{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,3]],"date-time":"2025-10-03T00:52:25Z","timestamp":1759452745156,"version":"build-2065373602"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T00:00:00Z","timestamp":1724889600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T00:00:00Z","timestamp":1724889600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,29]]},"DOI":"10.1109\/is61756.2024.10705192","type":"proceedings-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T13:45:15Z","timestamp":1728481515000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Utilising Machine Learning for Precise State-of-Charge Prediction in Li-Ion Batteries"],"prefix":"10.1109","author":[{"given":"Avinash","family":"Khatri","sequence":"first","affiliation":[{"name":"School of Architecture, Computing and Engineering, University of East London,London,United Kingdom"}]},{"given":"Jaswinder","family":"Lota","sequence":"additional","affiliation":[{"name":"School of Architecture, Computing and Engineering, University of East London,London,United Kingdom"}]},{"given":"Prasanna","family":"Nepal","sequence":"additional","affiliation":[{"name":"Nepal Engineering College,Department of Electrical and Electronics Engineering,Bhaktapur,Nepal"}]},{"given":"Mohammad Hossein","family":"Amirhosseini","sequence":"additional","affiliation":[{"name":"School of Architecture, Computing and Engineering, University of East London,London,United Kingdom"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/technologies9020028"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/a13030062"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.techsoc.2021.101771"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2022.03.016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/batteries8090119"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.123853"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2019.2940022"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2020.3009825"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2021.3136862"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.124612"},{"key":"ref11","first-page":"89","article-title":"Estimation of SoC using SVM regression technique for an Efficient Electric Vehicle Battery Management System using c-RIO DAQ","author":"Rathy","year":"2020","journal-title":"American Journal of Research"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2021.08.182"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2023.106811"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyai.2022.100188"},{"issue":"v3","key":"ref15","article-title":"LG 18650HG2 Li-ion Battery Data and Example Deep Neural Network xEV SOC Estimator Script","author":"Kollmeyer","year":"2020","journal-title":"Mendeley Data"},{"issue":"VI","key":"ref16","article-title":"Tesla Model 3 2170 Li-ion Cell Dataset and Battery SOC Estimation Blind Modeling Tool","author":"Emadi","year":"2023","journal-title":"Borealis"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.04.059"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2018.06.104"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2787586"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2764869"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2019.109464"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.resconrec.2023.107091"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2019.e01866"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2024.108623"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2020.227935"}],"event":{"name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","start":{"date-parts":[[2024,8,29]]},"location":"Varna, Bulgaria","end":{"date-parts":[[2024,8,31]]}},"container-title":["2024 IEEE 12th International Conference on Intelligent Systems (IS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10705133\/10705164\/10705192.pdf?arnumber=10705192","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T17:36:22Z","timestamp":1759426582000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10705192\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,29]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/is61756.2024.10705192","relation":{},"subject":[],"published":{"date-parts":[[2024,8,29]]}}}