{"id":"https://openalex.org/W7134959114","doi":"https://doi.org/10.1109/tie.2026.3665970","title":"Battery State of Health Estimation and Incremental Capacity Analysis under Dynamic Charging Profile Using Neural Networks","display_name":"Battery State of Health Estimation and Incremental Capacity Analysis under Dynamic Charging Profile Using Neural Networks","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134959114","doi":"https://doi.org/10.1109/tie.2026.3665970"},"language":null,"primary_location":{"id":"doi:10.1109/tie.2026.3665970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2026.3665970","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"},"type":"article","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":null,"display_name":"Qinan Zhou","orcid":"https://orcid.org/0000-0002-4049-6077"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qinan Zhou","raw_affiliation_strings":["Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-4049-6077","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128725745","display_name":"Gabrielle Vuylsteke","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gabrielle Vuylsteke","raw_affiliation_strings":["Research and Advanced Engineering, Ford Motor Company, Dearborn, MI, USA"],"raw_orcid":"https://orcid.org/0009-0004-5431-9970","affiliations":[{"raw_affiliation_string":"Research and Advanced Engineering, Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128756084","display_name":"R. Dyche Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Dyche Anderson","raw_affiliation_strings":["Research and Advanced Engineering, Ford Motor Company, Dearborn, MI, USA"],"raw_orcid":"https://orcid.org/0000-0001-8127-2216","affiliations":[{"raw_affiliation_string":"Research and Advanced Engineering, Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124889325","display_name":"Jing Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Sun","raw_affiliation_strings":["Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-1223-8986","affiliations":[{"raw_affiliation_string":"Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23078745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"73","issue":"8","first_page":"12228","last_page":"12239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9988999962806702,"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":0.9988999962806702,"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/T10281","display_name":"Advanced Battery Materials and Technologies","score":9.999999747378752e-05,"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/T10409","display_name":"Fuel Cells and Related Materials","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.7243000268936157},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.548799991607666},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5110999941825867},{"id":"https://openalex.org/keywords/battery-capacity","display_name":"Battery capacity","score":0.5077999830245972},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.49549999833106995},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49380001425743103},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.48559999465942383},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.47859999537467957}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.7243000268936157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001000046730042},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.548799991607666},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C2989104859","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery capacity","level":4,"score":0.5077999830245972},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49380001425743103},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.48559999465942383},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.46230000257492065},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3711000084877014},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31869998574256897},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.31540000438690186},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C2777294910","wikidata":"https://www.wikidata.org/wiki/Q4050070","display_name":"State of health","level":4,"score":0.31150001287460327},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.25609999895095825},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2026.3665970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2026.3665970","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Incremental":[0],"capacity":[1,59],"analysis":[2,7],"(ICA)":[3],"and":[4,37,61,77,85,111,120,128,153,163],"differential":[5,63],"voltage":[6,64],"(DVA)":[8],"are":[9,79,113,146],"two":[10,69,106],"effective":[11],"approaches":[12],"for":[13,20,117],"battery":[14,141,156],"degradation":[15,44,157],"monitoring.":[16],"One":[17],"limiting":[18],"factor":[19],"their":[21],"real-world":[22],"application":[23],"is":[24,66],"that":[25,41,101],"they":[26],"require":[27],"constant-current":[28],"(CC)":[29],"charging":[30,48,51,94],"profiles.":[31,52],"This":[32],"research":[33],"removes":[34],"this":[35],"limitation":[36],"proposes":[38],"an":[39,136],"approach":[40],"extends":[42],"ICA/DVA-based":[43,155],"monitoring":[45,158],"from":[46,92],"CC":[47],"to":[49,81,123,148],"dynamic":[50,93],"A":[53],"novel":[54],"concept":[55],"of":[56,89,140],"virtual":[57,62],"incremental":[58],"(VIC)":[60],"(VDV)":[65],"proposed.":[67],"Then,":[68],"related":[70],"convolutional":[71],"neural":[72],"networks":[73],"(CNNs),":[74],"called":[75,108],"U-Net":[76,110,119],"Conv-Net,":[78,121],"proposed":[80,114,144],"construct":[82],"VIC/VDV":[83,151],"curves":[84,152],"estimate":[86],"the":[87,118,125,143],"state":[88],"health":[90],"(SOH)":[91],"profiles":[95],"across":[96],"any":[97],"state-of-charge":[98],"(SOC)":[99],"range":[100],"satisfies":[102],"some":[103],"constraints.":[104],"Finally,":[105],"CNNs":[107,145],"Mobile":[109],"Mobile-Net":[112],"as":[115],"replacements":[116],"respectively,":[122],"reduce":[124],"computational":[126],"footprint":[127],"memory":[129],"requirements,":[130],"while":[131],"keeping":[132],"similar":[133],"performance.":[134],"Using":[135],"extensive":[137],"experimental":[138],"dataset":[139],"modules,":[142],"demonstrated":[147],"provide":[149],"accurate":[150],"enable":[154],"under":[159],"various":[160],"fast-charging":[161],"protocols":[162],"different":[164],"SOC":[165],"ranges.":[166]},"counts_by_year":[],"updated_date":"2026-06-25T06:16:34.145877","created_date":"2026-03-12T00:00:00"}
