Data Science-based Full-lifespan Management of Lithium-ion Battery: Manufacturing, Operation and Reutilization - Couverture rigide

Liu, Kailong; Wang, Yujie; Lai, Xin

9783031013393: Data Science-based Full-lifespan Management of Lithium-ion Battery: Manufacturing, Operation and Reutilization

Couverture rigide

ISBN 10 : 3031013395 ISBN 13 : 9783031013393

Editeur : Springer International Publishing AG, 2022

Afficher les exemplaires de cette �dition comportant l?ISBN

2 D'occasion

De EUR 64,72

9 Neuf

De EUR 48,37

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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2022
Langue: anglais
ISBN 10: 3031013395
ISBN 13: 9783031013393
Reliure: Reli�
Num�ro d'�dition: 1
Nombre de pages: 258
Coordonn�es du fabricant: non disponible

Acheter D'occasion

�tat : Comme neuf

Unread book in perfect condition...

Afficher cet article

EUR 64,72

Autre devise

EUR 17,11 exp�dition depuis Etats-Unis vers France

Destinations, frais et d�lais

Ajouter au panier

Acheter neuf

Afficher cet article

EUR 48,37

Autre devise

EUR 9,70 exp�dition depuis Allemagne vers France

Destinations, frais et d�lais

Ajouter au panier

Autres �ditions populaires du m�me titre

9783031013423: Data Science-based Full-lifespan Management of Lithium-ion Battery: Manufacturing, Operation and Reutilization

Edition pr�sent�e

ISBN 10 : 3031013425 ISBN 13 : 9783031013423
Editeur : Springer International Publishin..., 2022
Couverture souple

R�sultats de recherche pour Data Science-based Full-lifespan Management of Lithium-ion...

Image fournie par le vendeur

Data Science-Based Full-Lifespan Management of Lithium-ion Battery

Kailong Liu|Yujie Wang|Xin Lai

Edit� par Springer International Publishing, 2022

ISBN 10 : 3031013395 ISBN 13 : 9783031013393

Neuf Couverture rigide

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an up-to-date summary of current expertise in battery managementIncludes step-by-step instructions for practical battery management and real case studiesConsolidates studies in the rapidly emerging field of battery management. N� de r�f. du vendeur 571802096

Contacter le vendeur

Acheter neuf

EUR 48,37

Autre devise

Frais de port : EUR 9,70

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

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

Kailong Liu

Edit� par Springer International Publishing, 2022

ISBN 10 : 3031013395 ISBN 13 : 9783031013393

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783031013393

Contacter le vendeur

Acheter neuf

EUR 53,49

Autre devise

Frais de port : EUR 10,99

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Data Science-Based Full-Lifespan Management of Lithium-Ion Battery

Kailong Liu

Edit� par Springer International Publishing Apr 2022, 2022

ISBN 10 : 3031013395 ISBN 13 : 9783031013393

Neuf Couverture rigide

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 284 pp. Englisch. N� de r�f. du vendeur 9783031013393

Contacter le vendeur

Acheter neuf

EUR 53,49

Autre devise

Frais de port : EUR 11

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image d'archives

Data Science-Based Full-Lifespan Management of Lithium-Ion Battery: Manufacturing, Operation and Reutilization (Green Energy and Technology)

Liu, Kailong; Wang, Yujie; Lai, Xin

Edit� par Springer, 2022

ISBN 10 : 3031013395 ISBN 13 : 9783031013393

Neuf Couverture rigide

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Etat : New. In. N� de r�f. du vendeur ria9783031013393_new

Contacter le vendeur

Acheter neuf

EUR 61,33

Autre devise

Frais de port : EUR 4,68

De Royaume-Uni vers France

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Data Science-Based Full-Lifespan Management of Lithium-Ion Battery

Kailong Liu

Edit� par Springer International Publishing Apr 2022, 2022

ISBN 10 : 3031013395 ISBN 13 : 9783031013393

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch. N� de r�f. du vendeur 9783031013393

Contacter le vendeur