{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T11:50:39Z","timestamp":1773489039001,"version":"3.50.1"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017R1C1B5016837"],"award-info":[{"award-number":["2017R1C1B5016837"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"ITRC Program","award":["IITP-2019-2014-1-00639"],"award-info":[{"award-number":["IITP-2019-2014-1-00639"]}]},{"name":"Global Excellent Technology Innovation Program","award":["10063078"],"award-info":[{"award-number":["10063078"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2914188","type":"journal-article","created":{"date-parts":[[2019,4,30]],"date-time":"2019-04-30T20:27:42Z","timestamp":1556656062000},"page":"59680-59689","source":"Crossref","is-referenced-by-count":61,"title":["Hybrid VARMA and LSTM Method for Lithium-ion Battery State-of-Charge and Output Voltage Forecasting in Electric Motorcycle Applications"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0279-935X","authenticated-orcid":false,"given":"Angela C.","family":"Caliwag","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2533-3496","authenticated-orcid":false,"given":"Wansu","family":"Lim","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"59","article-title":"Data-driven prognostics and remaining useful life estimation for lithium-ion battery: A review","volume":"1","author":"liu","year":"0","journal-title":"Instrumentation"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2858856"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2816684"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2492923"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2007.891433"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2787586"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2017.2782207"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2013.12.054"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2396011"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JESTPE.2014.2307079"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2817655"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2014.10.119"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TTE.2017.2764320"},{"key":"ref5","first-page":"1832","article-title":"Critical review on the battery state of charge estimation methods for electric vehicles","volume":"6","author":"xiong","year":"2017","journal-title":"IEEE J MAG"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2805189"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2018.09.149"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2013.2281010"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2013.2271951"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/0470090707"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2872720"},{"key":"ref22","author":"wei","year":"2019","journal-title":"Time Series Analysis Univariate and Multivariate Methods"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.14254\/2071-789X.2013\/6-2\/9"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(01)00702-0"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08703041.pdf?arnumber=8703041","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:39:58Z","timestamp":1628624398000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8703041\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2914188","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}