{"id":"https://openalex.org/W4399773428","doi":"https://doi.org/10.3233/idt-240353","title":"Design of regression neural network model for estimating the remaining useful life of lithium-ion battery","display_name":"Design of regression neural network model for estimating the remaining useful life of lithium-ion battery","publication_year":2024,"publication_date":"2024-06-07","ids":{"openalex":"https://openalex.org/W4399773428","doi":"https://doi.org/10.3233/idt-240353"},"language":"en","primary_location":{"id":"doi:10.3233/idt-240353","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-240353","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","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/A5093760166","display_name":"Kunal Subhash Khandelwal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162439","display_name":"MIT Art, Design and Technology University","ror":"https://ror.org/05b69xa56","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210162439"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kunal Subhash Khandelwal","raw_affiliation_strings":["Department of Electronics and Communication Engineering, MIT School of Engineering and Sciences, MIT Art, Design and Technology University, Pune, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, MIT School of Engineering and Sciences, MIT Art, Design and Technology University, Pune, Maharashtra, India","institution_ids":["https://openalex.org/I4210162439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068367896","display_name":"V. V. Shete","orcid":"https://orcid.org/0000-0001-5821-8940"},"institutions":[{"id":"https://openalex.org/I4210162439","display_name":"MIT Art, Design and Technology University","ror":"https://ror.org/05b69xa56","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210162439"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Virendra V. Shete","raw_affiliation_strings":["Department of Electronics and Communication Engineering, MIT School of Engineering and Sciences, MIT Art, Design and Technology University, Pune, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, MIT School of Engineering and Sciences, MIT Art, Design and Technology University, Pune, Maharashtra, India","institution_ids":["https://openalex.org/I4210162439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5093760166"],"corresponding_institution_ids":["https://openalex.org/I4210162439"],"apc_list":null,"apc_paid":null,"fwci":0.4115,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58367106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"18","issue":"2","first_page":"1615","last_page":"1633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9891999959945679,"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/T13344","display_name":"Industrial Automation and Control Systems","score":0.9704999923706055,"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","display_name":"Battery (electricity)","score":0.6601347327232361},{"id":"https://openalex.org/keywords/lithium","display_name":"Lithium (medication)","score":0.6528053283691406},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5691016316413879},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5359291434288025},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5190801620483398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42544740438461304},{"id":"https://openalex.org/keywords/lithium-ion-battery","display_name":"Lithium-ion battery","score":0.41259926557540894},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.349372535943985},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24889200925827026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23716729879379272},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20014989376068115},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17408505082130432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10892438888549805},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10283350944519043},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06525903940200806},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.053780168294906616}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6601347327232361},{"id":"https://openalex.org/C2778541603","wikidata":"https://www.wikidata.org/wiki/Q152763","display_name":"Lithium (medication)","level":2,"score":0.6528053283691406},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5691016316413879},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5359291434288025},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5190801620483398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42544740438461304},{"id":"https://openalex.org/C2779197387","wikidata":"https://www.wikidata.org/wiki/Q2822895","display_name":"Lithium-ion battery","level":4,"score":0.41259926557540894},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.349372535943985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24889200925827026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23716729879379272},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20014989376068115},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17408505082130432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10892438888549805},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10283350944519043},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06525903940200806},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.053780168294906616},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/idt-240353","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-240353","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1965637984","https://openalex.org/W2341883776","https://openalex.org/W2610722908","https://openalex.org/W2759525351","https://openalex.org/W2790625295","https://openalex.org/W2791632718","https://openalex.org/W2883525675","https://openalex.org/W2920879126","https://openalex.org/W2942016856","https://openalex.org/W2943323587","https://openalex.org/W2944571264","https://openalex.org/W2955134049","https://openalex.org/W2965733862","https://openalex.org/W2966675498","https://openalex.org/W2967756630","https://openalex.org/W2980360699","https://openalex.org/W2981463388","https://openalex.org/W2999053608","https://openalex.org/W3005467525","https://openalex.org/W3036494826","https://openalex.org/W3042828663","https://openalex.org/W3044783558","https://openalex.org/W3047949753","https://openalex.org/W3088183650","https://openalex.org/W3113298532","https://openalex.org/W3176933453","https://openalex.org/W4206321412","https://openalex.org/W4206917632","https://openalex.org/W4361297205","https://openalex.org/W6704513472"],"related_works":["https://openalex.org/W2995074223","https://openalex.org/W2357719166","https://openalex.org/W4224246090","https://openalex.org/W3165173190","https://openalex.org/W31220157","https://openalex.org/W4388039502","https://openalex.org/W2080384327","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2159458361"],"abstract_inverted_index":{"Lithium-ion":[0],"batteries":[1,137],"are":[2],"widely":[3],"utilized":[4],"in":[5,102,114,210],"a":[6,25,99,130,149],"variety":[7],"of":[8,19,61,95,124,136,141,161,170,206],"transportation":[9],"sectors,":[10],"including":[11],"highways,":[12],"airplanes,":[13],"and":[14,35,53,70,91,106],"defensive":[15],"military":[16],"applications":[17],"because":[18],"their":[20],"positive":[21],"features,":[22],"which":[23],"include":[24],"low":[26],"self-discharge":[27],"rate,":[28],"raised":[29],"operating":[30],"voltage,":[31],"prolonged":[32],"cycle":[33],"life,":[34],"high":[36],"energy":[37],"density.":[38],"Nevertheless,":[39],"during":[40],"operation,":[41],"the":[42,59,88,96,103,112,115,134,139,159,162,171,178,196,204,207,213],"battery":[43,97,163,192,214],"undergoes":[44],"adverse":[45],"reactions":[46],"that":[47],"may":[48],"eventually":[49],"cause":[50],"material":[51],"aging":[52,120],"capacity":[54],"deterioration.":[55],"For":[56],"this":[57,125,182],"reason,":[58],"prediction":[60,80,201],"remaining":[62],"useful":[63],"life":[64],"(RUL)":[65],"for":[66,72,111,133,187],"LiBs":[67],"is":[68,127,174,185],"important":[69],"necessary":[71],"ensuring":[73],"reliable":[74],"system":[75],"operation.":[76],"Moreover,":[77,144],"accurate":[78],"RUL":[79],"can":[81],"effectively":[82],"offer":[83],"maintenance":[84],"strategies":[85],"to":[86,128,147,157],"certify":[87],"system\u2019s":[89],"dependability":[90],"safety.":[92],"The":[93,122,168,199],"impedance":[94],"plays":[98],"vital":[100],"role":[101],"degradation":[104,160],"process":[105],"hence":[107],"its":[108],"measurement":[109],"accounts":[110],"changes":[113],"battery\u2019s":[116],"internal":[117],"parameters":[118],"as":[119],"occurs.":[121],"objective":[123],"paper":[126],"create":[129],"forecasting":[131,212],"model":[132,156,173],"lifespan":[135],"through":[138],"application":[140],"data":[142,188,193],"analysis.":[143],"it":[145],"aims":[146],"use":[148],"Regression":[150],"Neural":[151],"Network":[152],"(RNN)":[153],"based":[154],"mathematical":[155],"assess":[158],"across":[164],"diverse":[165],"operational":[166],"scenarios.":[167],"co-efficient":[169],"RNN":[172,179],"found":[175],"by":[176],"solving":[177],"equations.":[180],"In":[181],"research,":[183],"MATLAB":[184],"employed":[186],"analysis,":[189],"utilizing":[190],"open-source":[191],"sourced":[194],"from":[195],"NASA":[197],"dataset.":[198],"conclusive":[200],"outcomes":[202],"indicate":[203],"effectiveness":[205],"proposed":[208],"methodology":[209],"accurately":[211],"RUL.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
