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001 978-981-97-4639-2
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020 _a9789819746392
_9978-981-97-4639-2
024 7 _a10.1007/978-981-97-4639-2
_2doi
050 4 _aTA329-348
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
072 7 _aTBJ
_2thema
100 1 _aWei, Zhongbao.
_eauthor.
_0(orcid)0000-0003-0051-5648
_1https://orcid.org/0000-0003-0051-5648
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982881
245 1 0 _aSmart Battery Management for Enhanced Safety
_h[electronic resource] /
_cby Zhongbao Wei.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXXI, 230 p. 110 illus., 102 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aKey Technologies on New Energy Vehicles,
_x2662-2939
505 0 _aOverview of battery management -- Modeling -- State Estimation -- Health Diagnostic -- Charging -- Smart battery and management.
520 _aThis book consolidates studies in the rapidly and foreseeably growing field of battery management. The primary focus is to overview the management of batteries (Li-ion batteries and some cases of flow batteries) with the fusion of mechanism and AI-based approaches. The book can be categorized into three groups, i.e., (i) mechanism and AI-based battery modeling and parameterization, (ii) AI-based diagnostic, early warning, and active safety control, and (iii) emerging techniques of smart battery and smart management, combining the emerging areas of embedded sensing and reconfigurable batteries. It is well recognized that the battery safety and management are the kernel of energy storage, renewable utilization, and low-carbon society, which have been highly popular in recent years. The exploration of AI techniques for advanced battery management has been seldom discussed systematically before. Moreover, the combination of AI and mechanism approaches can remarkably enhance the battery management, which however has never been focused on in previous books. Therefore, this book can add new knowledge to the paradigm and attract the attention of academics, scientists, engineers, and practitioners. It is a reference book for researchers and engineers in related fields. The step-by-step guidance, comprehensive introduction, and case studies make it accessible to audiences of different levels, from graduates to experienced engineers.
650 0 _aEngineering mathematics.
_964145
650 0 _aElectric power production.
_965675
650 0 _aComputational intelligence.
_964052
650 1 4 _aEngineering Mathematics.
_964145
650 2 4 _aElectrical Power Engineering.
_965867
650 2 4 _aComputational Intelligence.
_964052
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819746385
776 0 8 _iPrinted edition:
_z9789819746408
776 0 8 _iPrinted edition:
_z9789819746415
830 0 _aKey Technologies on New Energy Vehicles,
_x2662-2939
_967621
856 4 0 _uhttps://doi.org/10.1007/978-981-97-4639-2
912 _aZDB-2-ENE
912 _aZDB-2-SXEN
999 _c62732
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