{"id":"https://openalex.org/W2149819550","doi":"https://doi.org/10.1109/acc.2009.5160623","title":"Power management of plug-in hybrid electric vehicles using neural network based trip modeling","display_name":"Power management of plug-in hybrid electric vehicles using neural network based trip modeling","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2149819550","doi":"https://doi.org/10.1109/acc.2009.5160623","mag":"2149819550"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2009.5160623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2009.5160623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 American Control Conference","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/A5100991404","display_name":"Qiuming Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qiuming Gong","raw_affiliation_strings":["University of Wisconsin, Milwaukee, Milwaukee, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Milwaukee, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019848729","display_name":"Yaoyu Li","orcid":"https://orcid.org/0000-0001-5025-0313"},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaoyu Li","raw_affiliation_strings":["University of Wisconsin, Milwaukee, Milwaukee, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Milwaukee, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069439577","display_name":"Zhong\u2010Ren Peng","orcid":"https://orcid.org/0000-0003-3648-6770"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongren Peng","raw_affiliation_strings":["University of Florida at Gainesville, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida at Gainesville, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100991404"],"corresponding_institution_ids":["https://openalex.org/I43579087"],"apc_list":null,"apc_paid":null,"fwci":3.5889,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.93126395,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4601","last_page":"4606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9986000061035156,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5750271677970886},{"id":"https://openalex.org/keywords/plug-in","display_name":"Plug-in","score":0.5390194654464722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5375195741653442},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.4717455804347992},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.442050039768219},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4412882924079895},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.427407443523407},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.42351600527763367},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.42319101095199585},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.42122769355773926},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3364962637424469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12968972325325012},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.093056321144104}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5750271677970886},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.5390194654464722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5375195741653442},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.4717455804347992},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.442050039768219},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4412882924079895},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.427407443523407},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.42351600527763367},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.42319101095199585},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.42122769355773926},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3364962637424469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12968972325325012},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.093056321144104},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2009.5160623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2009.5160623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.800000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W57686026","https://openalex.org/W1493271556","https://openalex.org/W1495870701","https://openalex.org/W1534470046","https://openalex.org/W1584565853","https://openalex.org/W1605560759","https://openalex.org/W1914578456","https://openalex.org/W1966796972","https://openalex.org/W1984851913","https://openalex.org/W2006699595","https://openalex.org/W2009395876","https://openalex.org/W2029515813","https://openalex.org/W2037915806","https://openalex.org/W2040113501","https://openalex.org/W2059173545","https://openalex.org/W2068014733","https://openalex.org/W2077179818","https://openalex.org/W2085816393","https://openalex.org/W2098432798","https://openalex.org/W2114915621","https://openalex.org/W2115583576","https://openalex.org/W2116507007","https://openalex.org/W2118020677","https://openalex.org/W2134278108","https://openalex.org/W2135827142","https://openalex.org/W2139165901","https://openalex.org/W2150323660","https://openalex.org/W2158658492","https://openalex.org/W2163339363","https://openalex.org/W2167300323","https://openalex.org/W2168234067","https://openalex.org/W2211393311","https://openalex.org/W2305373430","https://openalex.org/W2326606714","https://openalex.org/W2892115290","https://openalex.org/W6634945304","https://openalex.org/W6640002351"],"related_works":["https://openalex.org/W2981957539","https://openalex.org/W4287378204","https://openalex.org/W47352601","https://openalex.org/W2545422590","https://openalex.org/W4240705470","https://openalex.org/W2945311252","https://openalex.org/W631546281","https://openalex.org/W4206501676","https://openalex.org/W2266220644","https://openalex.org/W88292646"],"abstract_inverted_index":{"The":[0,106,120,158,172,197],"plug-in":[1],"hybrid":[2],"electric":[3],"vehicles":[4],"(PHEV),":[5],"utilizing":[6],"more":[7],"battery":[8],"power,":[9],"has":[10,31],"become":[11],"a":[12,39,72,78,140],"next-generation":[13],"HEV":[14],"with":[15,62,127],"great":[16],"promise":[17],"of":[18,42,52,169,199],"higher":[19],"fuel":[20,195,206],"economy.":[21,196],"Global":[22],"optimization":[23,54],"charge-depletion":[24,82],"power":[25,86],"management":[26],"would":[27],"be":[28,132],"desirable.":[29],"This":[30],"so":[32],"far":[33],"been":[34],"hampered":[35],"due":[36],"to":[37,131],"the":[38,43,47,63,113,149,153,165,170,177,187,194,200,205],"priori":[40],"nature":[41],"trip":[44,114,144,179,188],"information":[45],"and":[46,96,101,167,191],"almost":[48],"prohibitive":[49],"computational":[50],"cost":[51],"global":[53],"techniques":[55],"such":[56],"as":[57,77],"dynamic":[58,74],"programming":[59,75],"(DP).":[60],"Combined":[61],"Intelligent":[64],"Transportation":[65],"Systems":[66],"(ITS),":[67],"our":[68,117],"previous":[69,118],"work":[70],"developed":[71,147],"two-scale":[73],"approach":[76],"nearly":[79],"globally":[80],"optimized":[81],"strategy":[83],"for":[84,112,135,148,164],"PHEV":[85],"management.":[87],"Trip":[88],"model":[89,109,126,145,180],"is":[90],"obtained":[91,178],"via":[92],"GPS,":[93],"GIS,":[94],"real-time":[95],"historical":[97],"traffic":[98,103],"flow":[99,104],"data":[100,155,161],"advanced":[102],"modeling.":[105],"Gas-kinetic":[107],"based":[108,125,143],"was":[110,146,162],"used":[111,163],"modeling":[115,189],"in":[116],"study.":[119],"complicated":[121],"partial":[122],"deferential":[123],"equation":[124],"several":[128],"parameters":[129],"needs":[130],"calibrated":[133],"had":[134],"implementation.":[136],"In":[137],"this":[138],"paper,":[139],"neural":[141,182],"network":[142,183],"highway":[150],"portion,":[151],"using":[152,181],"given":[154],"from":[156],"WisTransPortal.":[157],"real":[159],"test":[160],"training":[166],"validation":[168],"network.":[171],"simulation":[173],"results":[174],"show":[175],"that":[176],"can":[184],"greatly":[185],"improve":[186,193],"accuracy,":[190],"thus":[192],"potential":[198],"advantages":[201],"were":[202],"indicated":[203],"by":[204],"economy":[207],"comparison.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}