{"id":"https://openalex.org/W2767558826","doi":"https://doi.org/10.1109/tcst.2017.2768042","title":"Optimizing the Energy Management Strategy for Plug-In Hybrid Electric Vehicles With Multiple Frequent Routes","display_name":"Optimizing the Energy Management Strategy for Plug-In Hybrid Electric Vehicles With Multiple Frequent Routes","publication_year":2017,"publication_date":"2017-11-10","ids":{"openalex":"https://openalex.org/W2767558826","doi":"https://doi.org/10.1109/tcst.2017.2768042","mag":"2767558826"},"language":"en","primary_location":{"id":"doi:10.1109/tcst.2017.2768042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2017.2768042","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","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/A5083555259","display_name":"Xiangrui Zeng","orcid":"https://orcid.org/0000-0001-5425-9219"},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangrui Zeng","raw_affiliation_strings":["Ford Motor Company, Dearborn, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100608812","display_name":"Junmin Wang","orcid":"https://orcid.org/0000-0001-7133-7311"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junmin Wang","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, USA"],"raw_orcid":"https://orcid.org/0000-0001-7133-7311","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.4801,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.84307056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"27","issue":"1","first_page":"394","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9998999834060669,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","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":0.9987000226974487,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9984999895095825,"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/energy-management","display_name":"Energy management","score":0.7011208534240723},{"id":"https://openalex.org/keywords/plug-in","display_name":"Plug-in","score":0.5823127031326294},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5497997403144836},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.5419436693191528},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5341632962226868},{"id":"https://openalex.org/keywords/energy-management-system","display_name":"Energy management system","score":0.5328645706176758},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.525020182132721},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.5047448873519897},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.49932193756103516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4806065261363983},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4384789764881134},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4228004217147827},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.37002551555633545},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3416861295700073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12082922458648682},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08533942699432373}],"concepts":[{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.7011208534240723},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.5823127031326294},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5497997403144836},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.5419436693191528},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5341632962226868},{"id":"https://openalex.org/C2781260460","wikidata":"https://www.wikidata.org/wiki/Q6139999","display_name":"Energy management system","level":4,"score":0.5328645706176758},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.525020182132721},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.5047448873519897},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.49932193756103516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4806065261363983},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4384789764881134},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4228004217147827},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.37002551555633545},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3416861295700073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12082922458648682},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08533942699432373},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcst.2017.2768042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2017.2768042","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","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":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1495870701","https://openalex.org/W1934577595","https://openalex.org/W1965085128","https://openalex.org/W1978496859","https://openalex.org/W1978917517","https://openalex.org/W1979387894","https://openalex.org/W1987990113","https://openalex.org/W2017749620","https://openalex.org/W2018725342","https://openalex.org/W2029490915","https://openalex.org/W2029515813","https://openalex.org/W2056793763","https://openalex.org/W2061346483","https://openalex.org/W2068014733","https://openalex.org/W2083706821","https://openalex.org/W2084008601","https://openalex.org/W2118412444","https://openalex.org/W2119781256","https://openalex.org/W2135137731","https://openalex.org/W2139732883","https://openalex.org/W2142809728","https://openalex.org/W2148881573","https://openalex.org/W2149751000","https://openalex.org/W2150323660","https://openalex.org/W2213842429","https://openalex.org/W2487209372","https://openalex.org/W2488481701","https://openalex.org/W2503025659","https://openalex.org/W2505040360","https://openalex.org/W2603645909","https://openalex.org/W2765504534","https://openalex.org/W6722454825"],"related_works":["https://openalex.org/W2749199243","https://openalex.org/W2333017163","https://openalex.org/W2120878834","https://openalex.org/W2133545517","https://openalex.org/W2352231626","https://openalex.org/W2964681094","https://openalex.org/W2577786578","https://openalex.org/W2150802979","https://openalex.org/W2896932934","https://openalex.org/W1984852161"],"abstract_inverted_index":{"Adapting":[0],"the":[1,30,36,41,48,77,82,104,130,159,172],"energy":[2,34,42,60,157],"management":[3],"strategy":[4,27],"(EMS)":[5],"to":[6,23,28,39,170],"a":[7,25],"specific":[8],"route":[9,49],"is":[10,20,135],"important":[11],"for":[12,69,129],"plug-in":[13],"hybrid":[14],"electric":[15],"vehicles":[16],"(PHEVs),":[17],"because":[18],"it":[19,152],"usually":[21],"preferred":[22],"apply":[24],"blended":[26],"use":[29],"electricity":[31],"and":[32,51,103,121,137],"fuel":[33],"during":[35],"whole":[37],"trip":[38,86,176],"maximize":[40],"efficiency.":[43],"Studies":[44],"show":[45,150],"that":[46,151],"both":[47],"information":[50,120],"human":[52,89],"driving":[53,90,101,123],"style":[54,91],"have":[55],"great":[56],"impact":[57],"on":[58,65,72],"vehicle":[59],"consumption.":[61],"This":[62,139],"brief":[63],"focuses":[64],"developing":[66],"an":[67,165],"EMS":[68,140],"PHEVs":[70],"running":[71],"multiple":[73],"frequent":[74],"routes,":[75],"while":[76],"controller":[78],"may":[79],"not":[80],"know":[81,171],"destination":[83,173],"of":[84,174],"each":[85,175],"beforehand.":[87],"The":[88],"influence":[92],"can":[93,113,141],"be":[94,114,142],"learned":[95],"from":[96],"his":[97],"or":[98],"her":[99],"historical":[100,122],"data,":[102],"possible":[105],"future":[106],"routes":[107],"as":[108,110],"well":[109],"their":[111],"probabilities":[112],"obtained":[115],"using":[116],"global":[117,161],"positioning":[118],"system":[119],"data.":[124],"An":[125],"optimal":[126,162],"control":[127,134],"problem":[128],"higher":[131],"level":[132],"PHEV":[133],"formulated":[136],"solved.":[138],"implemented":[143],"onboard":[144],"in":[145,164,177],"real":[146],"time.":[147],"Simulation":[148],"results":[149],"consumes":[153],"only":[154],"2.5%":[155],"more":[156],"than":[158],"posterior":[160],"result":[163],"eight-frequent-route":[166],"scenario":[167],"without":[168],"needing":[169],"advance.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}