{"id":"https://openalex.org/W7204090752","doi":"https://doi.org/10.1109/netps70564.2026.11650052","title":"A Federated Learning-Based System for Electric Vehicle Battery Health Prediction and Fault Diagnosis","display_name":"A Federated Learning-Based System for Electric Vehicle Battery Health Prediction and Fault Diagnosis","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7204090752","doi":"https://doi.org/10.1109/netps70564.2026.11650052"},"language":"en","primary_location":{"id":"doi:10.1109/netps70564.2026.11650052","doi":"https://doi.org/10.1109/netps70564.2026.11650052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/netps70564.2026.11650052","pdf_url":null,"source":{"id":"https://openalex.org/S7407096167","display_name":"International Symposium on New Energy Technologies and Power Systems (NETPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 3rd International Symposium on New Energy Technologies and Power Systems (NETPS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/netps70564.2026.11650052","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004554652","display_name":"Rengcun Fang","orcid":"https://orcid.org/0009-0004-8654-4507","observed_orcids":["https://orcid.org/0009-0004-8654-4507"]},"institutions":[{"id":"https://openalex.org/I4210164614","display_name":"Jiangmen Polytechnic","ror":"https://ror.org/05v7z3142","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164614"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongcheng Fang","raw_affiliation_strings":["Jiangmen Polytechnic, Jiangmen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangmen Polytechnic, Jiangmen","institution_ids":["https://openalex.org/I4210164614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147942421","display_name":"Xiuyun Fan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210164614","display_name":"Jiangmen Polytechnic","ror":"https://ror.org/05v7z3142","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164614"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuyun Fan","raw_affiliation_strings":["Jiangmen Polytechnic, Jiangmen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangmen Polytechnic, Jiangmen","institution_ids":["https://openalex.org/I4210164614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148018774","display_name":"Zhaohuang Lin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210164614","display_name":"Jiangmen Polytechnic","ror":"https://ror.org/05v7z3142","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164614"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohuang Lin","raw_affiliation_strings":["Jiangmen Polytechnic, Jiangmen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangmen Polytechnic, Jiangmen","institution_ids":["https://openalex.org/I4210164614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5147993077","display_name":"YongLin Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210164614","display_name":"Jiangmen Polytechnic","ror":"https://ror.org/05v7z3142","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164614"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YongLin Chen","raw_affiliation_strings":["Jiangmen Polytechnic, Jiangmen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangmen Polytechnic, Jiangmen","institution_ids":["https://openalex.org/I4210164614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210164614"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"921","last_page":"926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.86080002784729,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.86080002784729,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10663","display_name":"Battery Modeling and Management","score":0.08449999988079071,"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":0.006500000134110451,"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/federated-learning","display_name":"federated learning","score":0.9850000143051147},{"id":"https://openalex.org/keywords/fault-diagnosis","display_name":"fault diagnosis","score":0.7799999713897705},{"id":"https://openalex.org/keywords/equipment-health-management","display_name":"equipment health management","score":0.8999999761581421},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.7429999709129333},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"differential privacy","score":0.9800000190734863},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.6010000109672546},{"id":"https://openalex.org/keywords/communication-overhead-reduction","display_name":"communication cost reduction","score":0.8539999723434448}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5583000183105469},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5453000068664551},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.47870001196861267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46700000762939453},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.43540000915527344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33799999952316284},{"id":"https://openalex.org/C2779136927","wikidata":"https://www.wikidata.org/wiki/Q900762","display_name":"Electric-vehicle battery","level":4,"score":0.3330000042915344},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.30640000104904175},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.303600013256073},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/netps70564.2026.11650052","doi":"https://doi.org/10.1109/netps70564.2026.11650052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/netps70564.2026.11650052","pdf_url":null,"source":{"id":"https://openalex.org/S7407096167","display_name":"International Symposium on New Energy Technologies and Power Systems (NETPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 3rd International Symposium on New Energy Technologies and Power Systems (NETPS)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/netps70564.2026.11650052","doi":"https://doi.org/10.1109/netps70564.2026.11650052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/netps70564.2026.11650052","pdf_url":null,"source":{"id":"https://openalex.org/S7407096167","display_name":"International Symposium on New Energy Technologies and Power Systems (NETPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 3rd International Symposium on New Energy Technologies and Power Systems (NETPS)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8970999717712402,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W4377000595","https://openalex.org/W4390887437","https://openalex.org/W4396909979","https://openalex.org/W4399768605","https://openalex.org/W4400878190","https://openalex.org/W4409744812","https://openalex.org/W4410227776","https://openalex.org/W4413267649","https://openalex.org/W4417158808"],"related_works":["https://openalex.org/W7204955315","https://openalex.org/W7203783672","https://openalex.org/W7169763711","https://openalex.org/W7140091202","https://openalex.org/W7171515278","https://openalex.org/W4293912806","https://openalex.org/W7213397929","https://openalex.org/W7172393186","https://openalex.org/W7167253312","https://openalex.org/W7220727229"],"abstract_inverted_index":{"The":[0],"management":[1,30],"of":[2,5,12,99,143],"the":[3,9,65,97,140],"health":[4,29,58,146],"industrial":[6],"equipment":[7,28,73,145],"faces":[8],"dual":[10],"challenges":[11],"protecting":[13],"data":[14,123,147],"privacy":[15,91,124],"and":[16,50,86,88,135],"enabling":[17],"multi-site":[18],"collaborative":[19,40,141],"modelling.":[20],"This":[21,36],"paper":[22],"proposes":[23],"an":[24,27,68],"architecture":[25],"for":[26,82,139],"system":[31,37,66],"based":[32],"on":[33],"federated":[34],"learning.":[35],"achieves":[38],"distributed":[39],"modelling":[41],"by":[42,64,106],"carrying":[43],"out":[44],"local":[45],"training":[46],"at":[47,53],"edge":[48],"nodes":[49],"aggregating":[51],"parameters":[52],"a":[54,89,136],"central":[55],"server.":[56],"A":[57,76],"status":[59],"prediction":[60,116],"model":[61,100],"is":[62,80,93,118,148],"constructed":[63],"using":[67],"LSTM":[69],"network,":[70],"which":[71],"captures":[72],"degradation":[74],"trends.":[75],"convolutional":[77],"neural":[78],"network":[79],"used":[81],"fault":[83],"pattern":[84],"classification":[85],"diagnosis,":[87],"differential":[90],"mechanism":[92],"employed":[94],"to":[95],"ensure":[96],"security":[98],"training.":[101],"It":[102],"has":[103],"been":[104],"demonstrated":[105],"experiments":[107],"that":[108,128],"this":[109],"approach":[110,138],"effectively":[111],"reduces":[112],"communication":[113],"overhead":[114],"while":[115],"accuracy":[117],"maintained,":[119],"issues":[120],"associated":[121,130],"with":[122,131],"leakage":[125],"are":[126,129],"addressed":[127],"traditional":[132],"centralized":[133],"training,":[134],"new":[137],"utilisation":[142],"crossenterprise":[144],"provided.":[149]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-25T00:00:00"}
