{"id":"https://openalex.org/W2895068195","doi":"https://doi.org/10.1109/tiv.2018.2873922","title":"A Unified Approach for Electric Vehicles Range Maximization via Eco-Routing, Eco-Driving, and Energy Consumption Prediction","display_name":"A Unified Approach for Electric Vehicles Range Maximization via Eco-Routing, Eco-Driving, and Energy Consumption Prediction","publication_year":2018,"publication_date":"2018-10-04","ids":{"openalex":"https://openalex.org/W2895068195","doi":"https://doi.org/10.1109/tiv.2018.2873922","mag":"2895068195"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2018.2873922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2018.2873922","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","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/A5087511381","display_name":"Laurent Thibault","orcid":"https://orcid.org/0000-0002-5994-4327"},"institutions":[{"id":"https://openalex.org/I265217849","display_name":"IFP \u00c9nergies nouvelles","ror":"https://ror.org/03gcbhc33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I265217849"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Laurent Thibault","raw_affiliation_strings":["IFP Energies nouvelles, Rueil-Malmaison, \u00c3\u017dle-de-France, FR"],"affiliations":[{"raw_affiliation_string":"IFP Energies nouvelles, Rueil-Malmaison, \u00c3\u017dle-de-France, FR","institution_ids":["https://openalex.org/I265217849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058644490","display_name":"Giovanni De Nunzio","orcid":"https://orcid.org/0000-0003-1179-8735"},"institutions":[{"id":"https://openalex.org/I265217849","display_name":"IFP \u00c9nergies nouvelles","ror":"https://ror.org/03gcbhc33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I265217849"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Giovanni De Nunzio","raw_affiliation_strings":["IFP Energies nouvelles, Rueil-Malmaison, \u00c3\u017dle-de-France, FR"],"affiliations":[{"raw_affiliation_string":"IFP Energies nouvelles, Rueil-Malmaison, \u00c3\u017dle-de-France, FR","institution_ids":["https://openalex.org/I265217849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015630350","display_name":"Antonio Sciarretta","orcid":"https://orcid.org/0000-0002-4643-0706"},"institutions":[{"id":"https://openalex.org/I265217849","display_name":"IFP \u00c9nergies nouvelles","ror":"https://ror.org/03gcbhc33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I265217849"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antonio Sciarretta","raw_affiliation_strings":["IFP Energies nouvelles, Rueil-Malmaison, \u00c3\u017dle-de-France, FR"],"affiliations":[{"raw_affiliation_string":"IFP Energies nouvelles, Rueil-Malmaison, \u00c3\u017dle-de-France, FR","institution_ids":["https://openalex.org/I265217849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087511381"],"corresponding_institution_ids":["https://openalex.org/I265217849"],"apc_list":null,"apc_paid":null,"fwci":4.1378,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.93820078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"3","issue":"4","first_page":"463","last_page":"475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","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/T12095","display_name":"Vehicle emissions and performance","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/T10698","display_name":"Transportation Planning and Optimization","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9979000091552734,"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/driving-range","display_name":"Driving range","score":0.7011310458183289},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6968684792518616},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6918262243270874},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.6352871656417847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079770922660828},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5407341718673706},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48229315876960754},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4591057300567627},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.44720378518104553},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.43344977498054504},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41561856865882874},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2577964663505554},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23743760585784912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20217373967170715},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10290929675102234}],"concepts":[{"id":"https://openalex.org/C2780847881","wikidata":"https://www.wikidata.org/wiki/Q3177122","display_name":"Driving range","level":4,"score":0.7011310458183289},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6968684792518616},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6918262243270874},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.6352871656417847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079770922660828},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5407341718673706},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48229315876960754},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4591057300567627},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.44720378518104553},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.43344977498054504},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41561856865882874},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2577964663505554},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23743760585784912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20217373967170715},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10290929675102234},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2018.2873922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2018.2873922","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G2922328357","display_name":null,"funder_award_id":"653288","funder_id":"https://openalex.org/F4320338345","funder_display_name":"H2020 Transport"}],"funders":[{"id":"https://openalex.org/F4320338345","display_name":"H2020 Transport","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W87126067","https://openalex.org/W119169328","https://openalex.org/W1547827494","https://openalex.org/W1578998574","https://openalex.org/W1965374708","https://openalex.org/W1970844320","https://openalex.org/W1973263126","https://openalex.org/W1978090048","https://openalex.org/W1984656914","https://openalex.org/W1993074639","https://openalex.org/W1993371203","https://openalex.org/W1997188340","https://openalex.org/W1997822129","https://openalex.org/W2001600328","https://openalex.org/W2007572870","https://openalex.org/W2015117378","https://openalex.org/W2030955809","https://openalex.org/W2033472041","https://openalex.org/W2051821221","https://openalex.org/W2051905298","https://openalex.org/W2053219134","https://openalex.org/W2059317436","https://openalex.org/W2079755609","https://openalex.org/W2083743691","https://openalex.org/W2087796458","https://openalex.org/W2093273258","https://openalex.org/W2094311908","https://openalex.org/W2118577580","https://openalex.org/W2153015072","https://openalex.org/W2162343222","https://openalex.org/W2227557434","https://openalex.org/W2562751078","https://openalex.org/W2742003289","https://openalex.org/W2794429068","https://openalex.org/W4235093618","https://openalex.org/W4297981016","https://openalex.org/W4300011629","https://openalex.org/W6632856477"],"related_works":["https://openalex.org/W1972670369","https://openalex.org/W3033740292","https://openalex.org/W2068616146","https://openalex.org/W2106488883","https://openalex.org/W2039014988","https://openalex.org/W2742003289","https://openalex.org/W1492168837","https://openalex.org/W4220915212","https://openalex.org/W4327545682","https://openalex.org/W4393285088"],"abstract_inverted_index":{"Driving":[0],"range":[1,82,171],"is":[2,70,83,90,136,154,215],"one":[3,31],"of":[4,12,28,60,78,110,127,132,181,212],"the":[5,9,29,45,57,64,73,79,94,101,108,111,116,120,128,133,142,163,173,207,210,219,233],"main":[6],"obstacles":[7],"to":[8,17,22,41,53,92,140,162,201,218,232],"wide":[10],"diffusion":[11],"electric":[13,134],"vehicles.":[14],"In":[15],"order":[16,139],"overcome":[18],"it":[19],"without":[20],"needing":[21],"increase":[23,42],"battery":[24],"size":[25],"and":[26,43,55,85,119,172,246],"price":[27],"vehicle,":[30],"promising":[32,228],"solution":[33],"consists":[34],"in":[35,114,138,236,241,247],"leveraging":[36],"advanced":[37],"driver":[38,220],"assistance":[39],"systems":[40],"master":[44],"driving":[46,81,170],"range.":[47],"This":[48],"paper":[49],"proposes":[50],"model-based":[51],"strategies":[52,97,214],"predict":[54],"optimize":[56],"energy":[58,67,129,165,169,239],"consumption":[59,130,166],"a":[61,75,157,182,190,222],"trip.":[62],"Before":[63],"trip,":[65],"an":[66,86,194,243],"efficient":[68,244],"route":[69,175],"suggested.":[71],"During":[72],"trip":[74],"precise":[76],"prediction":[77],"current":[80],"provided,":[84],"optimal":[87,174,184],"speed":[88],"profile":[89],"computed":[91],"advise":[93],"driver.":[95],"These":[96],"take":[98],"into":[99],"account":[100],"specific":[102],"vehicle":[103,117,135,238],"parameters,":[104],"as":[105,107,156,230],"well":[106],"topology":[109],"road":[112,152],"network":[113,153,197],"which":[115],"operates,":[118],"real-time":[121,144,203],"traffic":[122],"conditions.":[123],"A":[124],"macroscopic":[125],"version":[126],"model":[131],"presented":[137],"use":[141],"aggregated":[143],"data":[145],"available":[146],"on":[147],"typical":[148],"maps":[149],"web-services.":[150],"The":[151,168],"modeled":[155],"weighted":[158],"directed":[159],"graph":[160],"adapted":[161],"proposed":[164],"model.":[167],"are":[176],"finally":[177,216],"obtained":[178],"by":[179],"means":[180],"suitable":[183],"path":[185],"search":[186],"algorithm.":[187],"For":[188],"eco-driving,":[189],"different":[191],"approach":[192],"using":[193],"artificial":[195],"neural":[196],"has":[198],"been":[199],"chosen":[200],"enable":[202],"implementation.":[204],"As":[205],"for":[206],"human-machine":[208],"interface,":[209],"output":[211],"these":[213],"suggested":[217],"via":[221],"smartphone":[223],"application.":[224],"Experimental":[225],"results":[226],"show":[227],"gains":[229],"compared":[231],"existing":[234],"approaches":[235],"predicting":[237],"consumption,":[240],"suggesting":[242],"route,":[245],"providing":[248],"eco-driving":[249],"assistance.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}
