LEADER 01234nam  2200349   450 
001 9910717062103321
005 20211217103935.0
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035   $a(OCoLC)1289314641
035   $a(EXLCZ)995470000002527584
100   $a20211217d2019      ua             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEnable model-based diagnostics and prognostics for lithium-ion batteries /$fChuanbo Yang [and five others]
210  1$a[Golden, CO] :$cNational Renewable Energy Laboratory,$d2019.
215   $a1 online resource (1 page) $ccolor illustrations
225 1 $aNREL/PO ;$v5400-73400
300   $a"Abstract Number: #IBAp-0270."
300   $a"International Battery Association 2019 La Jolla, CA March 3-8, 2019."
606   $aLithium ion batteries$zUnited States
615  0$aLithium ion batteries
700   $aYang$b Chuanbo$01403843
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910717062103321
996   $aEnable model-based diagnostics and prognostics for lithium-ion batteries$93545028
997   $aUNINA