{"id":"https://openalex.org/W4415251719","doi":"https://doi.org/10.1002/qre.70099","title":"A Remaining Useful Life Prediction Method for Lithium Battery Based on Dynamic Regression Selection Algorithm","display_name":"A Remaining Useful Life Prediction Method for Lithium Battery Based on Dynamic Regression Selection Algorithm","publication_year":2025,"publication_date":"2025-10-16","ids":{"openalex":"https://openalex.org/W4415251719","doi":"https://doi.org/10.1002/qre.70099"},"language":"en","primary_location":{"id":"doi:10.1002/qre.70099","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.70099","pdf_url":null,"source":{"id":"https://openalex.org/S165633816","display_name":"Quality and Reliability Engineering International","issn_l":"0748-8017","issn":["0748-8017","1099-1638"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quality and Reliability Engineering International","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/A5079187284","display_name":"Hairong Wang","orcid":"https://orcid.org/0000-0002-8960-5131"},"institutions":[{"id":"https://openalex.org/I4210101451","display_name":"Nanjing University of Industry Technology","ror":"https://ror.org/00qf07q44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101451"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hairong Wang","raw_affiliation_strings":["College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing China","Dawning Industry Nanjing Research Institute Co., Ltd. Nanjing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Dawning Industry Nanjing Research Institute Co., Ltd. Nanjing China","institution_ids":["https://openalex.org/I4210101451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102134959","display_name":"Junjie Zhu","orcid":"https://orcid.org/0009-0009-5036-4236"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjie Zhu","raw_affiliation_strings":["College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing China"],"raw_orcid":"https://orcid.org/0009-0009-5036-4236","affiliations":[{"raw_affiliation_string":"College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391394","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0001-5298-4142"},"institutions":[{"id":"https://openalex.org/I4210128032","display_name":"Beibu Gulf University","ror":"https://ror.org/031j0at32","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["Beibu Gulf University Guangxi China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beibu Gulf University Guangxi China","institution_ids":["https://openalex.org/I4210128032"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102134959"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":{"value":4330,"currency":"USD","value_usd":4330},"apc_paid":null,"fwci":0.4247,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65662714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"42","issue":"2","first_page":"538","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9865999817848206,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9865000247955322,"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/robustness","display_name":"Robustness (evolution)","score":0.5964000225067139},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5841000080108643},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5601000189781189},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.498199999332428},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4668000042438507},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4652000069618225},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.41130000352859497},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4050999879837036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7328000068664551},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5964000225067139},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5841000080108643},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5601000189781189},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5056999921798706},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.498199999332428},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4666000008583069},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4652000069618225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4577000141143799},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.41130000352859497},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3540000021457672},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2703000009059906},{"id":"https://openalex.org/C2779004117","wikidata":"https://www.wikidata.org/wiki/Q899079","display_name":"Lithium battery","level":4,"score":0.2667999863624573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2619999945163727}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/qre.70099","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.70099","pdf_url":null,"source":{"id":"https://openalex.org/S165633816","display_name":"Quality and Reliability Engineering International","issn_l":"0748-8017","issn":["0748-8017","1099-1638"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quality and Reliability Engineering International","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1486374257","https://openalex.org/W1969506110","https://openalex.org/W1996801827","https://openalex.org/W2885195348","https://openalex.org/W2918540269","https://openalex.org/W2964780870","https://openalex.org/W2970499675","https://openalex.org/W2995533873","https://openalex.org/W2997418121","https://openalex.org/W3011952957","https://openalex.org/W3012340517","https://openalex.org/W3012958665","https://openalex.org/W3013372615","https://openalex.org/W3040694753","https://openalex.org/W3044164799","https://openalex.org/W3097439325","https://openalex.org/W3129392728","https://openalex.org/W3140854437","https://openalex.org/W3154061193","https://openalex.org/W3154536652","https://openalex.org/W3175326495","https://openalex.org/W3197832608","https://openalex.org/W3199081584","https://openalex.org/W3215934999","https://openalex.org/W4205629695","https://openalex.org/W4212889492","https://openalex.org/W4221108419","https://openalex.org/W4225678079","https://openalex.org/W4225811398","https://openalex.org/W4281674107","https://openalex.org/W4292622151","https://openalex.org/W4296903331","https://openalex.org/W4299799086","https://openalex.org/W4308522111","https://openalex.org/W4310128702","https://openalex.org/W4311005222","https://openalex.org/W4311765452","https://openalex.org/W4319870032","https://openalex.org/W4321195933","https://openalex.org/W4360612327","https://openalex.org/W4362604044","https://openalex.org/W4366148857","https://openalex.org/W4366520877","https://openalex.org/W4382559748","https://openalex.org/W4386247037","https://openalex.org/W4388303139","https://openalex.org/W4389781622","https://openalex.org/W4393254766","https://openalex.org/W4394590259","https://openalex.org/W4400187604","https://openalex.org/W4406444775","https://openalex.org/W4407139473","https://openalex.org/W4410241961","https://openalex.org/W4411176280"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Accurate":[1],"prediction":[2],"of":[3,19,55,94,109,135,151],"remaining":[4],"useful":[5],"life":[6],"(RUL)":[7],"is":[8,27,87],"a":[9,37,76],"critical":[10],"technology":[11],"for":[12],"ensuring":[13],"the":[14,42,53,72,91,99,106,110,116,122,155],"safe":[15],"and":[16,60,85,96,130,139,147,159,166],"efficient":[17],"utilisation":[18],"lithium":[20],"batteries.":[21],"Effective":[22],"feature":[23],"extraction":[24],"from":[25],"data":[26,143],"pivotal":[28],"in":[29,133,163],"achieving":[30],"precise":[31],"RUL":[32],"predictions.":[33],"This":[34],"study":[35],"introduces":[36],"novel":[38],"approach":[39],"by":[40],"defining":[41],"input":[43],"as":[44],"uniformly":[45],"sized":[46],"greyscale":[47],"images,":[48],"which":[49,89],"not":[50],"only":[51],"facilitates":[52],"training":[54],"convolutional":[56],"neural":[57],"networks":[58],"(CNN)":[59],"long":[61],"short\u2010term":[62],"memory":[63],"(LSTM)":[64],"models":[65,103,132],"but":[66],"also":[67],"minimises":[68],"information":[69],"loss":[70],"during":[71],"preprocessing":[73],"stage.":[74],"Furthermore,":[75],"dynamic":[77],"regression":[78],"selection":[79],"(DRS)":[80],"algorithm":[81,125],"based":[82,104],"on":[83,105,115],"CNN":[84,129],"LSTM":[86,131],"proposed,":[88],"emphasises":[90],"local":[92],"performance":[93],"sub\u2010models":[95],"intelligently":[97],"selects":[98],"most":[100],"suitable":[101],"predictive":[102,137],"inherent":[107],"characteristics":[108],"data.":[111],"Extensive":[112],"validation":[113],"conducted":[114],"NASA":[117],"battery":[118,167],"dataset":[119],"demonstrates":[120],"that":[121],"proposed":[123,156],"CNN\u2010LSTM\u2010DRS":[124],"significantly":[126],"outperforms":[127],"standalone":[128],"terms":[134],"accuracy,":[136],"capability,":[138],"robustness":[140],"across":[141],"various":[142],"sizes":[144],"(60%,":[145],"70%":[146],"80%).":[148],"The":[149],"results":[150],"this":[152],"research":[153],"highlight":[154],"methodology's":[157],"effectiveness":[158],"contribute":[160],"to":[161],"advancements":[162],"energy":[164],"storage":[165],"management":[168],"systems.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-16T00:00:00"}
