000			02917naaaa2200469uu 4500
003			BUT
005			20230522122307.0
006			m o d
007			cr|mn|---annan
008			20220513s2022 gerx |||||o ||||eng|| d
020			_a9783031013409
020			_a9783031013409
024	7		_a10.1007/978-3-031-01340-9 _cdoi
040			_aoapen _coapen
041	0		_aeng
042			_adc
080			_a004.3
100	1		_aLiu, Kailong _4auth
245	1	0	_aData Science-Based Full-Lifespan Management of Lithium-Ion Battery _bManufacturing, Operation and Reutilization
260			_aCham _bSpringer Nature _c2022
300			_a1 electronic resource (258 p.)
490	1		_aGreen Energy and Technology
506	0		_aOpen Access _2star _fUnrestricted online 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.
540			_aCreative Commons _fby/4.0/ _2cc
546			_aEnglish
650		0	_aКомпьютерная инженерия _94537
653			_aLithium-ion Battery
653			_aBattery Manufacturing Management
653			_aBattery Operation Management
653			_aBattery Recycling Management
653			_aData Science
653			_aArtificial Intelligence
653			_aOpen Access
700	1		_aWang, Yujie _4auth
700	1		_aLai, Xin _4auth
830			_94632 _aGreen Energy and Technology
856	4	0	_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/54032/1/978-3-031-01340-9.pdf _70 _zDownload
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/81520 _70 _zDescription
909			_c197 _dKhurliman Arzieva
942			_2udc _cEE
999			_c6588 _d6588