{"id":"https://openalex.org/W4392543540","doi":"https://doi.org/10.1109/tii.2024.3369708","title":"A Deep Transfer Operator Learning Method for Temperature Field Reconstruction in a Lithium-Ion Battery Pack","display_name":"A Deep Transfer Operator Learning Method for Temperature Field Reconstruction in a Lithium-Ion Battery Pack","publication_year":2024,"publication_date":"2024-03-07","ids":{"openalex":"https://openalex.org/W4392543540","doi":"https://doi.org/10.1109/tii.2024.3369708"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3369708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3369708","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5090564987","display_name":"Yuchen Wang","orcid":"https://orcid.org/0000-0002-2372-0428"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Wang","raw_affiliation_strings":["Ningbo Artificial Intelligence Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2372-0428","affiliations":[{"raw_affiliation_string":"Ningbo Artificial Intelligence Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067064295","display_name":"Can Xiong","orcid":"https://orcid.org/0000-0003-3993-6319"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Xiong","raw_affiliation_strings":["Ningbo Artificial Intelligence Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3993-6319","affiliations":[{"raw_affiliation_string":"Ningbo Artificial Intelligence Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056442198","display_name":"Changjiang Ju","orcid":"https://orcid.org/0000-0003-1345-3298"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjiang Ju","raw_affiliation_strings":["Ningbo Artificial Intelligence Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1345-3298","affiliations":[{"raw_affiliation_string":"Ningbo Artificial Intelligence Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001818611","display_name":"Genke Yang","orcid":"https://orcid.org/0000-0003-3492-0211"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genke Yang","raw_affiliation_strings":["Ningbo Artificial Intelligence Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3492-0211","affiliations":[{"raw_affiliation_string":"Ningbo Artificial Intelligence Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002816626","display_name":"Yu\u2010Wang Chen","orcid":"https://orcid.org/0000-0002-2007-1821"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu-wang Chen","raw_affiliation_strings":["Manchester Business School, The University of Manchester, Manchester, U.K"],"raw_orcid":"https://orcid.org/0000-0002-2007-1821","affiliations":[{"raw_affiliation_string":"Manchester Business School, The University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006046841","display_name":"Xiaotian Yu","orcid":"https://orcid.org/0009-0003-9471-9082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaotian Yu","raw_affiliation_strings":["Ningbo Artificial Intelligence Institute, Ningbo, China"],"raw_orcid":"https://orcid.org/0009-0003-9471-9082","affiliations":[{"raw_affiliation_string":"Ningbo Artificial Intelligence Institute, Ningbo, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.119,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91576513,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"6","first_page":"8089","last_page":"8101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9861000180244446,"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":0.9861000180244446,"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":0.9089999794960022,"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-pack","display_name":"Battery pack","score":0.5783656239509583},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5388372540473938},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.5289070010185242},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.49729183316230774},{"id":"https://openalex.org/keywords/ion","display_name":"Ion","score":0.44831186532974243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43710464239120483},{"id":"https://openalex.org/keywords/lithium-ion-battery","display_name":"Lithium-ion battery","score":0.4125964939594269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36642611026763916},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3599874973297119},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.35911238193511963},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.351213276386261},{"id":"https://openalex.org/keywords/nuclear-engineering","display_name":"Nuclear engineering","score":0.33573973178863525},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29823923110961914},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24675077199935913},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.18898436427116394},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.12823128700256348},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.12322616577148438},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.09465375542640686}],"concepts":[{"id":"https://openalex.org/C2778508592","wikidata":"https://www.wikidata.org/wiki/Q420116","display_name":"Battery pack","level":4,"score":0.5783656239509583},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5388372540473938},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.5289070010185242},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.49729183316230774},{"id":"https://openalex.org/C145148216","wikidata":"https://www.wikidata.org/wiki/Q36496","display_name":"Ion","level":2,"score":0.44831186532974243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43710464239120483},{"id":"https://openalex.org/C2779197387","wikidata":"https://www.wikidata.org/wiki/Q2822895","display_name":"Lithium-ion battery","level":4,"score":0.4125964939594269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36642611026763916},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3599874973297119},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.35911238193511963},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.351213276386261},{"id":"https://openalex.org/C116915560","wikidata":"https://www.wikidata.org/wiki/Q83504","display_name":"Nuclear engineering","level":1,"score":0.33573973178863525},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29823923110961914},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24675077199935913},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.18898436427116394},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.12823128700256348},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.12322616577148438},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.09465375542640686},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3369708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3369708","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6499999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1486629044","https://openalex.org/W1633869374","https://openalex.org/W1767661185","https://openalex.org/W1901129140","https://openalex.org/W1996023858","https://openalex.org/W2030191380","https://openalex.org/W2104094955","https://openalex.org/W2131953535","https://openalex.org/W2139923370","https://openalex.org/W2165698076","https://openalex.org/W2737654582","https://openalex.org/W2747452305","https://openalex.org/W2748760860","https://openalex.org/W2780504016","https://openalex.org/W2808628700","https://openalex.org/W2922306207","https://openalex.org/W2944178345","https://openalex.org/W2944939662","https://openalex.org/W2963780177","https://openalex.org/W2964250810","https://openalex.org/W2979786244","https://openalex.org/W2997979610","https://openalex.org/W2998115938","https://openalex.org/W3010501116","https://openalex.org/W3036157773","https://openalex.org/W3045297145","https://openalex.org/W3048551692","https://openalex.org/W3101788906","https://openalex.org/W3104009841","https://openalex.org/W3156793321","https://openalex.org/W3156836934","https://openalex.org/W3201666041","https://openalex.org/W3202685908","https://openalex.org/W4221011444","https://openalex.org/W4221019179","https://openalex.org/W4226227978","https://openalex.org/W4287077061","https://openalex.org/W4292387189","https://openalex.org/W4299799086","https://openalex.org/W4320718938","https://openalex.org/W4385245566","https://openalex.org/W6668457251","https://openalex.org/W6761139768","https://openalex.org/W6779821917","https://openalex.org/W6784333009","https://openalex.org/W6786230346","https://openalex.org/W6787106149","https://openalex.org/W6799174632","https://openalex.org/W6811045322"],"related_works":["https://openalex.org/W3089665826","https://openalex.org/W2769436535","https://openalex.org/W2034497065","https://openalex.org/W2519883542","https://openalex.org/W2735869303","https://openalex.org/W2980755701","https://openalex.org/W2912747347","https://openalex.org/W4381929093","https://openalex.org/W2907099977","https://openalex.org/W3126177523"],"abstract_inverted_index":{"Nonuniform":[0],"thermal":[1,117],"behavior":[2],"in":[3,135,155],"lithium-ion":[4],"battery":[5],"packs":[6],"can":[7,23],"accelerate":[8],"aging,":[9],"leading":[10],"to":[11,26,94,102,121,138,148,175],"inconsistent":[12],"cell":[13],"performance.":[14],"If":[15],"not":[16],"adequately":[17],"monitored":[18],"and":[19,31,98,105,127],"managed,":[20],"this":[21],"heating":[22],"give":[24],"rise":[25],"unwanted":[27],"side":[28],"reactions,":[29],"fires,":[30],"explosions,":[32],"underscoring":[33],"the":[34,50,68,107,114,129,146,151,181,190],"criticality":[35],"of":[36,116,131,193],"temperature":[37,51,70,152],"field":[38,52],"reconstruction.":[39],"In":[40],"recent":[41],"years,":[42],"data-driven":[43,58],"methods":[44],"have":[45],"gained":[46],"popularity":[47],"for":[48],"addressing":[49],"reconstruction":[53],"problem.":[54],"However,":[55],"many":[56],"existing":[57],"approaches":[59],"require":[60],"retraining":[61],"when":[62,187],"system":[63],"parameters":[64],"change,":[65],"such":[66],"as":[67],"initial":[69],"distribution":[71],"or":[72],"working":[73,169],"conditions.":[74],"This":[75],"article":[76],"presents":[77],"a":[78],"deep":[79,177],"transfer":[80,136],"operator":[81],"learning":[82,137,178],"method":[83,162],"named":[84],"physics-informed":[85],"adversarial":[86,133],"networks.":[87],"The":[88,160],"model":[89,108,147],"architecture":[90],"incorporates":[91],"transformer":[92],"blocks":[93],"capture":[95],"comprehensive":[96],"time":[97],"space":[99],"features.":[100],"Additionally,":[101],"enhance":[103],"interpretability":[104],"generalization,":[106],"introduces":[109],"two":[110],"effective":[111],"mechanisms:":[112],"1)":[113],"integration":[115],"partial":[118],"differential":[119],"equations":[120],"ensure":[122],"compliance":[123],"with":[124,189],"physical":[125],"laws;":[126],"2)":[128],"application":[130],"domain":[132],"mechanism":[134],"extract":[139],"domain-invariant":[140],"feature":[141],"representations.":[142],"These":[143],"mechanisms":[144],"enable":[145],"effectively":[149],"reconstruct":[150],"field,":[153],"even":[154,186],"unencountered":[156],"scenarios":[157],"during":[158],"training.":[159],"proposed":[161],"is":[163],"validated":[164],"under":[165],"real-world":[166],"energy":[167],"storage":[168],"conditions,":[170],"demonstrating":[171],"superior":[172],"performance":[173,185],"compared":[174],"state-of-the-art":[176],"methods.":[179],"Notably,":[180],"approach":[182],"exhibits":[183],"excellent":[184],"confronted":[188],"limited":[191],"availability":[192],"training":[194],"data.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
