{"id":"https://openalex.org/W4388726849","doi":"https://doi.org/10.1109/iecon51785.2023.10311941","title":"A Spatio-Temporal Simulation Model for Electric Vehicle Charging Demands Considering User and Battery Behaviors","display_name":"A Spatio-Temporal Simulation Model for Electric Vehicle Charging Demands Considering User and Battery Behaviors","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4388726849","doi":"https://doi.org/10.1109/iecon51785.2023.10311941"},"language":"en","primary_location":{"id":"doi:10.1109/iecon51785.2023.10311941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10311941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-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/A5103200620","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0002-0408-8818"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Chen","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,Guangzhou,China","Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026042389","display_name":"Shaofeng Lu","orcid":"https://orcid.org/0000-0001-5361-2463"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofeng Lu","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,Guangzhou,China","Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026266318","display_name":"Yiwen Huang","orcid":"https://orcid.org/0000-0002-5534-2353"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Huang","raw_affiliation_strings":["School of Internet of Things Engineering, Jiangnan University,Wuxi,China","School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069763025","display_name":"Bing Han","orcid":"https://orcid.org/0000-0002-5957-4098"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Han","raw_affiliation_strings":["Xi'an Jiaotong-Liverpool University,Department of Electrical and Electronic,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong-Liverpool University,Department of Electrical and Electronic,Suzhou,China","institution_ids":["https://openalex.org/I69356397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103200620"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.2674,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55365989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":1.0,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9991999864578247,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9988999962806702,"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/electric-vehicle","display_name":"Electric vehicle","score":0.7001068592071533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6415552496910095},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.608649730682373},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.604760468006134},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.5655339956283569},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.5499836206436157},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.49913573265075684},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4478349983692169},{"id":"https://openalex.org/keywords/battery-capacity","display_name":"Battery capacity","score":0.42456620931625366},{"id":"https://openalex.org/keywords/charging-station","display_name":"Charging station","score":0.41634005308151245},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4063546061515808},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1926220953464508},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.17862862348556519},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.14097866415977478}],"concepts":[{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.7001068592071533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6415552496910095},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.608649730682373},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.604760468006134},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.5655339956283569},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.5499836206436157},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.49913573265075684},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4478349983692169},{"id":"https://openalex.org/C2989104859","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery capacity","level":4,"score":0.42456620931625366},{"id":"https://openalex.org/C2779607880","wikidata":"https://www.wikidata.org/wiki/Q2140665","display_name":"Charging station","level":4,"score":0.41634005308151245},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4063546061515808},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1926220953464508},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.17862862348556519},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.14097866415977478},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon51785.2023.10311941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10311941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W187022023","https://openalex.org/W2799727164","https://openalex.org/W3014380129","https://openalex.org/W3039922070","https://openalex.org/W3107779832","https://openalex.org/W3131047059","https://openalex.org/W3196178504","https://openalex.org/W3210252678","https://openalex.org/W3213237349","https://openalex.org/W4205325124","https://openalex.org/W4220721463","https://openalex.org/W4235074646","https://openalex.org/W4311964487"],"related_works":["https://openalex.org/W2981497404","https://openalex.org/W2362149433","https://openalex.org/W4308964873","https://openalex.org/W4378211444","https://openalex.org/W2768611900","https://openalex.org/W2156399915","https://openalex.org/W2084958424","https://openalex.org/W2986711310","https://openalex.org/W3203839526","https://openalex.org/W2729780499"],"abstract_inverted_index":{"Accurate":[0],"spatio-temporal":[1,109],"estimation":[2],"of":[3,16,22,60,82,111,118,126],"electric":[4],"vehicle":[5,70],"(EV)":[6],"charging":[7,17,38,50,85,104,112,153],"demands":[8,51],"is":[9,86,98],"crucial":[10],"for":[11,48],"the":[12,53,58,80,89,102,108,123,127,132,136,152],"operation":[13],"and":[14,26,28,31,65,106,131,147],"construction":[15],"networks.":[18],"The":[19],"complex":[20],"behaviors":[21],"EV":[23,49],"users":[24],"(travel":[25],"charging)":[27,32],"batteries":[29],"(discharge":[30],"have":[33],"a":[34,43,115],"significant":[35],"impact":[36],"on":[37,75],"demands.":[39,113],"This":[40],"study":[41,117],"proposes":[42],"bottom-up":[44],"simulation":[45,124],"model":[46,130],"(STEP-TV)":[47],"with":[52],"Monte":[54],"Carlo":[55],"method,":[56],"considering":[57],"influence":[59],"user":[61,145],"behavior,":[62],"ambient":[63,148],"temperature,":[64],"road":[66],"congestion.":[67],"1)":[68],"Firstly,":[69],"trajectories":[71],"are":[72],"simulated":[73],"based":[74],"multi-source":[76],"data;":[77],"2)":[78],"Secondly,":[79],"probability":[81],"users'":[83],"destination":[84],"obtained":[87],"using":[88],"Bayes":[90],"formula;":[91],"3)":[92],"Finally,":[93],"an":[94],"open-source":[95],"tool,":[96],"PyChargeModel,":[97],"introduced":[99],"to":[100],"simulate":[101],"non-uniform":[103],"process":[105],"obtain":[107],"distribution":[110],"In":[114],"case":[116],"Sioux":[119],"Falls,":[120],"we":[121],"compared":[122],"results":[125],"proposed":[128],"STEP-TV":[129],"EVI-Pro":[133],"developed":[134],"by":[135],"National":[137],"Renewable":[138],"Energy":[139],"Laboratory":[140],"(NREL).":[141],"We":[142],"found":[143],"that":[144],"behavior":[146],"temperature":[149],"significantly":[150],"impacted":[151],"demand":[154],"estimation.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}