{"id":"https://openalex.org/W3127344709","doi":"https://doi.org/10.1109/tvt.2021.3055811","title":"Predictive Battery Health Management With Transfer Learning and Online Model Correction","display_name":"Predictive Battery Health Management With Transfer Learning and Online Model Correction","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3127344709","doi":"https://doi.org/10.1109/tvt.2021.3055811","mag":"3127344709"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2021.3055811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3055811","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5080342034","display_name":"Yunhong Che","orcid":"https://orcid.org/0000-0002-7350-0001"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunhong Che","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028738691","display_name":"Zhongwei Deng","orcid":"https://orcid.org/0000-0002-5834-1583"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Deng","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077446544","display_name":"Xianke Lin","orcid":"https://orcid.org/0000-0001-5695-248X"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xianke Lin","raw_affiliation_strings":["Ontario Tech University, Oshawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University, Oshawa, ON, Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037027582","display_name":"Lin Hu","orcid":"https://orcid.org/0000-0002-2658-8629"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Hu","raw_affiliation_strings":["Changsha University of Science and Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaosong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosong Hu","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080342034"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":15.7994,"has_fulltext":false,"cited_by_count":246,"citation_normalized_percentile":{"value":0.99543185,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"70","issue":"2","first_page":"1269","last_page":"1277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":1.0,"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":1.0,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T10018","display_name":"Advancements in Battery Materials","score":0.9912999868392944,"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/battery","display_name":"Battery (electricity)","score":0.6416361927986145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5812652707099915},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48999491333961487},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4867284595966339},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4857340455055237},{"id":"https://openalex.org/keywords/state-of-health","display_name":"State of health","score":0.48008209466934204},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47982168197631836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46189913153648376},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4387351870536804},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.43021702766418457},{"id":"https://openalex.org/keywords/health-management-system","display_name":"Health management system","score":0.41490301489830017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3876113295555115},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.341305673122406},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.15673497319221497}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6416361927986145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5812652707099915},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48999491333961487},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4867284595966339},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4857340455055237},{"id":"https://openalex.org/C2777294910","wikidata":"https://www.wikidata.org/wiki/Q4050070","display_name":"State of health","level":4,"score":0.48008209466934204},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47982168197631836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46189913153648376},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4387351870536804},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.43021702766418457},{"id":"https://openalex.org/C171265473","wikidata":"https://www.wikidata.org/wiki/Q5691117","display_name":"Health management system","level":3,"score":0.41490301489830017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3876113295555115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.341305673122406},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.15673497319221497},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2021.3055811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3055811","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/3318d405-cf2f-4c04-a1a6-2a39ff3563e9","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/3318d405-cf2f-4c04-a1a6-2a39ff3563e9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Che, Y, Deng, Z, Lin, X, Hu, L & Hu, X 2021, 'Predictive Battery Health Management with Transfer Learning and Online Model Correction', IEEE Transactions on Vehicular Technology, vol. 70, no. 2, 9343713, pp. 1269-1277. https://doi.org/10.1109/TVT.2021.3055811","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2569194513","display_name":null,"funder_award_id":"51875054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4747378765","display_name":null,"funder_award_id":"U1864212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1970117202","https://openalex.org/W1973261402","https://openalex.org/W2165698076","https://openalex.org/W2192203593","https://openalex.org/W2774791859","https://openalex.org/W2781564233","https://openalex.org/W2790625295","https://openalex.org/W2890169947","https://openalex.org/W2907460853","https://openalex.org/W2910482310","https://openalex.org/W2924382816","https://openalex.org/W2944851425","https://openalex.org/W2957056027","https://openalex.org/W2963691557","https://openalex.org/W2965733862","https://openalex.org/W2968677983","https://openalex.org/W2978202285","https://openalex.org/W2980373352","https://openalex.org/W2980420373","https://openalex.org/W2985426613","https://openalex.org/W2999951339","https://openalex.org/W3007217854","https://openalex.org/W3012264837","https://openalex.org/W3013372615","https://openalex.org/W3017186475","https://openalex.org/W3029611275","https://openalex.org/W3033613562","https://openalex.org/W3034145071","https://openalex.org/W3035047300","https://openalex.org/W3036910660","https://openalex.org/W3039037816","https://openalex.org/W3047949753","https://openalex.org/W3074222438","https://openalex.org/W3106691138","https://openalex.org/W3118696462","https://openalex.org/W4250402431","https://openalex.org/W6787663165"],"related_works":["https://openalex.org/W1968523686","https://openalex.org/W298893735","https://openalex.org/W2199291344","https://openalex.org/W4210770325","https://openalex.org/W4225394202","https://openalex.org/W2211316729","https://openalex.org/W4405995279","https://openalex.org/W2115233498","https://openalex.org/W2809859787","https://openalex.org/W4381059967"],"abstract_inverted_index":{"Significant":[0],"progress":[1],"has":[2,39],"been":[3],"made":[4],"in":[5,8],"transportation":[6],"electrification":[7],"recent":[9],"years.":[10],"As":[11],"the":[12,22,70,88,95,108,126,132,157,163,178,183,188,193,230,236],"main":[13],"energy":[14],"storage":[15],"device,":[16],"lithium-ion":[17],"batteries":[18,224],"are":[19,212],"one":[20],"of":[21,97,114,162,220,223,246],"key":[23],"components":[24],"that":[25,182],"need":[26],"to":[27,63,86,93,106,124,156,166,176],"be":[28,199],"properly":[29],"managed.":[30],"The":[31,142,204,214],"remaining":[32,65,127,240],"useful":[33,66,128,241],"life,":[34,98],"which":[35,137,196],"represents":[36],"battery":[37,151,165],"health,":[38],"attracted":[40],"increasing":[41],"attention.":[42],"Because":[43],"accurate":[44,168],"and":[45,54,74,99,117,229],"robust":[46],"predictions":[47],"provide":[48,167],"important":[49],"information":[50],"for":[51,90,209],"predictive":[52],"maintenance":[53],"cascade":[55],"utilization.":[56],"This":[57],"paper":[58],"proposes":[59],"a":[60,100,112,149,171,221],"novel":[61],"method":[62,215,238],"predict":[64,125],"life":[67,129,242],"based":[68,130,147],"on":[69,131,148],"optimized":[71,133],"health":[72,91,109,134],"indicators":[73,92,135],"online":[75,140],"model":[76,144],"correction":[77],"with":[78,243],"transfer":[79,115],"learning.":[80],"Gaussian":[81],"process":[82],"regression":[83,179],"is":[84,104,122,152,174,216],"used":[85],"optimize":[87],"threshold":[89],"determine":[94],"end":[96],"usefulness":[101],"evaluation":[102],"strategy":[103,173],"proposed":[105,175,237],"assess":[107],"indicators.":[110],"Then,":[111],"combination":[113],"learning":[116],"gated":[118],"recurrent":[119],"neural":[120],"network":[121],"designed":[123],"directly,":[136],"can":[138,185],"promote":[139],"applications.":[141],"prediction":[143,190],"initially":[145],"trained":[146],"relevant":[150],"further":[153],"fine-tuned":[154],"according":[155],"early":[158],"degradation":[159],"cycling":[160],"data":[161],"test":[164],"predictions.":[169],"Moreover,":[170],"self-correction":[172],"retrain":[177],"models":[180,184],"so":[181],"gradually":[186],"reach":[187],"optimal":[189],"performance":[191],"during":[192],"operating":[194],"cycles,":[195],"could":[197],"not":[198],"achieved":[200],"by":[201,218],"traditional":[202],"methods.":[203],"recommended":[205],"input":[206],"sequence":[207],"lengths":[208],"potential":[210],"applications":[211],"discussed.":[213],"verified":[217],"experiments":[219],"batch":[222],"under":[225],"fast":[226],"charging":[227],"conditions,":[228],"results":[231],"show":[232],"that,":[233],"after":[234],"fine-tuning,":[235],"predicts":[239],"an":[244],"error":[245],"fewer":[247],"than":[248],"5":[249],"cycles.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":56},{"year":2024,"cited_by_count":57},{"year":2023,"cited_by_count":47},{"year":2022,"cited_by_count":48},{"year":2021,"cited_by_count":18}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
