{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T18:44:26Z","timestamp":1775587466422,"version":"3.50.1"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T00:00:00Z","timestamp":1750809600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T00:00:00Z","timestamp":1750809600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Union Next-GenerationEU","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,25]]},"DOI":"10.1109\/metroautomotive64646.2025.11119254","type":"proceedings-article","created":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T18:34:39Z","timestamp":1755196479000},"page":"62-67","source":"Crossref","is-referenced-by-count":2,"title":["Evaluation of Deep Learning Models for State of Charge Estimation for Lithium Batteries Using Image-Encoded Electrochemical Impedance Spectroscopy Data"],"prefix":"10.1109","author":[{"given":"Hamza","family":"Mustafa","sequence":"first","affiliation":[{"name":"University of Cassino and Southern Lazio,Dept. of Electrical and Information Engineering,Cassino,Italy,03043"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michele","family":"Vitelli","sequence":"additional","affiliation":[{"name":"University of Cassino and Southern Lazio,Dept. of Electrical and Information Engineering,Cassino,Italy,03043"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Filippo","family":"Milano","sequence":"additional","affiliation":[{"name":"University of Cassino and Southern Lazio,Dept. of Electrical and Information Engineering,Cassino,Italy,03043"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario","family":"Molinara","sequence":"additional","affiliation":[{"name":"University of Cassino and Southern Lazio,Dept. of Electrical and Information Engineering,Cassino,Italy,03043"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luigi","family":"Ferrigno","sequence":"additional","affiliation":[{"name":"University of Cassino and Southern Lazio,Dept. of Electrical and Information Engineering,Cassino,Italy,03043"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1016\/j.rser.2017.05.001","article-title":"A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations","volume":"78","author":"Hannan","year":"2017","journal-title":"Renewable and Sustainable Energy Reviews"},{"issue":"9","key":"ref2","doi-asserted-by":"crossref","first-page":"1506","DOI":"10.1016\/j.apenergy.2008.11.021","article-title":"Enhanced coulomb counting method for estimating state-ofcharge and state-of-health of lithium-ion batteries","volume":"86","author":"Ng","year":"2009","journal-title":"Applied Energy"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2005.11.090"},{"issue":"15","key":"ref4","doi-asserted-by":"crossref","DOI":"10.3390\/en17153782","article-title":"A physics-based equivalent circuit model and state of charge estimation for lithium-ion batteries","volume":"17","author":"Li","year":"2024","journal-title":"Energies"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2021.102655"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1063\/1.5116497"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2013.2287375"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/adts.202100258"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/en11071620"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3434716"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3308029"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/en16041599"},{"key":"ref13","article-title":"Imaging time-series to improve classification and imputation","volume-title":"2015","author":"Wang"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"110947","DOI":"10.1016\/j.dib.2024.110947","article-title":"Soc estimation on li-ion batteries: A new eis-based dataset for data-driven applications","volume":"57","author":"Mustafa","year":"2024","journal-title":"Data in Brief"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"101490","DOI":"10.1016\/j.jestch.2023.101490","article-title":"Alexnet architecture variations with transfer learning for classification of wound images","volume":"45","author":"Eldem","year":"2023","journal-title":"Engineering Science and Technology, an International Journal"}],"event":{"name":"2025 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","location":"Parma, Italy","start":{"date-parts":[[2025,6,25]]},"end":{"date-parts":[[2025,6,27]]}},"container-title":["2025 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11119194\/11119195\/11119254.pdf?arnumber=11119254","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T05:13:19Z","timestamp":1755234799000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11119254\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,25]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/metroautomotive64646.2025.11119254","relation":{},"subject":[],"published":{"date-parts":[[2025,6,25]]}}}