{"id":"https://openalex.org/W4388721171","doi":"https://doi.org/10.1109/iecon51785.2023.10311916","title":"Multi-Objective Predictive Energy Management Strategy for Heavy-Duty Fuel Cell Trucks Based on Dynamic Weighting Factors","display_name":"Multi-Objective Predictive Energy Management Strategy for Heavy-Duty Fuel Cell Trucks Based on Dynamic Weighting Factors","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4388721171","doi":"https://doi.org/10.1109/iecon51785.2023.10311916"},"language":"en","primary_location":{"id":"doi:10.1109/iecon51785.2023.10311916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10311916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","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/A5065810124","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-1518-2527"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Yang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063655079","display_name":"Xuekun Xie","orcid":"https://orcid.org/0009-0001-5804-6306"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuekun Xie","raw_affiliation_strings":["Xinxiang Aviation Industry Group Co., Ltd,Xin Xiang,China","Xinxiang Aviation Industry Group Co., Ltd, Xin Xiang, China"],"affiliations":[{"raw_affiliation_string":"Xinxiang Aviation Industry Group Co., Ltd,Xin Xiang,China","institution_ids":[]},{"raw_affiliation_string":"Xinxiang Aviation Industry Group Co., Ltd, Xin Xiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069052618","display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0003-0336-577X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["Research &#x0026; Development Institute of Northwestern Polytechnical University in Shenzhen,Shen Zhen,China"],"affiliations":[{"raw_affiliation_string":"Research &#x0026; Development Institute of Northwestern Polytechnical University in Shenzhen,Shen Zhen,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427316","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0002-2296-4498"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076186372","display_name":"Wentao Jiang","orcid":"https://orcid.org/0000-0001-6361-0656"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Jiang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061567924","display_name":"Yansiqi Guo","orcid":"https://orcid.org/0009-0004-3956-875X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansiqi Guo","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5065810124"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.4379,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61946586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9997000098228455,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6263679265975952},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5934380888938904},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.5889256000518799},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.5869578123092651},{"id":"https://openalex.org/keywords/driving-cycle","display_name":"Driving cycle","score":0.5764479041099548},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.5247124433517456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5188214182853699},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.5131402611732483},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4909358322620392},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.43466025590896606},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4339161217212677},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.4271019697189331},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.33641940355300903},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2510685920715332},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.21233665943145752},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.17198503017425537}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6263679265975952},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5934380888938904},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.5889256000518799},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.5869578123092651},{"id":"https://openalex.org/C169042556","wikidata":"https://www.wikidata.org/wiki/Q16246150","display_name":"Driving cycle","level":4,"score":0.5764479041099548},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.5247124433517456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188214182853699},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.5131402611732483},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4909358322620392},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.43466025590896606},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4339161217212677},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.4271019697189331},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.33641940355300903},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2510685920715332},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.21233665943145752},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.17198503017425537},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon51785.2023.10311916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10311916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G1586766099","display_name":null,"funder_award_id":"52207247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4183613019","display_name":null,"funder_award_id":"2022M712677","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7204195435","display_name":null,"funder_award_id":"2022JQ-498","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2004899107","https://openalex.org/W2900289599","https://openalex.org/W2930939328","https://openalex.org/W2981524015","https://openalex.org/W2989832664","https://openalex.org/W2999896566","https://openalex.org/W3004201898","https://openalex.org/W3024495263","https://openalex.org/W3110735867","https://openalex.org/W3118679523","https://openalex.org/W3132360879","https://openalex.org/W4282943110","https://openalex.org/W4300011629"],"related_works":["https://openalex.org/W3023908086","https://openalex.org/W3006361955","https://openalex.org/W3161992182","https://openalex.org/W2900266557","https://openalex.org/W3113289758","https://openalex.org/W2057603251","https://openalex.org/W2808463094","https://openalex.org/W2047960132","https://openalex.org/W2107486489","https://openalex.org/W3114874629"],"abstract_inverted_index":{"As":[0],"the":[1,10,33,38,43,76,79,83,113,116,121,168,184,195,198,221,227],"different":[2,52,208],"driving":[3,24,53,145,192,209],"modes":[4],"have":[5],"a":[6,23,58,67,161],"great":[7],"influence":[8],"on":[9,66],"performance":[11,45],"of":[12,37,46,106,124,138,197,231],"fuel":[13,98,107,185,232],"cell":[14,99,233],"hybrid":[15,234],"electric":[16,235],"heavy":[17,236],"trucks,":[18],"it's":[19],"vital":[20],"to":[21,31,97,140,143,154],"study":[22],"mode-consensus":[25],"energy":[26,47,62],"management":[27,48,63],"strategy.":[28],"In":[29,75],"order":[30],"improve":[32,226],"economy":[34,228],"and":[35,40,104,109,127,166,183,229],"durability":[36,230],"system":[39],"further":[41],"enhance":[42],"real-time":[44],"strategy":[49,64,81,118,158,223],"(EMS)":[50],"in":[51,55,112],"conditions,":[54],"this":[56],"paper,":[57],"multi-dimension":[59],"fuzzy":[60,136],"control":[61,70],"based":[65],"model":[68],"predictive":[69],"framework":[71],"(MPC)":[72],"was":[73],"raised.":[74],"offline":[77],"phase,":[78,115],"proposed":[80,117,157,199,212,222],"selects":[82],"appropriate":[84],"parameters":[85,139],"for":[86],"each":[87],"mode":[88],"by":[89,134,172,176,181,189,203],"an":[90],"evaluation":[91],"function":[92,171],"which":[93],"give":[94],"full":[95],"consideration":[96],"hydrogen":[100,174],"consumption,":[101,103],"battery":[102,164],"degradation":[105,179,187],"cells":[108,186],"batteries.":[110],"Meanwhile,":[111],"online":[114],"dynamically":[119],"matches":[120],"weighting":[122],"coefficients":[123],"objective":[125],"functions":[126,180,188],"optimal":[128],"Markov":[129],"transfer":[130],"probability":[131],"matrix":[132],"(TPM)":[133],"multi-dimensional":[135],"optimization":[137],"better":[141,218],"adapting":[142],"changing":[144],"patterns":[146],"overtime.":[147],"The":[148,211],"simulation":[149],"results":[150],"demonstrate":[151],"that":[152],"compared":[153],"traditional":[155],"MPC-EMS":[156],"can":[159,224],"maintains":[160],"more":[162],"stable":[163],"SoC":[165],"reduce":[167],"total":[169],"consumption":[170,175],"8.75%,":[173],"22.65%,":[177],"batteries":[178],"6.56%":[182],"47.22%":[190],"under":[191,206,214],"cycle1.":[193],"Moreover,":[194],"robustness":[196],"method":[200,213],"is":[201],"verified":[202],"testing":[204],"it":[205],"two":[207],"cycles.":[210],"CWTVC":[215],"still":[216],"shows":[217],"performance.":[219],"Therefore,":[220],"effectively":[225],"trucks":[237],"system.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
