{"id":"https://openalex.org/W4408557713","doi":"https://doi.org/10.1177/18724981251324188","title":"Innovative strategies for assessing battery health in electric vehicles","display_name":"Innovative strategies for assessing battery health in electric vehicles","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4408557713","doi":"https://doi.org/10.1177/18724981251324188"},"language":"en","primary_location":{"id":"doi:10.1177/18724981251324188","is_oa":true,"landing_page_url":"https://doi.org/10.1177/18724981251324188","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251324188","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":true,"oa_status":"bronze","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251324188","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115076835","display_name":"Yue Wang","orcid":"https://orcid.org/0009-0003-6204-5810"},"institutions":[{"id":"https://openalex.org/I4210156872","display_name":"Guizhou Institute of Technology","ror":"https://ror.org/05x510r30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["College of Economics and Management, Guizhou Institute of Technology, Guiyang, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics and Management, Guizhou Institute of Technology, Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I4210156872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454543","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-8771-2921"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":["College of Big Data Application &amp; Economics, Guizhou University of Finance &amp; Economics, Guiyang, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data Application &amp; Economics, Guizhou University of Finance &amp; Economics, Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I170172562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100454543"],"corresponding_institution_ids":["https://openalex.org/I170172562"],"apc_list":null,"apc_paid":null,"fwci":0.8494,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70443028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"19","issue":"4","first_page":"2593","last_page":"2615"},"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":0.9970999956130981,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9837999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.6939799189567566},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.5086151361465454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38669922947883606},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.379523903131485},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.37518900632858276},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.3248904347419739},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1584443747997284},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08949550986289978}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6939799189567566},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.5086151361465454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38669922947883606},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.379523903131485},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37518900632858276},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.3248904347419739},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1584443747997284},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08949550986289978},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/18724981251324188","is_oa":true,"landing_page_url":"https://doi.org/10.1177/18724981251324188","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251324188","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":{"id":"doi:10.1177/18724981251324188","is_oa":true,"landing_page_url":"https://doi.org/10.1177/18724981251324188","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251324188","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W403081907","https://openalex.org/W1980120482","https://openalex.org/W1980853758","https://openalex.org/W2052162052","https://openalex.org/W2068588832","https://openalex.org/W2138002711","https://openalex.org/W2162945380","https://openalex.org/W2552644346","https://openalex.org/W2559148811","https://openalex.org/W2774791859","https://openalex.org/W2793702125","https://openalex.org/W2796854462","https://openalex.org/W2890169947","https://openalex.org/W2908542802","https://openalex.org/W2921685382","https://openalex.org/W2925319488","https://openalex.org/W2944851425","https://openalex.org/W2964199361","https://openalex.org/W2968677983","https://openalex.org/W3097159520","https://openalex.org/W3106310637","https://openalex.org/W3114628019","https://openalex.org/W3122086316","https://openalex.org/W3200200677","https://openalex.org/W3200598119","https://openalex.org/W3213381145","https://openalex.org/W3215882661","https://openalex.org/W4205642372","https://openalex.org/W4206244879","https://openalex.org/W4280575326","https://openalex.org/W4281700276","https://openalex.org/W4285177192","https://openalex.org/W4293148829","https://openalex.org/W4295886013","https://openalex.org/W4312850370","https://openalex.org/W4318823140","https://openalex.org/W4320526741","https://openalex.org/W4328089490","https://openalex.org/W4378575905","https://openalex.org/W4379746093","https://openalex.org/W4385736050","https://openalex.org/W4386975266","https://openalex.org/W4387401057","https://openalex.org/W4387647817","https://openalex.org/W4389426480","https://openalex.org/W4390401501","https://openalex.org/W4390519207","https://openalex.org/W4390936546","https://openalex.org/W4391384282","https://openalex.org/W6730244221"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2330407971","https://openalex.org/W2152805146","https://openalex.org/W4387418068","https://openalex.org/W2077812314","https://openalex.org/W2091283950","https://openalex.org/W3081190093","https://openalex.org/W4281793540","https://openalex.org/W1968968467","https://openalex.org/W2358190750"],"abstract_inverted_index":{"Energy":[0],"generation,":[1],"which":[2,99,151],"promotes":[3],"a":[4,76,229,236],"nation's":[5],"economic":[6],"stability":[7],"and":[8,29,36,46,58,137,181,208,214,226,251],"advancement,":[9],"is":[10,248],"one":[11],"of":[12,17,50,65,95,110,115,149,201,204],"the":[13,81,88,104,108,123,145,153,164,193],"most":[14],"significant":[15,24],"facets":[16],"modern":[18],"society.":[19],"Recent":[20],"years":[21],"have":[22],"seen":[23],"advancements":[25],"in":[26,33,43,102,156,258],"energy":[27,44,60],"conversion":[28],"storage":[30,45],"technology,":[31],"particularly":[32],"mobile":[34],"gadgets":[35],"electric":[37,47,259],"vehicles.":[38,260],"Lithium-ion":[39],"batteries":[40],"are":[41,68,119],"utilized":[42],"vehicles":[48],"because":[49],"their":[51],"low":[52],"self-discharge":[53],"rates,":[54],"long":[55],"cycle":[56,117],"life,":[57],"high":[59],"density.":[61],"Therefore,":[62],"precise":[63],"evaluations":[64],"battery":[66,126,157,216,254],"conditions":[67],"necessary":[69],"for":[70,93,240,253],"safe":[71],"operation.":[72],"This":[73,186],"study":[74,188],"proposes":[75],"hybrid":[77],"model":[78,131,239],"based":[79,121],"on":[80,122,210],"Bidirectional":[82],"Gated":[83,138],"Recurrent":[84,139],"Unit":[85,140],"(Bi-GRU)":[86],"with":[87,199],"Giant":[89],"Trevally":[90],"Optimizer":[91],"(GTO)":[92],"state":[94],"health":[96,255],"(SOH)":[97],"prediction,":[98],"will":[100],"help":[101],"improving":[103],"predictive":[105],"accuracy.":[106],"In":[107],"estimation":[109],"SOH,":[111],"some":[112],"key":[113],"features":[114],"charge-discharge":[116],"characteristics":[118],"used":[120],"NASA":[124],"lithium-ion":[125],"dataset.":[127],"The":[128,243],"proposed":[129],"GTO-Bi-GRU":[130,191,222,247],"outperforms":[132,223],"Long":[133],"Short-Term":[134],"Memory":[135],"(LSTM)":[136],"(GRU)":[141],"models":[142],"by":[143,228],"incorporating":[144],"bidirectional":[146],"learning":[147],"abilities":[148],"Bi-GRU,":[150],"captures":[152],"complex":[154],"trend":[155],"degradation":[158],"more":[159],"effectively.":[160],"Meanwhile,":[161],"GTO":[162],"performs":[163],"hyperparameter":[165],"tuning":[166],"optimally,":[167],"outperforming":[168],"classical":[169],"optimization":[170,176],"techniques":[171],"such":[172],"as":[173,235],"particle":[174],"swarm":[175],"(PSO),":[177],"genetic":[178],"algorithm":[179,184],"(GA),":[180],"Cuckoo":[182],"search":[183],"(CS).":[185],"comparative":[187],"demonstrates":[189],"that":[190,221,246],"achieves":[192],"highest":[194],"prediction":[195],"accuracy":[196],"among":[197],"all":[198],"coefficients":[200],"determination":[202],"values":[203],"0.9969,":[205],"0.9917,":[206],"0.9948,":[207],"0.9882":[209],"B5,":[211],"B6,":[212],"B7,":[213],"B18":[215],"cells.":[217],"These":[218],"results":[219,244],"depict":[220],"PSO-Bi-GRU,":[224],"GA-Bi-GRU,":[225],"CS-Bi-GRU":[227],"great":[230],"margin,":[231],"hence":[232],"establishing":[233],"it":[234],"very":[237],"effective":[238],"SOH":[241],"estimation.":[242],"prove":[245],"robust":[249],"enough":[250],"scalable":[252],"monitoring":[256],"applications":[257]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
