{"id":"https://openalex.org/W4413694265","doi":"https://doi.org/10.1186/s42162-025-00556-y","title":"Leveraging deep transfer learning and adaptive power models for enhanced charging time prediction in electric vehicles","display_name":"Leveraging deep transfer learning and adaptive power models for enhanced charging time prediction in electric vehicles","publication_year":2025,"publication_date":"2025-08-26","ids":{"openalex":"https://openalex.org/W4413694265","doi":"https://doi.org/10.1186/s42162-025-00556-y"},"language":"en","primary_location":{"id":"doi:10.1186/s42162-025-00556-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-025-00556-y","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00556-y","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00556-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119440291","display_name":"Godavari Tanmayi","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Godavari Tanmayi","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078772039","display_name":"R. Radha","orcid":"https://orcid.org/0000-0002-4819-8648"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Radha","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096739576","display_name":"Uppuluri Venkata Sai Varshitha","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Uppuluri Venkata Sai Varshitha","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113404120","display_name":"P. Anandha Prakash","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Anandha Prakash","raw_affiliation_strings":["School of Electrical Engineering, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5119440291"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24408231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9998000264167786,"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/T11249","display_name":"Wireless Power Transfer Systems","score":0.9980999827384949,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.6177398562431335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.529474139213562},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4966347813606262},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4646531939506531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4456275403499603},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12977027893066406}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6177398562431335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.529474139213562},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4966347813606262},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4646531939506531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4456275403499603},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12977027893066406},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s42162-025-00556-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-025-00556-y","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00556-y","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:da5eb4c50c174dc4bb1cdd0bdb5cf439","is_oa":true,"landing_page_url":"https://doaj.org/article/da5eb4c50c174dc4bb1cdd0bdb5cf439","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Energy Informatics, Vol 8, Iss 1, Pp 1-33 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s42162-025-00556-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-025-00556-y","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00556-y","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413694265.pdf","grobid_xml":"https://content.openalex.org/works/W4413694265.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1973950538","https://openalex.org/W1980716429","https://openalex.org/W2079271089","https://openalex.org/W2080829704","https://openalex.org/W2095396063","https://openalex.org/W2139323304","https://openalex.org/W2140609118","https://openalex.org/W2179713099","https://openalex.org/W2586934430","https://openalex.org/W2605418983","https://openalex.org/W2605995529","https://openalex.org/W2765139338","https://openalex.org/W2773340786","https://openalex.org/W2940739594","https://openalex.org/W2952624574","https://openalex.org/W2958529631","https://openalex.org/W2971407673","https://openalex.org/W2997388847","https://openalex.org/W3023939840","https://openalex.org/W3036894724","https://openalex.org/W3098507037","https://openalex.org/W3177412735","https://openalex.org/W3189940786","https://openalex.org/W4200157427","https://openalex.org/W4210512964","https://openalex.org/W4281697404","https://openalex.org/W4312937018","https://openalex.org/W4318823422","https://openalex.org/W4327500306","https://openalex.org/W4361765595","https://openalex.org/W4361791569","https://openalex.org/W4376627308","https://openalex.org/W4386764648","https://openalex.org/W4389688089","https://openalex.org/W4393257520","https://openalex.org/W4394013752","https://openalex.org/W4396767012","https://openalex.org/W4399453129","https://openalex.org/W4400485950","https://openalex.org/W4400770874","https://openalex.org/W4401368547","https://openalex.org/W4402991117"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W4285208911"],"abstract_inverted_index":{"The":[0,89,210],"proliferation":[1],"of":[2,11,67,121,125,130,188,194,212],"electric":[3,234],"vehicles":[4],"(EVs)":[5],"requires":[6],"accurate":[7],"and":[8,18,38,47,70,101,112,127,146,183,192,203,229],"context-aware":[9],"forecasting":[10],"charging":[12,72,167,190],"times":[13,191],"to":[14,79,206],"maximize":[15],"user":[16],"satisfaction":[17],"optimize":[19,80],"energy":[20],"resource":[21],"planning.":[22,209],"Existing":[23],"predictive":[24],"models,":[25],"however,":[26],"sometimes":[27],"ignore":[28],"dynamic":[29,165],"elements":[30],"including":[31,97,143,177],"battery":[32,157],"health":[33],"degradation,":[34],"ambient":[35,184],"temperature":[36],"variations,":[37],"charger":[39,181],"variability":[40],"by":[41,105,153],"depending":[42,173],"just":[43],"on":[44,174],"static":[45],"statistics":[46],"simple":[48],"heuristics.":[49],"This":[50],"work":[51],"presents":[52],"a":[53,81,117,128,150,164,201],"robust":[54],"artificial":[55],"intelligence-based":[56],"system":[57],"integrating":[58],"data-driven":[59],"modelling":[60],"with":[61,217],"computer":[62],"vision":[63],"for":[64,85,224],"automatic":[65],"recognition":[66,216],"EV":[68,87,207],"models":[69,142],"adaptive":[71],"time":[73,168],"estimate.":[74],"Multi-angle":[75],"visual":[76],"data":[77,114,133],"helps":[78],"refined":[82],"ResNet50":[83,138],"architecture":[84],"strong":[86,222],"classification.":[88],"model":[90,139],"guarantees":[91],"consistent":[92],"performance":[93],"under":[94],"real-world":[95],"conditions":[96],"occlusion,":[98],"lighting":[99],"variation,":[100],"non-standard":[102],"viewing":[103],"angles":[104],"using":[106],"transfer":[107],"learning,":[108],"residual":[109],"feature":[110],"propagation,":[111],"extensive":[113],"augmentation.":[115],"With":[116],"top-1":[118],"classification":[119],"accuracy":[120],"96%,":[122,126],"an":[123],"F1-score":[124],"recall":[129],"95%,":[131],"experimental":[132],"show":[134],"that":[135,170],"the":[136],"proposed":[137],"beats":[140],"conventional":[141],"VGG16,":[144],"VGG19,":[145],"YOLOv8.":[147],"Following":[148],"recognition,":[149],"module":[151],"driven":[152],"metadata":[154],"retrieves":[155],"important":[156],"properties.":[158],"These":[159],"are":[160],"then":[161],"fed":[162],"into":[163],"power-flow-based":[166],"calculator":[169],"modulates":[171],"predictions":[172],"real-time":[175,218],"criteria":[176],"state-of-":[178],"charge":[179],"(SoC),":[180],"rating,":[182],"conditions.":[185],"Through":[186],"reduction":[187],"idle":[189],"improvement":[193],"user-level":[195],"decision-making,":[196],"this":[197],"combined":[198],"approach":[199],"offers":[200],"scalable":[202],"intelligent":[204],"answer":[205],"infrastructure":[208],"integration":[211],"deep":[213],"learning-based":[214],"image":[215],"parameterized":[219],"analytics":[220],"demonstrates":[221],"potential":[223],"advancing":[225],"smart":[226],"transportation":[227],"systems":[228],"enabling":[230],"more":[231],"adaptive,":[232],"personalized":[233],"mobility":[235],"experiences.":[236]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}