{"id":"https://openalex.org/W4289716615","doi":"https://doi.org/10.1109/tvt.2022.3196113","title":"A Novel Model Predictive Control Based Co-Optimization Strategy for Velocity Planning and Energy Management of Intelligent PHEVs","display_name":"A Novel Model Predictive Control Based Co-Optimization Strategy for Velocity Planning and Energy Management of Intelligent PHEVs","publication_year":2022,"publication_date":"2022-08-03","ids":{"openalex":"https://openalex.org/W4289716615","doi":"https://doi.org/10.1109/tvt.2022.3196113"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2022.3196113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3196113","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular 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/A5100449653","display_name":"Yuanjian Zhang","orcid":"https://orcid.org/0000-0001-5563-8480"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuanjian Zhang","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5563-8480","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100750920","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0002-1634-7231"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-1634-7231","affiliations":[{"raw_affiliation_string":"Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108049333","display_name":"Guang Li","orcid":"https://orcid.org/0000-0001-9323-5076"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guang Li","raw_affiliation_strings":["School of Engineering and Materials Science, Queen Mary University of London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9323-5076","affiliations":[{"raw_affiliation_string":"School of Engineering and Materials Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016453498","display_name":"Yonggang Liu","orcid":"https://orcid.org/0000-0001-9768-328X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggang Liu","raw_affiliation_strings":["State Key Laboratory of Mechanical Transmissions &amp; School of Automotive Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-9768-328X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Transmissions &amp; School of Automotive Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003126186","display_name":"Yanjun Huang","orcid":"https://orcid.org/0000-0003-3133-8031"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjun Huang","raw_affiliation_strings":["School of Automotive Studies, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3133-8031","affiliations":[{"raw_affiliation_string":"School of Automotive Studies, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4631,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88894178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"71","issue":"12","first_page":"12667","last_page":"12681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10524","display_name":"Traffic control and management","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9983999729156494,"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":0.998199999332428,"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/model-predictive-control","display_name":"Model predictive control","score":0.7700166702270508},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.5844419002532959},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.5758062601089478},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.5300699472427368},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5201466679573059},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.48991912603378296},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4621904790401459},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4322269856929779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43192532658576965},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4242151379585266},{"id":"https://openalex.org/keywords/real-time-control-system","display_name":"Real-time Control System","score":0.410045325756073},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.38749974966049194},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38633108139038086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1442006230354309}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7700166702270508},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.5844419002532959},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.5758062601089478},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.5300699472427368},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5201466679573059},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.48991912603378296},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4621904790401459},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4322269856929779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43192532658576965},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4242151379585266},{"id":"https://openalex.org/C118974865","wikidata":"https://www.wikidata.org/wiki/Q7300773","display_name":"Real-time Control System","level":3,"score":0.410045325756073},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.38749974966049194},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38633108139038086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1442006230354309},{"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/tvt.2022.3196113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3196113","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G7500776246","display_name":null,"funder_award_id":"52172400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1966233337","https://openalex.org/W1968719911","https://openalex.org/W2008039411","https://openalex.org/W2077644369","https://openalex.org/W2082542916","https://openalex.org/W2100411291","https://openalex.org/W2152374007","https://openalex.org/W2225088368","https://openalex.org/W2290883490","https://openalex.org/W2344953599","https://openalex.org/W2364981588","https://openalex.org/W2421791228","https://openalex.org/W2427495159","https://openalex.org/W2563229634","https://openalex.org/W2563933698","https://openalex.org/W2586826839","https://openalex.org/W2754317561","https://openalex.org/W2772423517","https://openalex.org/W2778363563","https://openalex.org/W2781038188","https://openalex.org/W2784092749","https://openalex.org/W2785248992","https://openalex.org/W2789986657","https://openalex.org/W2790928508","https://openalex.org/W2792919579","https://openalex.org/W2795051817","https://openalex.org/W2888976149","https://openalex.org/W2896402664","https://openalex.org/W2897663470","https://openalex.org/W2898863663","https://openalex.org/W2898988942","https://openalex.org/W2900489907","https://openalex.org/W2909728234","https://openalex.org/W2935913115","https://openalex.org/W2952366389","https://openalex.org/W2955535572","https://openalex.org/W2964635057","https://openalex.org/W2970569119","https://openalex.org/W2996270654","https://openalex.org/W3008350097","https://openalex.org/W3016964231","https://openalex.org/W3019345598","https://openalex.org/W3203455329","https://openalex.org/W4230466265","https://openalex.org/W6707652180","https://openalex.org/W6802378030"],"related_works":["https://openalex.org/W2080896647","https://openalex.org/W2025587901","https://openalex.org/W2028217664","https://openalex.org/W2158000646","https://openalex.org/W2886734572","https://openalex.org/W1852236601","https://openalex.org/W2003264037","https://openalex.org/W3011628374","https://openalex.org/W4390571837","https://openalex.org/W3081715668"],"abstract_inverted_index":{"Facilitated":[0],"by":[1],"the":[2,36,63,84,89,96,114,124,128],"advanced":[3],"abilities":[4],"in":[5,20,32,67,133,142],"environment":[6],"sensing":[7],"and":[8,39,102,138],"integrated":[9],"communication,":[10],"intelligent":[11],"plug-in":[12],"hybrid":[13],"electric":[14],"vehicles":[15,110],"(IPHEVs)":[16],"enable":[17],"massive":[18],"autonomy":[19],"decision-making.":[21],"The":[22,71,92,120],"evolution":[23],"towards":[24],"intelligence":[25],"imposes":[26],"stringent":[27],"demand":[28],"on":[29,99],"optimal":[30,130,136],"control":[31,53,56,86,131],"IPHEVs,":[33],"of":[34,105,127],"which":[35],"velocity":[37,94,137],"planning":[38,135],"energy":[40],"management":[41],"is":[42,58,79,111],"strongly":[43],"coupled.":[44],"To":[45],"address":[46],"this":[47],"issue,":[48],"a":[49],"novel":[50],"model":[51],"predictive":[52],"(MPC)":[54],"based":[55],"strategy":[57,132],"designed":[59],"for":[60],"IPHEV":[61],"with":[62],"dramatically":[64],"improved":[65],"ability":[66],"real":[68,143],"time":[69],"implementation.":[70],"inexact":[72],"Kantorovich":[73],"sequential":[74],"quadratic":[75],"programming":[76],"(iKSQP)":[77],"method":[78],"exploited":[80],"to":[81,108],"efficiently":[82],"solve":[83],"cooperative":[85],"problem":[87],"within":[88],"receding":[90],"horizon.":[91],"reference":[93],"involving":[95],"detailed":[97],"description":[98],"future":[100],"driving":[101],"careful":[103],"consideration":[104],"safe":[106],"distance":[107],"forward":[109],"obtained":[112],"via":[113],"microcosmic":[115],"traffic":[116],"flow":[117],"analysis":[118],"(MTFA).":[119],"simulation":[121],"results":[122],"manifest":[123],"superior":[125],"performance":[126],"raised":[129],"cooperatively":[134],"managing":[139],"power":[140],"allocation":[141],"time.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
