{"id":"https://openalex.org/W4413472545","doi":"https://doi.org/10.1109/tim.2025.3600722","title":"FESD: Feature-Enhanced Structured-State-Space Diffusion Model for Battery SOH Prediction and Imputation","display_name":"FESD: Feature-Enhanced Structured-State-Space Diffusion Model for Battery SOH Prediction and Imputation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413472545","doi":"https://doi.org/10.1109/tim.2025.3600722"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3600722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3600722","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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":"https://openalex.org/A5101823633","display_name":"Qiqi Wang","orcid":"https://orcid.org/0000-0002-7721-1274"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiqi Wang","raw_affiliation_strings":["Department of Systems Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-7721-1274","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070592593","display_name":"Min Xie","orcid":"https://orcid.org/0000-0002-8500-8364"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Min Xie","raw_affiliation_strings":["Department of Systems Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-8500-8364","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092494252","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-7651-795X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Faculty of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-7651-795X","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061835916","display_name":"Huadong Mo","orcid":"https://orcid.org/0000-0002-7782-2884"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Huadong Mo","raw_affiliation_strings":["School of Systems and Computing, University of New South Wales, Sydney, NSW, Australia","School of Systems and Computing, University of New South Wales, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7782-2884","affiliations":[{"raw_affiliation_string":"School of Systems and Computing, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Systems and Computing, University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"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":0.20410531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9994000196456909,"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":0.9994000196456909,"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/T10018","display_name":"Advancements in Battery Materials","score":0.9733999967575073,"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/T10281","display_name":"Advanced Battery Materials and Technologies","score":0.9162999987602234,"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/computer-science","display_name":"Computer science","score":0.5335054397583008},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.48215147852897644},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.45001450181007385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42697224020957947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39283281564712524},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37094569206237793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3510299026966095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25463277101516724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21224400401115417},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1926060914993286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5335054397583008},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.48215147852897644},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.45001450181007385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42697224020957947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39283281564712524},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37094569206237793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3510299026966095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25463277101516724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21224400401115417},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1926060914993286},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3600722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3600722","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315488","display_name":"ACT Government","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2040861280","https://openalex.org/W2144352195","https://openalex.org/W2551714397","https://openalex.org/W2799437548","https://openalex.org/W2888518795","https://openalex.org/W2924382816","https://openalex.org/W2980420373","https://openalex.org/W2999951339","https://openalex.org/W3006793235","https://openalex.org/W3111761947","https://openalex.org/W3155072588","https://openalex.org/W3171353223","https://openalex.org/W4213423839","https://openalex.org/W4214662675","https://openalex.org/W4281712829","https://openalex.org/W4308475632","https://openalex.org/W4313420094","https://openalex.org/W4320085913","https://openalex.org/W4321460372","https://openalex.org/W4366824677","https://openalex.org/W4367598765","https://openalex.org/W4378675169","https://openalex.org/W4385453196","https://openalex.org/W4385718746","https://openalex.org/W4386089036","https://openalex.org/W4387970014","https://openalex.org/W4388445086","https://openalex.org/W4388705901","https://openalex.org/W4389076593","https://openalex.org/W4390481236","https://openalex.org/W4390639454","https://openalex.org/W4391913867","https://openalex.org/W4392208038","https://openalex.org/W4392639328","https://openalex.org/W4393251322","https://openalex.org/W4398164319","https://openalex.org/W4399170687","https://openalex.org/W4399768605","https://openalex.org/W4399938738","https://openalex.org/W4400006445","https://openalex.org/W4401026156","https://openalex.org/W4401880018","https://openalex.org/W4401892108","https://openalex.org/W4402448573","https://openalex.org/W4402816992","https://openalex.org/W4404102599","https://openalex.org/W4404552918","https://openalex.org/W4407098488","https://openalex.org/W4408469080","https://openalex.org/W4410021932"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4211215373","https://openalex.org/W3217094455","https://openalex.org/W4409439182","https://openalex.org/W3119637569","https://openalex.org/W2989589450","https://openalex.org/W2405773734","https://openalex.org/W3123325766","https://openalex.org/W2791189374"],"abstract_inverted_index":{"Accurate":[0],"state":[1,62],"of":[2],"health":[3],"(SOH)":[4],"prediction":[5,43,71,140,158],"and":[6,27,72,112,135,141,149,159],"data":[7,90],"imputation":[8,73],"are":[9,100,119],"critical":[10],"for":[11,49,69,137],"advanced":[12],"battery":[13,29,41,88],"management":[14],"systems,":[15],"but":[16],"remain":[17],"challenging":[18],"due":[19],"to":[20,107,164,174],"complex":[21],"degradation":[22,84,110],"patterns,":[23],"diverse":[24,75],"operating":[25],"conditions,":[26,46],"varying":[28],"materials.":[30],"Although":[31],"transfer":[32,176],"learning":[33,177],"methods":[34],"have":[35],"demonstrated":[36],"potential":[37],"in":[38,156],"dealing":[39],"with":[40,44,97],"SOH":[42,70,98,139,157],"various":[45],"their":[47],"need":[48],"fine-tuning":[50],"limits":[51],"real-world":[52],"applications.":[53],"To":[54],"address":[55],"these":[56],"challenges,":[57],"the":[58,80,116,145],"feature":[59,92],"enhanced":[60],"structured":[61,127],"space":[63],"diffusion":[64,123],"model":[65,124],"(FESD)":[66],"is":[67],"proposed":[68],"across":[74],"working":[76],"conditions.":[77],"In":[78],"FESD,":[79],"framework":[81],"first":[82],"extracts":[83],"features":[85,118],"from":[86],"raw":[87],"cycle":[89],"through":[91],"engineering.":[93],"These":[94],"features,":[95],"along":[96],"data,":[99],"then":[101],"processed":[102,117],"by":[103],"a":[104,122,165],"Transformer-based":[105],"architecture":[106],"capture":[108],"intricate":[109],"patterns":[111],"long-range":[113],"dependencies.":[114],"Finally,":[115],"fed":[120],"into":[121],"built":[125],"upon":[126],"state-space":[128],"equations,":[129],"which":[130],"effectively":[131],"captures":[132],"temporal":[133],"dynamics":[134],"allows":[136],"simultaneous":[138],"imputation.":[142,160],"Evaluations":[143],"on":[144],"MIT,":[146],"CALCE,":[147],"NASA,":[148],"HNEI":[150],"datasets":[151],"demonstrate":[152],"FESD\u2019s":[153],"superior":[154],"performance":[155,173],"Notably,":[161],"when":[162],"applied":[163],"new":[166],"dataset":[167],"without":[168],"fine-tuning,":[169],"FESD":[170],"achieves":[171],"comparable":[172],"state-of-the-art":[175],"methods,":[178],"illustrating":[179],"its":[180],"strong":[181],"generalization":[182],"capabilities.":[183]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}