{"id":"https://openalex.org/W4392607804","doi":"https://doi.org/10.1109/tvt.2024.3373906","title":"Multi-Agent Deep Reinforcement Learning-Based Multi-Objective Cooperative Control Strategy for Hybrid Electric Vehicles","display_name":"Multi-Agent Deep Reinforcement Learning-Based Multi-Objective Cooperative Control Strategy for Hybrid Electric Vehicles","publication_year":2024,"publication_date":"2024-03-08","ids":{"openalex":"https://openalex.org/W4392607804","doi":"https://doi.org/10.1109/tvt.2024.3373906"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3373906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3373906","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/A5082250218","display_name":"Jiongpeng Gan","orcid":"https://orcid.org/0009-0007-3287-7201"},"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":true,"raw_author_name":"Jiongpeng Gan","raw_affiliation_strings":["College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107117626","display_name":"Shen Li","orcid":"https://orcid.org/0000-0002-7111-8861"},"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":"Shen Li","raw_affiliation_strings":["Department of Civil Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077446544","display_name":"Xianke Lin","orcid":"https://orcid.org/0000-0001-5695-248X"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xianke Lin","raw_affiliation_strings":["Department of Mechanical Engineering, University of Ontario Institute of Technology, Oshawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Ontario Institute of Technology, Oshawa, ON, Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077232157","display_name":"Xiaolin Tang","orcid":"https://orcid.org/0000-0001-5709-291X"},"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":"Xiaolin Tang","raw_affiliation_strings":["College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082250218"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":5.8456,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.96712961,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"73","issue":"8","first_page":"11123","last_page":"11135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9932000041007996,"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":0.9932000041007996,"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":0.9882000088691711,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9449999928474426,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8078066110610962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4752000570297241},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.45403289794921875},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.40791693329811096},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3694308400154114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3170204162597656}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8078066110610962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4752000570297241},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.45403289794921875},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.40791693329811096},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3694308400154114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3170204162597656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2024.3373906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3373906","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":[],"awards":[{"id":"https://openalex.org/G550538802","display_name":null,"funder_award_id":"52222215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7642845445","display_name":null,"funder_award_id":"52072051","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2769605893","https://openalex.org/W2903982586","https://openalex.org/W2904025397","https://openalex.org/W2904986356","https://openalex.org/W2968117400","https://openalex.org/W2981524015","https://openalex.org/W3004886093","https://openalex.org/W3012099766","https://openalex.org/W3012547353","https://openalex.org/W3081715668","https://openalex.org/W3083928685","https://openalex.org/W3115002398","https://openalex.org/W3130537699","https://openalex.org/W3134389734","https://openalex.org/W3135196694","https://openalex.org/W3135839877","https://openalex.org/W3160253672","https://openalex.org/W3170823878","https://openalex.org/W3189728166","https://openalex.org/W3191448315","https://openalex.org/W3197248161","https://openalex.org/W3197437737","https://openalex.org/W3204343880","https://openalex.org/W3215576994","https://openalex.org/W4205815563","https://openalex.org/W4285272860","https://openalex.org/W4312222142","https://openalex.org/W4312422471","https://openalex.org/W4315778349","https://openalex.org/W4366957357","https://openalex.org/W4384519037","https://openalex.org/W6738796088"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2964765435","https://openalex.org/W4391331176"],"abstract_inverted_index":{"The":[0,118],"progress":[1],"of":[2,10,23,34,71,74],"artificial":[3],"intelligence":[4],"(AI)":[5],"technology":[6],"promotes":[7],"the":[8,21,46,69,72,75,81,122,136],"development":[9],"energy":[11,64],"management":[12],"research":[13],"for":[14,54,110,115],"hybrid":[15,63],"electric":[16],"vehicles":[17],"(HEV).":[18],"To":[19],"explore":[20],"application":[22],"multi-agent":[24,47],"deep":[25,48],"reinforcement":[26],"learning":[27],"(DRL)":[28],"algorithm":[29,53],"in":[30,104],"multi-objective":[31,40,124,139],"cooperative":[32,41,116,125,132,140],"control":[33,42,85,97,113,126,141],"HEVs,":[35],"this":[36],"article":[37],"proposes":[38],"a":[39,55,62,130],"strategy":[43,86,91,127],"based":[44,99],"on":[45,100],"deterministic":[49],"policy":[50],"gradient":[51],"(MADDPG)":[52],"four-wheel":[56],"drive":[57],"(4WD)":[58],"HEV":[59,77,96],"equipped":[60],"with":[61],"storage":[65],"system":[66],"(HESS).":[67],"Firstly,":[68],"parameters":[70],"HESS":[73,88],"4WD":[76],"are":[78,92,108],"matched.":[79],"Secondly,":[80],"DRL-based":[82],"regenerative":[83],"braking":[84],"and":[87],"power":[89],"distribution":[90],"designed.":[93],"Thirdly,":[94],"an":[95],"method":[98],"MADDPG":[101],"is":[102],"proposed,":[103],"which":[105],"different":[106,112],"agents":[107],"used":[109],"training":[111],"strategies":[114],"control.":[117],"results":[119],"show":[120],"that":[121],"MADDPG-based":[123],"can":[128],"achieve":[129],"better":[131],"optimization":[133],"effect":[134],"than":[135],"single-agent":[137],"DDPG-based":[138],"strategy.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
