03280nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001400153072001600167072002300183072001500206100014300221245009200364250001800456264007200474300006700546336002600613337002600639338003600665347002400701490005600725505013300781520145100914650002902365650003102394650003202425650002902457650003402486650003202520710003402552773002602586776003602612776003602648776003602684830005602720856004602776978-981-97-4639-2DE-He21320251030112912.0cr nn 008mamaa240825s2024    si |    s    |||| 0|eng d  a97898197463927 a10.1007/978-981-97-4639-22doi 4aTA329-348 7aTBJ2bicssc 7aMAT0030002bisacsh 7aTBJ2thema1 aWei, Zhongbao.eauthor.0(orcid)0000-0003-0051-56481https://orcid.org/0000-0003-0051-56484aut4http://id.loc.gov/vocabulary/relators/aut10aSmart Battery Management for Enhanced Safetyh[electronic resource] /cby Zhongbao Wei.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXXI, 230 p. 110 illus., 102 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aKey Technologies on New Energy Vehicles,x2662-29390 aOverview of battery management -- Modeling -- State Estimation -- Health Diagnostic -- Charging -- Smart battery and management.  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. 0aEngineering mathematics. 0aElectric power production. 0aComputational intelligence.14aEngineering Mathematics.24aElectrical Power Engineering.24aComputational Intelligence.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981974638508iPrinted edition:z978981974640808iPrinted edition:z9789819746415 0aKey Technologies on New Energy Vehicles,x2662-293940uhttps://doi.org/10.1007/978-981-97-4639-2