LEADER 00705nam0-2200241 --450 001 9910291241803321 005 20190515104913.0 010 $a978-88-909692-0-1 100 $a20181115d2014----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $aa 001yy 200 1 $aPoggiomarino dalla preistoria alla storia$fLuigi Iroso 210 $a[S.l.$cs.n.]$dstampa 2014$eSarno$gTipolitografia Buonaiuto 215 $a175 p.$cill.$d24 cm 700 1$aIroso,$bLuigi$078930 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910291241803321 952 $a03.1796$b1546/18$fDARST 959 $aDARST 996 $aPoggiomarino dalla preistoria alla storia$91537598 997 $aUNINA LEADER 00945nam a22002651i 4500 001 991001647749707536 005 20031129133528.0 008 040407s1955 it a||||||||||||||||ita 035 $ab12802360-39ule_inst 035 $aARCHE-078199$9ExL 040 $aDip.to Scienze Storiche$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a914.52 245 00$aSabbioneta /$ca cura di Alfredo Puerari ; fotografie di Bruno Stefani 260 $aMilano :$bDomus,$c1955 300 $a4 p., [24] c. di tav. :$bill. ;$c38 cm 440 0$aAlbum d'Italia 650 4$aSabbioneta 700 1 $aPuerari, Alfredo 700 1 $aStefani, Bruno 907 $a.b12802360$b02-04-14$c16-04-04 912 $a991001647749707536 945 $aLE009 LA X S 4 (Fondo Bottari)$g1$lle009$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i13349661$z16-04-04 996 $aSabbioneta$9294346 997 $aUNISALENTO 998 $ale009$b16-04-04$cm$da $e-$fita$git $h0$i1 LEADER 01021cam--2200349---450 001 990005992800203316 005 20240122072113.0 010 $a978-88-7075-801-6 035 $a000599280 035 $aUSA01000599280 035 $a(ALEPH)000599280USA01 035 $a000599280 100 $a20150107d2014----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa|||||||001yy 200 1 $aCome gestire gli ebook in biblioteca$fLuciana Cumino 210 $aBologna$cBibliografica$d2014 215 $a64 p.$cill.$d15 cm 225 2 $aLibrary toolbox$v2 410 0$12001$aLibrary toolbox$v2 606 0 $aE-book$xGestione [da parte delle] Biblioteche$2BNCF 676 $a025.284 700 1$aCUMINO,$bLuciana$0523987 801 0$aIT$bsalbc$gISBD 912 $a990005992800203316 951 $aLP 186$b248191 L.M.$cLP$d365448 951 $aXIV Misc..1. 6$b248192 L.M.$cXIV Misc..$d365449 959 $aBK 969 $aUMA 996 $aCome gestire gli ebook in biblioteca$940251 997 $aUNISA LEADER 03777nam 22006375 450 001 9910741167403321 005 20230818073946.0 010 $a9789819953448 010 $a9819953448 024 7 $a10.1007/978-981-99-5344-8 035 $a(MiAaPQ)EBC30711939 035 $a(Au-PeEL)EBL30711939 035 $a(DE-He213)978-981-99-5344-8 035 $a(PPN)272274941 035 $a(CKB)28004895600041 035 $a(OCoLC)1395111153 035 $a(EXLCZ)9928004895600041 100 $a20230818d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLong-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs /$fby Qi Huang, Shunli Wang, Zonghai Chen, Ran Xiong, Carlos Fernandez, Daniel-I. Stroe 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (101 pages) 311 08$aPrint version: Huang, Qi Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs Singapore : Springer,c2023 9789819953431 327 $aChapter 1 Introduction -- Chapter 2 Electrochemical modeling of energy storage lithium battery -- Chapter 3 Extraction of multidimensional health indicators based on lithium-ion batteries -- Chapter 4 Research on health state estimation method of the lithium-ion battery pack -- Chapter 5 Experimental verification and analysis of health state estimation for lithium-ion battery pack. 330 $aThis book investigates in detail long-term health state estimation technology of energy storage systems, assessing its potential use to replace common filtering methods that constructs by equivalent circuit model with a data-driven method combined with electrochemical modeling, which can reflect the battery internal characteristics, the battery degradation modes, and the battery pack health state. Studies on long-term health state estimation have attracted engineers and scientists from various disciplines, such as electrical engineering, materials, automation, energy, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of extraction for health indicators and the significant influence of electrochemical modeling and data-driven issues in the design and optimization of health state estimation in energy storage systems. The book is intended for undergraduate and graduate students who are interested in new energy measurement and control technology, researchers investigating energy storage systems, and structure/circuit design engineers working on energy storage cell and pack. 606 $aEnergy storage 606 $aElectronics$xMaterials 606 $aMathematical models 606 $aMechanical and Thermal Energy Storage 606 $aElectronic Materials 606 $aMathematical Modeling and Industrial Mathematics 615 0$aEnergy storage. 615 0$aElectronics$xMaterials. 615 0$aMathematical models. 615 14$aMechanical and Thermal Energy Storage. 615 24$aElectronic Materials. 615 24$aMathematical Modeling and Industrial Mathematics. 676 $a621.3126 700 $aHuang$b Qi$01424657 701 $aWang$b Shunli$01424658 701 $aChen$b Zonghai$01424659 701 $aXiong$b Ran$01424660 701 $aFernandez$b Carlos$0609295 701 $aStroe$b Daniel-I$01424661 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910741167403321 996 $aLong-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs$93554056 997 $aUNINA