{"id":"https://openalex.org/W2075713131","doi":"https://doi.org/10.1109/tits.2014.2387356","title":"Intelligent Hybrid Electric Vehicle ACC With Coordinated Control of Tracking Ability, Fuel Economy, and Ride Comfort","display_name":"Intelligent Hybrid Electric Vehicle ACC With Coordinated Control of Tracking Ability, Fuel Economy, and Ride Comfort","publication_year":2015,"publication_date":"2015-02-13","ids":{"openalex":"https://openalex.org/W2075713131","doi":"https://doi.org/10.1109/tits.2014.2387356","mag":"2075713131"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2014.2387356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2014.2387356","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transportation Systems","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/A5102846293","display_name":"Yugong Luo","orcid":"https://orcid.org/0009-0003-5278-0491"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yugong Luo","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708920","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0002-5174-7687"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727563","display_name":"Shuwei Zhang","orcid":"https://orcid.org/0000-0001-7479-2504"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwei Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031855986","display_name":"Keqiang Li","orcid":"https://orcid.org/0000-0002-9333-7416"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqiang Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102846293"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":8.7913,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.97666667,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"16","issue":"4","first_page":"2303","last_page":"2308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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":0.9973000288009644,"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/cruise-control","display_name":"Cruise control","score":0.7915437817573547},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6734718680381775},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.5756187438964844},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.5447618961334229},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5386208891868591},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.47249069809913635},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.470151424407959},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.4509734809398651},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4505883753299713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38110846281051636},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.30897241830825806},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.26203516125679016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08754652738571167}],"concepts":[{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.7915437817573547},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6734718680381775},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.5756187438964844},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.5447618961334229},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5386208891868591},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.47249069809913635},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.470151424407959},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.4509734809398651},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4505883753299713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38110846281051636},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.30897241830825806},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.26203516125679016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08754652738571167},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"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/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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2014.2387356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2014.2387356","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transportation Systems","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/G3831281540","display_name":null,"funder_award_id":"2010DFA72760","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1965738920","https://openalex.org/W1978956894","https://openalex.org/W2000474849","https://openalex.org/W2006073341","https://openalex.org/W2012697347","https://openalex.org/W2015066692","https://openalex.org/W2089988774","https://openalex.org/W2098450454","https://openalex.org/W2103919794","https://openalex.org/W2150135914","https://openalex.org/W2160741122","https://openalex.org/W2164089525","https://openalex.org/W2167300323","https://openalex.org/W2170973929","https://openalex.org/W6982348113","https://openalex.org/W7024873610"],"related_works":["https://openalex.org/W3016854740","https://openalex.org/W2569031414","https://openalex.org/W2684794767","https://openalex.org/W586940735","https://openalex.org/W2014284151","https://openalex.org/W2304505011","https://openalex.org/W4390457665","https://openalex.org/W1947511779","https://openalex.org/W2260259195","https://openalex.org/W304540861"],"abstract_inverted_index":{"Adaptive":[0],"cruise":[1],"control":[2,68,110,147],"(ACC)":[3],"of":[4,24,42,92],"hybrid":[5,25],"electric":[6],"vehicles":[7],"(HEVs)":[8],"has":[9],"been":[10],"traditionally":[11],"developed":[12,81],"without":[13],"an":[14,137],"efficient":[15],"integration":[16],"with":[17],"active":[18],"safety":[19,116],"and":[20,67,97,117,136,163,170],"energy":[21,57,65],"management":[22,58],"systems":[23],"power-trains,":[26],"mainly":[27],"for":[28,75,112],"facilitating":[29],"its":[30],"implementation.":[31],"This,":[32],"however,":[33],"leads":[34],"to":[35,62,124,143],"a":[36,71,98],"compromise":[37],"in":[38,82,165],"the":[39,45,56,64,90,114,118,125,145,156],"fuel":[40,119,168],"economy":[41],"HEVs,":[43],"since":[44],"predictive":[46,95],"driving":[47],"information":[48],"provided":[49],"by":[50,55],"ACC":[51,73,159],"is":[52,80,87,105,121],"not":[53],"exploited":[54],"system.":[59],"In":[60],"order":[61],"enhance":[63],"efficiency":[66],"system":[69,74],"integration,":[70],"novel":[72],"intelligent":[76],"HEVs":[77],"(i-HEV":[78],"ACC)":[79],"this":[83],"study.":[84],"The":[85],"controller":[86],"proposed":[88,157],"within":[89],"framework":[91],"nonlinear":[93,100],"model":[94,104],"control,":[96],"position-based":[99],"longitudinal":[101],"intervehicle":[102],"dynamics":[103],"developed.":[106],"A":[107,130],"coordinated":[108],"optimal":[109],"problem":[111],"both":[113],"tracking":[115],"consumption":[120],"formulated":[122],"subject":[123],"constraints":[126],"on":[127],"stable":[128],"tracking.":[129],"multistep":[131],"offline":[132],"dynamic":[133],"programming":[134],"optimization":[135],"online":[138],"lookup":[139],"table":[140],"are":[141,150],"used":[142],"implement":[144],"real-time":[146],"algorithm.":[148],"Experiments":[149],"further":[151],"conducted,":[152],"which":[153],"demonstrate":[154],"that":[155],"i-HEV":[158],"achieves":[160],"enhanced":[161],"performance":[162],"cooperation":[164],"traffic":[166],"safety,":[167],"efficiency,":[169],"ride":[171],"comfort.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}