{"id":"https://openalex.org/W4402351506","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651020","title":"Lithium-Ion Battery Aging Estimation Through Deep Learning Techniques","display_name":"Lithium-Ion Battery Aging Estimation Through Deep Learning Techniques","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351506","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651020"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651020","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5111319794","display_name":"Luan L. Santos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luan L. Santos","raw_affiliation_strings":["the Federal University,Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering,Rio de Janeiro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the Federal University,Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering,Rio de Janeiro","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105724218","display_name":"Natanael Nunes de Moura","orcid":"https://orcid.org/0000-0003-0828-6085"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Natanael Nunes De Moura","raw_affiliation_strings":["the Federal University,Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering,Rio de Janeiro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the Federal University,Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering,Rio de Janeiro","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113373631","display_name":"Robson F. S. Dias","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robson F. S. Dias","raw_affiliation_strings":["the Federal University,Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering,Rio de Janeiro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the Federal University,Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering,Rio de Janeiro","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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":0.14589535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.982699990272522,"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":0.5919510722160339},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.5240557193756104},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5058386325836182},{"id":"https://openalex.org/keywords/lithium-ion-battery","display_name":"Lithium-ion battery","score":0.4631589651107788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4555138945579529},{"id":"https://openalex.org/keywords/lithium","display_name":"Lithium (medication)","score":0.4465633034706116},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4427235722541809},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3509216904640198},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17569780349731445},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1171301007270813},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.1040220558643341},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.10042613744735718},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06558647751808167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919510722160339},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.5240557193756104},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5058386325836182},{"id":"https://openalex.org/C2779197387","wikidata":"https://www.wikidata.org/wiki/Q2822895","display_name":"Lithium-ion battery","level":4,"score":0.4631589651107788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4555138945579529},{"id":"https://openalex.org/C2778541603","wikidata":"https://www.wikidata.org/wiki/Q152763","display_name":"Lithium (medication)","level":2,"score":0.4465633034706116},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4427235722541809},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3509216904640198},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17569780349731445},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1171301007270813},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.1040220558643341},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.10042613744735718},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06558647751808167},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651020","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W2001045363","https://openalex.org/W2064675550","https://openalex.org/W2124776405","https://openalex.org/W3096459816","https://openalex.org/W3171353223","https://openalex.org/W3200695454","https://openalex.org/W4229052262","https://openalex.org/W4361828710","https://openalex.org/W4376612800","https://openalex.org/W6640212811","https://openalex.org/W6745917011","https://openalex.org/W6768705817","https://openalex.org/W6799328228","https://openalex.org/W6847192222","https://openalex.org/W6853338194"],"related_works":["https://openalex.org/W2995074223","https://openalex.org/W2357719166","https://openalex.org/W4224246090","https://openalex.org/W3165173190","https://openalex.org/W4388039502","https://openalex.org/W2080384327","https://openalex.org/W2159458361","https://openalex.org/W3161330592","https://openalex.org/W2274723115","https://openalex.org/W3089487084"],"abstract_inverted_index":{"The":[0,40],"degradation":[1,67],"mechanisms":[2],"of":[3,43,51,85,91],"lithium-ion":[4],"batteries":[5],"are":[6],"not":[7],"fully":[8],"modeled":[9],"due":[10],"to":[11,47,64],"their":[12,77],"heavily":[13],"non-linear":[14],"nature.":[15],"Understanding":[16],"how":[17],"manufacturing":[18],"processes,":[19],"application":[20],"demands,":[21],"and":[22,68],"environmental":[23],"conditions":[24],"impact":[25],"battery":[26],"performance,":[27],"ensuring":[28],"consistent":[29],"energy":[30],"delivery":[31],"over":[32],"the":[33,49,61,88],"cell\u2019s":[34],"lifetime,":[35],"poses":[36],"a":[37,83,99],"significant":[38],"challenge.":[39],"primary":[41],"objective":[42],"this":[44,57],"study":[45],"is":[46,63],"evaluate":[48],"effectiveness":[50],"deep":[52,100],"learning":[53],"algorithms":[54,72],"in":[55],"addressing":[56],"intricate":[58],"issue.":[59],"Specifically,":[60],"goal":[62],"estimate":[65],"current":[66],"determine":[69],"whether":[70],"these":[71],"offer":[73],"benefits":[74],"that":[75],"justify":[76],"training":[78],"complexity.":[79],"Our":[80],"approach":[81],"achieves":[82],"value":[84],"4.02%":[86],"for":[87],"main":[89],"figure":[90],"merit,":[92],"Mean":[93],"Absolute":[94],"Percentage":[95],"Error":[96],"(MAPE),":[97],"employing":[98],"GRU":[101],"architecture.":[102]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
