{"id":"https://openalex.org/W4415970164","doi":"https://doi.org/10.1109/iecon58223.2025.11221645","title":"Noise-Resilient State Estimation of Lithium-Ion Batteries Based on the Decoupled Iterative Modelling","display_name":"Noise-Resilient State Estimation of Lithium-Ion Batteries Based on the Decoupled Iterative Modelling","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415970164","doi":"https://doi.org/10.1109/iecon58223.2025.11221645"},"language":null,"primary_location":{"id":"doi:10.1109/iecon58223.2025.11221645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon58223.2025.11221645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010797221","display_name":"S. F. Zhang","orcid":"https://orcid.org/0009-0003-6975-5655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuo Zhang","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015097483","display_name":"Xijian Lin","orcid":"https://orcid.org/0000-0003-3295-0118"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xijian Lin","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101796578","display_name":"Zifeng Chen","orcid":"https://orcid.org/0009-0004-7385-9825"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zifeng Chen","raw_affiliation_strings":["The Hong Kong University of Science and Technology,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology,Hong Kong,China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076443014","display_name":"Dianxun Xiao","orcid":"https://orcid.org/0000-0003-1157-9209"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dianxun Xiao","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10175","display_name":"Advanced DC-DC Converters","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10223","display_name":"Microgrid Control and Optimization","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6481000185012817},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6449000239372253},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5788999795913696},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5788000226020813},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5317999720573425},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.49230000376701355},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4187000095844269},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.39469999074935913}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6481000185012817},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6449000239372253},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5788999795913696},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5788000226020813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425000190734863},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5317999720573425},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.49230000376701355},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4187000095844269},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.39469999074935913},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3767000138759613},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.35920000076293945},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.35269999504089355},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.34200000762939453},{"id":"https://openalex.org/C39425265","wikidata":"https://www.wikidata.org/wiki/Q7098944","display_name":"Optimal estimation","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3271999955177307},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3208000063896179},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C86426650","wikidata":"https://www.wikidata.org/wiki/Q7452504","display_name":"Sequential estimation","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.26350000500679016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon58223.2025.11221645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon58223.2025.11221645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2615004822","https://openalex.org/W2755729630","https://openalex.org/W2901811437","https://openalex.org/W2945571737","https://openalex.org/W3014259513","https://openalex.org/W3016522597","https://openalex.org/W3132830224","https://openalex.org/W4312552338","https://openalex.org/W4312961115","https://openalex.org/W4388736798","https://openalex.org/W4393371111","https://openalex.org/W4400770787","https://openalex.org/W4403424753","https://openalex.org/W4404688250","https://openalex.org/W4409695728"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"estimation":[1,47,54,102,115,133],"of":[2,5,10,20,55,113,122,140],"the":[3,18,30,78,84,94,101,110,114,128,138],"state":[4],"charge":[6],"(SOC)":[7],"and":[8,39,52,57,81,108],"capacity":[9],"lithium-ion":[11],"batteries":[12],"(LIBs)":[13],"is":[14,65,73,98],"essential":[15],"for":[16],"ensuring":[17],"reliability":[19,112],"energy":[21],"storage":[22],"systems.":[23],"Conventional":[24],"model-based":[25],"methods":[26],"often":[27],"suffer":[28],"from":[29],"strong":[31],"coupling":[32],"between":[33],"these":[34],"states,":[35],"complicating":[36],"estimator":[37],"design":[38],"reducing":[40],"robustness.":[41],"This":[42],"paper":[43],"proposes":[44],"a":[45,69,120],"novel":[46],"framework":[48,130],"that":[49,127],"achieves":[50],"precise":[51],"decoupled":[53,61],"SOC":[56,80],"capacity.":[58,86],"A":[59],"battery":[60,85],"iterative":[62],"modelling":[63],"(DIM)":[64],"developed,":[66],"in":[67],"which":[68],"dedicated":[70],"cost":[71],"function":[72],"designed":[74],"to":[75],"iteratively":[76],"estimate":[77],"optimal":[79],"separately":[82],"identify":[83],"To":[87],"further":[88],"enhance":[89],"robustness":[90],"against":[91],"measurement":[92],"noise,":[93],"Kalman":[95],"Filter":[96],"(KF)":[97],"integrated":[99],"into":[100],"loop,":[103],"providing":[104],"active":[105],"noise":[106],"suppression,":[107],"improving":[109],"overall":[111],"process.":[116],"Experimental":[117],"validations":[118],"under":[119],"variety":[121],"dynamic":[123],"operating":[124],"conditions":[125],"demonstrate":[126],"proposed":[129],"significantly":[131],"improves":[132],"accuracy":[134],"while":[135],"effectively":[136],"mitigating":[137],"impact":[139],"sensor":[141],"noise.":[142]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-06T00:00:00"}