Data Science-Based Full-Lifespan Management of Lithium-Ion Battery Manufacturing, Operation and Reutilization
Liu, Kailong
Data Science-Based Full-Lifespan Management of Lithium-Ion Battery Manufacturing, Operation and Reutilization - Cham Springer Nature 2022 - 1 electronic resource (258 p.) - Green Energy and Technology . - Green Energy and Technology .
Open Access
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.
Creative Commons
English
9783031013409 9783031013409
10.1007/978-3-031-01340-9 doi
Компьютерная инженерия
Lithium-ion Battery Battery Manufacturing Management Battery Operation Management Battery Recycling Management Data Science Artificial Intelligence Open Access
004.3
Data Science-Based Full-Lifespan Management of Lithium-Ion Battery Manufacturing, Operation and Reutilization - Cham Springer Nature 2022 - 1 electronic resource (258 p.) - Green Energy and Technology . - Green Energy and Technology .
Open Access
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.
Creative Commons
English
9783031013409 9783031013409
10.1007/978-3-031-01340-9 doi
Компьютерная инженерия
Lithium-ion Battery Battery Manufacturing Management Battery Operation Management Battery Recycling Management Data Science Artificial Intelligence Open Access
004.3