{"id":"https://openalex.org/W4415180809","doi":"https://doi.org/10.23919/ecc65951.2025.11186898","title":"A Novel Approach for Battery State-of-Health Estimation Using Convolutional Auto-Encoders","display_name":"A Novel Approach for Battery State-of-Health Estimation Using Convolutional Auto-Encoders","publication_year":2025,"publication_date":"2025-06-24","ids":{"openalex":"https://openalex.org/W4415180809","doi":"https://doi.org/10.23919/ecc65951.2025.11186898"},"language":"en","primary_location":{"id":"doi:10.23919/ecc65951.2025.11186898","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc65951.2025.11186898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 European Control Conference (ECC)","raw_type":"proceedings-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/A5049467903","display_name":"Sajad Shahsavari","orcid":"https://orcid.org/0000-0003-3754-1743"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]},{"id":"https://openalex.org/I16231767","display_name":"Turku University of Applied Sciences","ror":"https://ror.org/04s0yt949","country_code":"FI","type":"education","lineage":["https://openalex.org/I16231767"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sajad Shahsavari","raw_affiliation_strings":["Turku University of Applied Sciences,Faculty of Technology and Business,Turku,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Turku University of Applied Sciences,Faculty of Technology and Business,Turku,Finland","institution_ids":["https://openalex.org/I16231767","https://openalex.org/I155660961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031675737","display_name":"Eero Immonen","orcid":"https://orcid.org/0000-0001-5690-287X"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]},{"id":"https://openalex.org/I16231767","display_name":"Turku University of Applied Sciences","ror":"https://ror.org/04s0yt949","country_code":"FI","type":"education","lineage":["https://openalex.org/I16231767"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Eero Immonen","raw_affiliation_strings":["Turku University of Applied Sciences,Faculty of Technology and Business,Turku,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Turku University of Applied Sciences,Faculty of Technology and Business,Turku,Finland","institution_ids":["https://openalex.org/I16231767","https://openalex.org/I155660961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014977873","display_name":"Mohammad-Hashem Haghbayan","orcid":"https://orcid.org/0000-0001-6583-4418"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]},{"id":"https://openalex.org/I16231767","display_name":"Turku University of Applied Sciences","ror":"https://ror.org/04s0yt949","country_code":"FI","type":"education","lineage":["https://openalex.org/I16231767"]},{"id":"https://openalex.org/I183173800","display_name":"Turku Centre for Computer Science","ror":"https://ror.org/00vy7ed73","country_code":"FI","type":"facility","lineage":["https://openalex.org/I130217899","https://openalex.org/I155660961","https://openalex.org/I183173800"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Hashem Haghbayan","raw_affiliation_strings":["University of Turku,Autonomous Systems Laboratory,Department of Computing,Turku,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Turku,Autonomous Systems Laboratory,Department of Computing,Turku,Finland","institution_ids":["https://openalex.org/I155660961","https://openalex.org/I16231767","https://openalex.org/I183173800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075314597","display_name":"Juha Plosila","orcid":"https://orcid.org/0000-0003-4018-5495"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]},{"id":"https://openalex.org/I16231767","display_name":"Turku University of Applied Sciences","ror":"https://ror.org/04s0yt949","country_code":"FI","type":"education","lineage":["https://openalex.org/I16231767"]},{"id":"https://openalex.org/I183173800","display_name":"Turku Centre for Computer Science","ror":"https://ror.org/00vy7ed73","country_code":"FI","type":"facility","lineage":["https://openalex.org/I130217899","https://openalex.org/I155660961","https://openalex.org/I183173800"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Juha Plosila","raw_affiliation_strings":["University of Turku,Autonomous Systems Laboratory,Department of Computing,Turku,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Turku,Autonomous Systems Laboratory,Department of Computing,Turku,Finland","institution_ids":["https://openalex.org/I155660961","https://openalex.org/I16231767","https://openalex.org/I183173800"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.27461166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2433","last_page":"2439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9995999932289124,"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":0.9995999932289124,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9567000269889832,"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/battery","display_name":"Battery (electricity)","score":0.7439000010490417},{"id":"https://openalex.org/keywords/state-of-health","display_name":"State of health","score":0.5238000154495239},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.46059998869895935},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43639999628067017},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4300999939441681},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3874000012874603},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.3109999895095825}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.7439000010490417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6331999897956848},{"id":"https://openalex.org/C2777294910","wikidata":"https://www.wikidata.org/wiki/Q4050070","display_name":"State of health","level":4,"score":0.5238000154495239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517300009727478},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4300999939441681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4074999988079071},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27059999108314514},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc65951.2025.11186898","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc65951.2025.11186898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2495099137","https://openalex.org/W2803617655","https://openalex.org/W2906920201","https://openalex.org/W2924382816","https://openalex.org/W2999951339","https://openalex.org/W3043289899","https://openalex.org/W3109435056","https://openalex.org/W3168027859","https://openalex.org/W3174812422","https://openalex.org/W3202060642","https://openalex.org/W3213705409","https://openalex.org/W4205525415","https://openalex.org/W4210360507","https://openalex.org/W4225277884","https://openalex.org/W4283371044","https://openalex.org/W4290964162","https://openalex.org/W4320912496","https://openalex.org/W4379115994","https://openalex.org/W4386902787","https://openalex.org/W4388783704","https://openalex.org/W4400946453"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"estimation":[1,138],"of":[2,5,43,51,125],"battery":[3,12,26,81,101,116,150],"State":[4],"Health":[6],"(SOH)":[7],"is":[8,40],"crucial":[9],"in":[10,37,100,115,123],"the":[11,41,44,55,93,98,120,128,154],"monitoring":[13],"and":[14,24,88,118,142],"management":[15],"process.":[16],"Several":[17],"methods":[18],"have":[19],"been":[20],"proposed":[21],"to":[22,96,153],"model":[23,139],"estimate":[25,97],"aging":[27],"dynamics,":[28],"either":[29],"formally,":[30],"model-based":[31],"or":[32],"data-driven.":[33],"One":[34],"key":[35],"challenge":[36],"SOH":[38,45,102,130,137],"modeling":[39,46],"generality":[42],"approach,":[47],"which":[48],"requires":[49],"consideration":[50],"inherent":[52],"dependencies":[53],"among":[54],"various":[56],"multidisciplinary":[57],"stress":[58],"factors":[59],"involved.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"present":[65],"an":[66],"end-to-end":[67],"self-supervised":[68],"approach":[69],"based":[70],"on":[71,147],"Convolutional":[72],"Auto-Encoders":[73],"(CAEs)":[74],"for":[75],"learning":[76,157],"informative":[77],"intermediate":[78],"features":[79,95,111,122],"from":[80],"measurable":[82],"properties":[83],"such":[84],"as":[85],"voltage,":[86],"current":[87],"temperature.":[89],"We":[90],"then":[91],"employ":[92],"learned":[94,110],"change":[99],"by":[103],"a":[104],"light-weight":[105],"feed-forward":[106],"neural":[107],"network.":[108],"The":[109],"represent":[112],"essential":[113],"information":[114],"dynamics":[117],"surpass":[119],"human-engineered":[121],"terms":[124],"correlation":[126],"with":[127],"target":[129],"characteristic.":[131],"Utilizing":[132],"these":[133],"representative":[134],"features,":[135],"our":[136],"yields":[140],"58.7%":[141],"45.0%":[143],"average":[144],"performance":[145],"improvement":[146],"two":[148],"large":[149],"datasets":[151],"compared":[152],"state-of-the-art":[155],"machine":[156],"methods.":[158]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-15T00:00:00"}