{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T05:39:37Z","timestamp":1725514777947},"reference-count":11,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,2]]},"DOI":"10.1109\/isgt.2014.6816399","type":"proceedings-article","created":{"date-parts":[[2014,5,30]],"date-time":"2014-05-30T14:25:35Z","timestamp":1401459935000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["A smart remaining battery life prediction based on MARS"],"prefix":"10.1109","author":[{"family":"Xi Xia","sequence":"first","affiliation":[]},{"family":"Weida Xu","sequence":"additional","affiliation":[]},{"family":"Xinxin Bai","sequence":"additional","affiliation":[]},{"family":"Xiaoguang Rui","sequence":"additional","affiliation":[]},{"family":"Haifeng Wang","sequence":"additional","affiliation":[]},{"given":"Jan","family":"Forster","sequence":"additional","affiliation":[]},{"family":"Yinming Wang","sequence":"additional","affiliation":[]},{"family":"Xihui Zhao","sequence":"additional","affiliation":[]},{"family":"Xiangfu Kong","sequence":"additional","affiliation":[]},{"family":"Tingting Liang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"3","doi-asserted-by":"publisher","DOI":"10.1177\/0142331208092030"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT.2013.6497818"},{"key":"10","article-title":"State-of-health estimation of li-ion batteries: Cycle life t est methods","author":"groot","year":"2012","journal-title":"Licentiate T Hesis"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2008.09.017"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2006.10.049"},{"key":"6","article-title":"An adaptive recurrent neural network for remaining useful life prediction of lithium-ion batteries","author":"liu","year":"2010","journal-title":"Annual COt!ference of the Prognostics and Health Management Society"},{"key":"5","article-title":"A practical circuitbased model for state of health estimation of li-ion battery cells in electric vehicles","author":"lam","year":"2011","journal-title":"Master T Hesis"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2008.2005965"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176347963"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2012.2230026"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2010.11.134"}],"event":{"name":"2014 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","start":{"date-parts":[[2014,2,19]]},"location":"Washington, DC, USA","end":{"date-parts":[[2014,2,22]]}},"container-title":["ISGT 2014"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6811234\/6816367\/06816399.pdf?arnumber=6816399","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,23]],"date-time":"2017-03-23T17:23:58Z","timestamp":1490289838000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6816399\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,2]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/isgt.2014.6816399","relation":{},"subject":[],"published":{"date-parts":[[2014,2]]}}}