{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T00:04:14Z","timestamp":1780445054367,"version":"3.54.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T00:00:00Z","timestamp":1745366400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T00:00:00Z","timestamp":1745366400000},"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":[[2025,4,23]]},"DOI":"10.1109\/isqed65160.2025.11014446","type":"proceedings-article","created":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T13:43:30Z","timestamp":1748612610000},"page":"1-8","source":"Crossref","is-referenced-by-count":12,"title":["Battery State of Health Estimation Using LLM Framework"],"prefix":"10.1109","author":[{"given":"Aybars","family":"Yunusoglu","sequence":"first","affiliation":[{"name":"Purdue University,West Lafayette,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dexter","family":"Le","sequence":"additional","affiliation":[{"name":"Drexel University,Philadelphia,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Murat","family":"Isik","sequence":"additional","affiliation":[{"name":"Stanford University,Stanford,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karn","family":"Tiwari","sequence":"additional","affiliation":[{"name":"Indian Institute of Science, Bangalore,Bengaluru,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"I. Can","family":"Dikmen","sequence":"additional","affiliation":[{"name":"Temsa Research & Development Center,Adana,Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Teoman","family":"Karadag","sequence":"additional","affiliation":[{"name":"Temsa Research & Development Center,Adana,Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2020.101656"},{"key":"ref2","article-title":"Multimodal llm for intelligent transportation systems","author":"Le","year":"2024","journal-title":"arXiv preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2023.109313"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.adapen.2024.100188"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-29796-5_2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC62836.2024.10938501"},{"key":"ref7","article-title":"A survey of spiking neural network accelerator on fpga","author":"Isik","year":"2023","journal-title":"arXiv preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2015.07.199"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/wevj11040066"},{"key":"ref10","article-title":"A machine learning approach for evaluation of battery state of health","volume-title":"24th IMEKO TC4 international symposium 22nd international workshop on ADC and DAC modelling and testing IMEKO TC-4","author":"Aloisio","year":"2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2023.108247"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/AIKIIE60097.2023.10390075"},{"key":"ref13","article-title":"Adaptive large language model for predicting lithium-ion battery degradation in energy storage systems","author":"Zheng","journal-title":"Available at SSRN 4910174"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-industry.24"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tte.2024.3391938"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IDAP64064.2024.10711165"},{"key":"ref17","volume-title":"Hydrogen, Batteries and Fuel Cells","author":"Sund\u00e9n","year":"2019"},{"key":"ref18","article-title":"Gpt4battery: An llm-driven framework for adaptive state of health estimation of raw li-ion batteries","author":"Feng","year":"2024","journal-title":"arXiv preprint"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/en17143502"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-98915-8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2024.112703"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3111927"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2023.107161"},{"key":"ref24","volume-title":"Lto battery capacity fading","author":"Dikmen","year":"2024"}],"event":{"name":"2025 26th International Symposium on Quality Electronic Design (ISQED)","location":"San Francisco, CA, USA","start":{"date-parts":[[2025,4,23]]},"end":{"date-parts":[[2025,4,25]]}},"container-title":["2025 26th International Symposium on Quality Electronic Design (ISQED)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11014297\/11014302\/11014446.pdf?arnumber=11014446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T17:34:19Z","timestamp":1760117659000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11014446\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,23]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/isqed65160.2025.11014446","relation":{},"subject":[],"published":{"date-parts":[[2025,4,23]]}}}