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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aPredictive models of Li-ion battery lifetime /$fKandler Smith
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d[2015]
215   $a1 online resource (24 pages) $ccolor illustrations
225 1 $aNREL/PR ;$v5400-64622
300   $aTitle from title screen (viewed on June 22, 2016).
300   $a"Advanced Automotive Battery Conference & Large Li-ion Battery Technology & Application Symposium, Detroit, Michigan, June 15-19, 2015."
606   $aLithium ion batteries$xResearch$zUnited States
606   $aLithium ion batteries$xService life$zUnited States$xForecasting$xMathematical models
606   $aLithium ion batteries$xEconomic aspects$zUnited States
615  0$aLithium ion batteries$xResearch
615  0$aLithium ion batteries$xService life$xForecasting$xMathematical models.
615  0$aLithium ion batteries$xEconomic aspects
700   $aSmith$b Kandler$01388464
712 02$aNational Renewable Energy Laboratory (U.S.),
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996   $aPredictive models of Li-ion battery lifetime$93472590
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