dátuma 2022. április 10.
    • Kötetek száma 1 pieces, Book

    • ISBN 9783031013423
    • Kötéstípus Puhakötés
    • Terjedelem258 oldal
    • Méret 235x155 mm
    • Súly 438 g
    • Nyelv angol
    • Illusztrációk 5 Illustrations, black & white; 158 Illustrations, color
    • 411

    Kategóriák

    Rövid leírás:

    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. 

    Több

    Hosszú leírás:

    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.

    Több

    Tartalomjegyzék:

    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.


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