{"id":"https://openalex.org/W7204447509","doi":"https://doi.org/10.1088/2631-8695/ae9f3c","title":"Exploiting capacity regeneration based on a hybrid model to accurately predict the remaining useful life of lithium-ion batteries","display_name":"Exploiting capacity regeneration based on a hybrid model to accurately predict the remaining useful life of lithium-ion batteries","publication_year":2026,"publication_date":"2026-08-27","ids":{"openalex":"https://openalex.org/W7204447509","doi":"https://doi.org/10.1088/2631-8695/ae9f3c"},"language":"en","primary_location":{"id":"doi:10.1088/2631-8695/ae9f3c","doi":"https://doi.org/10.1088/2631-8695/ae9f3c","is_oa":false,"landing_page_url":"https://doi.org/10.1088/2631-8695/ae9f3c","pdf_url":null,"source":{"id":"https://openalex.org/S4210221144","display_name":"Engineering Research Express","issn_l":"2631-8695","issn":["2631-8695"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Research Express","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5104320306","display_name":"Qiangxiang Zhai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangxiang Zhai","raw_affiliation_strings":["China Jiliang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059939949","display_name":"Hongmin Jiang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Jiang","raw_affiliation_strings":["China Jiliang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148411418","display_name":"Yao Lu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Lu","raw_affiliation_strings":["China Jiliang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089444841","display_name":"Qiaoling Kang","orcid":"https://orcid.org/0000-0001-7584-1582","observed_orcids":["https://orcid.org/0000-0001-7584-1582"]},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoling Kang","raw_affiliation_strings":["China Jiliang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029216662","display_name":"Nengbing Long","orcid":"https://orcid.org/0000-0001-5822-9412","observed_orcids":["https://orcid.org/0000-0001-5822-9412"]},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nengbing Long","raw_affiliation_strings":["Ningbo University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148455908","display_name":"Chunju Lv","orcid":"https://orcid.org/0000-0002-1006-3422","observed_orcids":["https://orcid.org/0000-0002-1006-3422"]},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunju Lv","raw_affiliation_strings":["China Jiliang University"],"raw_orcid":"https://orcid.org/0000-0002-1006-3422","affiliations":[{"raw_affiliation_string":"China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022254172","display_name":"Tingli Ma","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingli Ma","raw_affiliation_strings":["China Jiliang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031821694","display_name":"Mingjiong Zhou","orcid":"https://orcid.org/0000-0001-5833-6664","observed_orcids":["https://orcid.org/0000-0001-5833-6664"]},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjiong Zhou","raw_affiliation_strings":["Ningbo University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008862521","display_name":"Lijing Yan","orcid":"https://orcid.org/0000-0002-3571-1481","observed_orcids":["https://orcid.org/0000-0002-3571-1481"]},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijing Yan","raw_affiliation_strings":["China Jiliang University"],"raw_orcid":"https://orcid.org/0000-0002-3571-1481","affiliations":[{"raw_affiliation_string":"China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148427914","display_name":"Da Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Chen","raw_affiliation_strings":["China Jiliang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5148426646","display_name":"Wenlong Song","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenlong Song","raw_affiliation_strings":["Tianneng Battery Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianneng Battery Group Co., Ltd","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008862521"],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":{"value":2400,"currency":"USD","value_usd":2400},"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":"8","issue":"17","first_page":"175216","last_page":"175216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Battery Modeling and Management","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":"Battery Modeling and Management","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/T10018","display_name":"Advancements in Battery Materials","score":0.0,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.0,"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/lithium-ion-batteries","display_name":"lithium-ion batteries","score":0.8880000114440918},{"id":"https://openalex.org/keywords/remaining-useful-life-prediction","display_name":"remaining useful life prediction","score":0.9929999709129333},{"id":"https://openalex.org/keywords/capacity-recovery","display_name":"capacity recovery","score":0.9940000176429749},{"id":"https://openalex.org/keywords/battery-degradation-modeling","display_name":"battery degradation modeling","score":0.7850000262260437},{"id":"https://openalex.org/keywords/ceemdan","display_name":"CEEMDAN","score":0.9319999814033508},{"id":"https://openalex.org/keywords/graph-convolutional-networks","display_name":"graph convolutional networks","score":0.9259999990463257},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.9480000138282776},{"id":"https://openalex.org/keywords/battery-health-management","display_name":"battery health management","score":0.9449999928474426},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"predictive maintenance","score":0.9739999771118164}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8202000260353088},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6183000206947327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881999731063843},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.45669999718666077},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.45010000467300415},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4041999876499176},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3763999938964844},{"id":"https://openalex.org/C2989104859","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery capacity","level":4,"score":0.36390000581741333},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3395000100135803},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C2778333438","wikidata":"https://www.wikidata.org/wiki/Q16851742","display_name":"Capacity loss","level":4,"score":0.3271999955177307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31700000166893005},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.30649998784065247},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2786000072956085},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/2631-8695/ae9f3c","doi":"https://doi.org/10.1088/2631-8695/ae9f3c","is_oa":false,"landing_page_url":"https://doi.org/10.1088/2631-8695/ae9f3c","pdf_url":null,"source":{"id":"https://openalex.org/S4210221144","display_name":"Engineering Research Express","issn_l":"2631-8695","issn":["2631-8695"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Research Express","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G168981750","display_name":null,"funder_award_id":"22409185","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":35,"referenced_works":["https://openalex.org/W1015042224","https://openalex.org/W2001129496","https://openalex.org/W2100495367","https://openalex.org/W2766859578","https://openalex.org/W2772084711","https://openalex.org/W2895905230","https://openalex.org/W2900438754","https://openalex.org/W2910482310","https://openalex.org/W2915034955","https://openalex.org/W2980011983","https://openalex.org/W2985426613","https://openalex.org/W3011593554","https://openalex.org/W3025145154","https://openalex.org/W3045614568","https://openalex.org/W3101590847","https://openalex.org/W3127344709","https://openalex.org/W3131442660","https://openalex.org/W3164975616","https://openalex.org/W3175326495","https://openalex.org/W3200168711","https://openalex.org/W3209489534","https://openalex.org/W4213025374","https://openalex.org/W4284881694","https://openalex.org/W4285117518","https://openalex.org/W4392660771","https://openalex.org/W4393855159","https://openalex.org/W4393993853","https://openalex.org/W4399615747","https://openalex.org/W4403075030","https://openalex.org/W4403824311","https://openalex.org/W4404313254","https://openalex.org/W4409301718","https://openalex.org/W4410610933","https://openalex.org/W4410755944","https://openalex.org/W7117543831"],"related_works":["https://openalex.org/W7117460504","https://openalex.org/W4403183191","https://openalex.org/W4409741141","https://openalex.org/W7162537493","https://openalex.org/W4403075030","https://openalex.org/W7212432173","https://openalex.org/W4403512575","https://openalex.org/W4414053347","https://openalex.org/W4408266410","https://openalex.org/W2944571264"],"abstract_inverted_index":{"Abstract":[0],"Accurate":[1],"prediction":[2,49],"of":[3,9,19,32],"the":[4,15,24,128,137],"remaining":[5],"useful":[6,193],"life":[7],"(RUL)":[8],"lithium-ion":[10],"batteries":[11],"is":[12],"essential":[13],"for":[14,185,195],"reliability":[16],"and":[17,65,80,102,141,168,190,199],"safety":[18],"modern":[20],"energy":[21],"systems.":[22],"However,":[23],"capacity":[25,33,98],"regeneration":[26],"(CR)":[27],"phenomenon,":[28],"a":[29,72,121,149,182,192],"temporary":[30],"recovery":[31],"during":[34],"cycling":[35],"or":[36,58],"rest,":[37],"introduces":[38],"non-monotonic":[39,187],"fluctuations":[40,116],"in":[41],"degradation":[42,130,139,189],"trajectories,":[43],"posing":[44],"significant":[45],"challenges":[46],"to":[47,96,135],"existing":[48],"models.":[50],"Many":[51],"current":[52],"approaches":[53],"treat":[54],"CR":[55,172],"as":[56],"noise":[57],"overlook":[59],"its":[60],"physical":[61],"significance,":[62],"limiting":[63],"interpretability":[64],"accuracy.":[66],"To":[67],"address":[68],"this,":[69],"we":[70],"propose":[71],"hybrid":[73,146],"framework":[74],"that":[75],"explicitly":[76],"models":[77],"both":[78],"regenerative":[79],"degenerative":[81],"battery":[82,188,196],"behaviors.":[83],"The":[84,144],"method":[85],"uses":[86],"Complete":[87],"Ensemble":[88],"Empirical":[89],"Mode":[90],"Decomposition":[91],"with":[92],"Adaptive":[93],"Noise":[94],"(CEEMDAN)":[95],"decompose":[97],"sequences":[99],"into":[100],"high-":[101],"low-frequency":[103],"components.":[104],"A":[105],"graph":[106],"convolutional":[107],"network-long":[108],"short-term":[109],"memory":[110],"(GCN-LSTM)":[111],"branch":[112,126],"captures":[113,170],"high-frequency":[114],"local":[115],"containing":[117],"regeneration-related":[118],"information,":[119],"while":[120],"deep":[122],"neural":[123],"network":[124],"(DNN)":[125],"learns":[127],"long-term":[129],"trend.":[131],"These":[132],"are":[133],"fused":[134],"reconstruct":[136],"full":[138],"path":[140],"predict":[142],"RUL.":[143],"CEEMDAN-GCN-LSTM-DNN":[145],"model":[147],"achieves":[148],"mean":[150],"absolute":[151],"percentage":[152],"error":[153],"below":[154],"0.15%,":[155],"outperforming":[156],"several":[157],"state-of-the-art":[158],"baselines.":[159],"It":[160],"also":[161],"demonstrates":[162],"strong":[163],"robustness":[164],"under":[165],"data-limited":[166],"conditions":[167],"effectively":[169],"complex":[171],"patterns":[173],"often":[174],"missed":[175],"by":[176],"conventional":[177],"methods.":[178],"This":[179],"study":[180],"offers":[181],"new":[183],"perspective":[184],"handling":[186],"provides":[191],"tool":[194],"health":[197],"management":[198],"predictive":[200],"maintenance.":[201]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-08-28T00:00:00"}
