{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T22:48:59Z","timestamp":1768517339786,"version":"3.49.0"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"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":[[2025,7,15]]},"DOI":"10.1109\/codit66093.2025.11321918","type":"proceedings-article","created":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T20:36:48Z","timestamp":1768423008000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["A hybrid deep learning and multi-Physics approach for real-time SOC and SOH Estimation in electric vehicle batteries"],"prefix":"10.1109","author":[{"given":"Jamila","family":"Hemdani","sequence":"first","affiliation":[{"name":"University of Tunis,The National Higher Engineering, School of Tunis (ENSIT),Department of Electrical Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laid","family":"Degaa","sequence":"additional","affiliation":[{"name":"Nidec ASI S.A.S Roche-La-Moli&#x00E8;re,France,42230"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moez","family":"Soltani","sequence":"additional","affiliation":[{"name":"University of Tunis,The National Higher Engineering, School of Tunis (ENSIT),Department of Electrical Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nassim","family":"Rizoug","sequence":"additional","affiliation":[{"name":"Higher School of Aeronautical Techniques and Automobile Construction (ESTACA), Laboratoire des Syst&#x00E9;mes et Energies Embarqu&#x00E9;s pour les Transports"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Achraf Jabeur","family":"Telmoudi","sequence":"additional","affiliation":[{"name":"University of Tunis,The National Higher Engineering, School of Tunis (ENSIT),Department of Electrical Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdelkader","family":"Chaari","sequence":"additional","affiliation":[{"name":"University of Tunis,The National Higher Engineering, School of Tunis (ENSIT),Department of Electrical Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Global EV Outlook 2023","volume-title":"IEA"},{"key":"ref2","article-title":"A review of literature on roadmapping to reduce freight transport CO2 emissions by 2050","author":"Allen","year":"2021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s40999-024-01039-z"},{"key":"ref4","article-title":"Electric vehicles: Actual market and future prospects, with a focus on battery technology","volume-title":"Politecnico di Torino","author":"Micucci"},{"issue":"1","key":"ref5","first-page":"491","article-title":"Enhancing Battery Health in Electric Vehicles: AI-Enhanced BMS for Accurate SoC, SoH, and Fault Diagnosis","volume":"31","author":"Mamidi","year":"2025","journal-title":"Metallurgical and Materials Engineering"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MED51440.2021.9480161"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD60883.2024.10553899"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-02709-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/wevj16020087"},{"key":"ref10","article-title":"An Adaptive Estimation Approach based on Fisher Information to Overcome the Challenges of LFP Battery SOC Estimation","author":"Shi","year":"2025","journal-title":"arXiv preprint arXiv:2507.01173"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/en15228558"}],"event":{"name":"2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)","location":"Split, Croatia","start":{"date-parts":[[2025,7,15]]},"end":{"date-parts":[[2025,7,18]]}},"container-title":["2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11321217\/11321218\/11321918.pdf?arnumber=11321918","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T07:46:16Z","timestamp":1768463176000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11321918\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,15]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/codit66093.2025.11321918","relation":{},"subject":[],"published":{"date-parts":[[2025,7,15]]}}}