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dc.contributor.authorLiu, Kailong
dc.contributor.authorWang, Yujie
dc.contributor.authorLai, Xin
dc.date.accessioned2022-04-13T15:09:10Z
dc.date.available2022-04-13T15:09:10Z
dc.date.issued2022
dc.identifierONIX_20220413_9783031013409_27
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/54032
dc.description.abstractThis 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.
dc.languageEnglish
dc.relation.ispartofseriesGreen Energy and Technology
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials scienceen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databasesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineeringen_US
dc.subject.otherLithium-ion Battery
dc.subject.otherBattery Manufacturing Management
dc.subject.otherBattery Operation Management
dc.subject.otherBattery Recycling Management
dc.subject.otherData Science
dc.subject.otherArtificial Intelligence
dc.subject.otherOpen Access
dc.titleData Science-Based Full-Lifespan Management of Lithium-Ion Battery
dc.title.alternativeManufacturing, Operation and Reutilization
dc.typebook
oapen.identifier.doi10.1007/978-3-031-01340-9
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isbn9783031013409
oapen.imprintSpringer International Publishing
oapen.pages258
oapen.place.publicationCham


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