{"id":"https://openalex.org/W4412610764","doi":"https://doi.org/10.1109/hpcc64274.2024.00229","title":"Autoencoder with Multi-Head Attention for Voltage Anomaly Detection in Electric Vehicle Battery","display_name":"Autoencoder with Multi-Head Attention for Voltage Anomaly Detection in Electric Vehicle Battery","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412610764","doi":"https://doi.org/10.1109/hpcc64274.2024.00229"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc64274.2024.00229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","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/A5076026892","display_name":"Muaaz Bin Kaleem","orcid":"https://orcid.org/0000-0002-0277-7214"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muaaz Bin Kaleem","raw_affiliation_strings":["Central South University,School of Electronic Information,Changsha,China,410075"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Electronic Information,Changsha,China,410075","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338782","display_name":"Heng Li","orcid":"https://orcid.org/0000-0001-5592-7004"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Li","raw_affiliation_strings":["Central South University,School of Electronic Information,Changsha,China,410075"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Electronic Information,Changsha,China,410075","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029242843","display_name":"Muhammad Usman Saeed","orcid":"https://orcid.org/0000-0003-3916-7097"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muhammad Usman Saeed","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101511974","display_name":"Zhijun Liu","orcid":"https://orcid.org/0009-0002-5326-6243"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Liu","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079841400","display_name":"Weirong Liu","orcid":"https://orcid.org/0000-0002-6207-9100"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weirong Liu","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":1.5781,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86198791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1728","last_page":"1735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9984999895095825,"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":0.9984999895095825,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9523000121116638,"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"}},{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.9491999745368958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8008972406387329},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.574131965637207},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.5508775115013123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5237569808959961},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.517377495765686},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.517308235168457},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5064085721969604},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.5020411014556885},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.47155094146728516},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22810915112495422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22613510489463806},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17435547709465027},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.09650588035583496},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08543330430984497},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08208754658699036}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8008972406387329},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.574131965637207},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5508775115013123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5237569808959961},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.517377495765686},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.517308235168457},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5064085721969604},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5020411014556885},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.47155094146728516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22810915112495422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22613510489463806},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17435547709465027},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.09650588035583496},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08543330430984497},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08208754658699036},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","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/hpcc64274.2024.00229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W3134770171","https://openalex.org/W3136740235","https://openalex.org/W3190748826","https://openalex.org/W4210973146","https://openalex.org/W4212866171","https://openalex.org/W4226158669","https://openalex.org/W4283021103","https://openalex.org/W4287660544","https://openalex.org/W4289779195","https://openalex.org/W4297200590","https://openalex.org/W4378637296","https://openalex.org/W4385805771","https://openalex.org/W4386834072","https://openalex.org/W4386873880","https://openalex.org/W4386991629","https://openalex.org/W4389503368","https://openalex.org/W4390241500","https://openalex.org/W4390720784","https://openalex.org/W4391196293","https://openalex.org/W4391871086","https://openalex.org/W4394647811","https://openalex.org/W4394806932","https://openalex.org/W4400741984","https://openalex.org/W4401474594"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W3186512740","https://openalex.org/W4363671829","https://openalex.org/W2780476542"],"abstract_inverted_index":{"With":[0],"the":[1,10,77,82,90,123,129,135,138],"rapid":[2],"growth":[3],"of":[4,14,19,81,128,141],"electric":[5,143],"vehicle":[6],"(EV)":[7],"adoption,":[8],"ensuring":[9],"reliability":[11],"and":[12,69,79,89,99,119],"safety":[13],"their":[15],"battery":[16,124],"systems":[17],"is":[18,132],"significant":[20],"importance.":[21],"Current":[22],"anomaly":[23,54],"detection":[24,55],"methods,":[25],"which":[26],"rely":[27],"primarily":[28],"on":[29,137],"temporal":[30,120],"dependencies,":[31],"often":[32],"overlook":[33],"spatial":[34],"patterns,":[35],"leading":[36],"to":[37,75,95,115],"inaccurate":[38],"detection.":[39],"This":[40],"paper":[41],"introduces":[42],"a":[43,48],"novel":[44],"autoencoder":[45,106],"that":[46],"incorporates":[47],"multi-head":[49,112],"attention":[50,113],"mechanism":[51],"for":[52],"voltage":[53],"in":[56],"EV":[57],"batteries.":[58],"First,":[59],"comprehensive":[60,139],"datasets":[61],"from":[62],"six":[63],"real":[64,142],"EVs":[65],"operating":[66,145],"under":[67,146],"diverse":[68],"dynamic":[70,147],"conditions":[71],"were":[72,87],"collected.":[73],"Second,":[74],"address":[76],"complexity":[78],"variability":[80],"data,":[83],"various":[84],"pre-processing":[85],"techniques":[86],"employed,":[88],"optimal":[91],"method":[92,131],"was":[93,108],"selected":[94],"ensure":[96],"data":[97],"quality":[98],"consistency.":[100],"Third,":[101],"an":[102],"improved":[103],"deep":[104],"learning":[105],"model":[107],"developed,":[109],"incorporating":[110],"multiple":[111],"mechanisms":[114],"capture":[116],"intricate":[117],"patterns":[118],"dependencies":[121],"within":[122],"data.":[125],"The":[126],"effectiveness":[127],"proposed":[130],"verified":[133],"by":[134],"tests":[136],"dataset":[140],"vehicles":[144],"conditions.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}