{"id":"https://openalex.org/W7134887548","doi":"https://doi.org/10.1016/j.engappai.2026.114449","title":"Enabling online maximum driving range prognostics in electric vehicles via uncertain event likelihood functions","display_name":"Enabling online maximum driving range prognostics in electric vehicles via uncertain event likelihood functions","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134887548","doi":"https://doi.org/10.1016/j.engappai.2026.114449"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2026.114449","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114449","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.engappai.2026.114449","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063092962","display_name":"Jorge E. Garc\u00eda-Bustos","orcid":"https://orcid.org/0009-0007-0473-393X"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Jorge E. Garc\u00eda Bustos","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile"],"raw_orcid":"https://orcid.org/0009-0007-0473-393X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093954456","display_name":"Benjam\u00edn Brito Schiele","orcid":"https://orcid.org/0009-0007-6522-8662"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Benjamin Brito Schiele","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile"],"raw_orcid":"https://orcid.org/0009-0007-6522-8662","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093954457","display_name":"Bruno Masserano","orcid":"https://orcid.org/0009-0006-4768-1730"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Bruno Masserano","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile"],"raw_orcid":"https://orcid.org/0009-0006-4768-1730","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116652549","display_name":"Ricardo Salas-Espi\u00f1eira","orcid":null},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Ricardo Salas-Espi\u00f1eira","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile"],"raw_orcid":"https://orcid.org/0009-0008-5387-8876","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049816271","display_name":"Diego Troncoso-Kurtovic","orcid":"https://orcid.org/0000-0002-2417-9135"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Diego Troncoso-Kurtovic","raw_affiliation_strings":["Center for Sustainable Acceleration of Electromobility, Faculty of Physical and Mathematical Sciences, University of Chile, Av. Beauchef 851, Santiago, Chile"],"raw_orcid":"https://orcid.org/0000-0002-2417-9135","affiliations":[{"raw_affiliation_string":"Center for Sustainable Acceleration of Electromobility, Faculty of Physical and Mathematical Sciences, University of Chile, Av. Beauchef 851, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090319294","display_name":"David E. Acu\u00f1a-Ureta","orcid":"https://orcid.org/0000-0001-9958-2351"},"institutions":[{"id":"https://openalex.org/I162148367","display_name":"Pontificia Universidad Cat\u00f3lica de Chile","ror":"https://ror.org/04teye511","country_code":"CL","type":"education","lineage":["https://openalex.org/I162148367"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"David E. Acu\u00f1a-Ureta","raw_affiliation_strings":["Department of Mechanical and Metallurgical Engineering, School of Engineering, Pontificia Universidad Cat\u00f3lica de Chile, Av. Vicu\u00f1a Mackenna 4860, Santiago, Chile"],"raw_orcid":"https://orcid.org/0000-0001-9958-2351","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Metallurgical Engineering, School of Engineering, Pontificia Universidad Cat\u00f3lica de Chile, Av. Vicu\u00f1a Mackenna 4860, Santiago, Chile","institution_ids":["https://openalex.org/I162148367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128791822","display_name":"Francisco Jaramillo-Montoya","orcid":null},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Francisco Jaramillo-Montoya","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035859358","display_name":"Marcos E. Orchard","orcid":"https://orcid.org/0000-0003-4778-2719"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Marcos E. Orchard","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile"],"raw_orcid":"https://orcid.org/0000-0003-4778-2719","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074503710","display_name":"Jorge F. Silva","orcid":"https://orcid.org/0000-0002-0256-282X"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Jorge F. Silva","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av.Tupper 2007, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065183579","display_name":"A. P\u00e9rez","orcid":"https://orcid.org/0000-0002-6783-2659"},"institutions":[{"id":"https://openalex.org/I31944674","display_name":"Universidad de Costa Rica","ror":"https://ror.org/02yzgww51","country_code":"CR","type":"education","lineage":["https://openalex.org/I31944674"]},{"id":"https://openalex.org/I4210100744","display_name":"Business University of Costa Rica","ror":"https://ror.org/0145cvg83","country_code":"CR","type":"education","lineage":["https://openalex.org/I4210100744"]},{"id":"https://openalex.org/I4210139509","display_name":"Universidad Libre de Costa Rica","ror":"https://ror.org/03q0gmx50","country_code":"CR","type":"education","lineage":["https://openalex.org/I4210139509"]}],"countries":["CR"],"is_corresponding":false,"raw_author_name":"Aramis Perez","raw_affiliation_strings":["The School of Electrical Engineering, University of Costa Rica, San Jos\u00e9, Costa Rica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Electrical Engineering, University of Costa Rica, San Jos\u00e9, Costa Rica","institution_ids":["https://openalex.org/I4210100744","https://openalex.org/I31944674","https://openalex.org/I4210139509"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5063092962"],"corresponding_institution_ids":["https://openalex.org/I69737025"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":{"value":3170,"currency":"USD","value_usd":3170},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45163769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"173","issue":null,"first_page":"114449","last_page":"114449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.5297999978065491,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.5297999978065491,"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":0.1404000073671341,"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/T12095","display_name":"Vehicle emissions and performance","score":0.11219999939203262,"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/scalability","display_name":"Scalability","score":0.5709999799728394},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5626999735832214},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5412999987602234},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4754999876022339},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.44530001282691956},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.41830000281333923},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.39730000495910645},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.37450000643730164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8604999780654907},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5709999799728394},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5412999987602234},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39430001378059387},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.37450000643730164},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31049999594688416},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.3028999865055084},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.28200000524520874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27480000257492065},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2026.114449","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114449","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.engappai.2026.114449","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114449","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9051498174667358,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1017717733","display_name":null,"funder_award_id":"1250036","funder_id":"https://openalex.org/F4320338073","funder_display_name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico"},{"id":"https://openalex.org/G3055421152","display_name":null,"funder_award_id":"322-C1-467","funder_id":"https://openalex.org/F4320323217","funder_display_name":"Universidad de Costa Rica"},{"id":"https://openalex.org/G3651879886","display_name":null,"funder_award_id":"N62909-22-1-2056","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4630207220","display_name":null,"funder_award_id":"AFB240002","funder_id":"https://openalex.org/F4320338073","funder_display_name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico"},{"id":"https://openalex.org/G5195489888","display_name":null,"funder_award_id":"FONDECYT1250036","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G8455632276","display_name":null,"funder_award_id":"11231148","funder_id":"https://openalex.org/F4320338073","funder_display_name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320323217","display_name":"Universidad de Costa Rica","ror":"https://ror.org/02yzgww51"},{"id":"https://openalex.org/F4320331146","display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338073","display_name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico","ror":"https://ror.org/02ap3w078"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1988117495","https://openalex.org/W2612210564","https://openalex.org/W2761411298","https://openalex.org/W3007757282","https://openalex.org/W3047714077","https://openalex.org/W3097033018","https://openalex.org/W3097982226","https://openalex.org/W3106802455","https://openalex.org/W3164534842","https://openalex.org/W3202719922","https://openalex.org/W3207642814","https://openalex.org/W4226199023","https://openalex.org/W4285678266","https://openalex.org/W4287958166","https://openalex.org/W4301595207","https://openalex.org/W4315778533","https://openalex.org/W4367555289","https://openalex.org/W4382318823","https://openalex.org/W4385489554","https://openalex.org/W4388819982","https://openalex.org/W4392302903","https://openalex.org/W4392794125","https://openalex.org/W4393934590","https://openalex.org/W4406063146","https://openalex.org/W4407597688"],"related_works":[],"abstract_inverted_index":{"The":[0,78],"increasing":[1],"adoption":[2],"of":[3,92],"electric":[4],"vehicles":[5],"(EVs)":[6],"demands":[7],"accurate":[8],"methodologies":[9,169],"for":[10,32,65,110,119,193],"predicting":[11],"their":[12,36],"maximum":[13],"driving":[14,67],"range":[15,68],"(MDR)":[16],"under":[17],"dynamic":[18],"and":[19,84,113,132,137,183,190,196,205],"uncertain":[20],"operating":[21],"conditions.":[22],"Monte":[23],"Carlo":[24],"simulations":[25,151],"(MCs)":[26],"serve":[27],"as":[28,103],"a":[29,52,104,114,188],"fundamental":[30],"tool":[31,192],"MDR":[33],"prognostics.":[34],"However,":[35],"enormous":[37],"computational":[38,72,154],"cost":[39],"makes":[40],"real-time":[41,66,198],"implementation":[42],"impractical.":[43],"In":[44],"order":[45],"to":[46,88,149],"address":[47],"this":[48],"challenge,":[49],"we":[50],"propose":[51],"novel":[53],"framework":[54,80],"that":[55,142],"replaces":[56],"MC-based":[57],"methods":[58],"with":[59,170],"Uncertain":[60],"Event":[61],"Likelihood":[62],"Functions":[63],"(UELFs)":[64],"prognostics,":[69],"significantly":[70],"reducing":[71,153],"overhead":[73],"while":[74,152],"maintaining":[75],"predictive":[76],"accuracy.":[77],"UELF":[79],"leverages":[81],"probabilistic":[82],"modeling":[83],"efficient":[85,191],"numerical":[86],"solutions":[87],"predict":[89],"the":[90,143,177],"likelihood":[91],"end-of-power":[93],"availability":[94],"events,":[95],"complemented":[96],"by":[97,156],"machine":[98],"learning":[99],"(ML)":[100],"models":[101,124,182],"such":[102],"stochastic":[105],"dropout-based":[106],"Gated":[107],"Recurrent":[108],"Unit":[109],"vehicle":[111],"speed":[112],"Light":[115],"Gradient":[116],"Boosting":[117],"Machine":[118],"energy":[120,203],"consumption":[121],"prediction.":[122],"These":[123],"are":[125],"trained":[126],"on":[127],"data":[128],"from":[129],"various":[130],"geographic":[131],"environmental":[133],"conditions,":[134],"ensuring":[135],"generalization":[136],"robustness.":[138],"Test":[139],"results":[140],"confirm":[141],"UELF-based":[144],"approach":[145],"achieves":[146],"accuracy":[147],"comparable":[148],"MC":[150],"time":[155],"over":[157],"99":[158],"%,":[159],"enabling":[160],"seamless":[161],"integration":[162],"into":[163],"online":[164],"applications.":[165],"Combining":[166],"state-of-the-art":[167],"ML":[168],"advanced":[171],"uncertainty":[172],"quantification":[173],"strategies":[174],"successfully":[175],"bridges":[176],"gap":[178],"between":[179],"abstract":[180],"mathematical":[181],"practical":[184],"engineering":[185],"solutions,":[186],"offering":[187],"scalable":[189],"advancing":[194],"electromobility":[195],"supporting":[197],"decision-making":[199],"algorithms":[200],"in":[201],"EV":[202],"management":[204],"route":[206],"planning.":[207]},"counts_by_year":[],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2026-03-12T00:00:00"}