{"id":"https://openalex.org/W2885574648","doi":"https://doi.org/10.23919/acc.2018.8431050","title":"A Comparative Assessment of Economic Model Predictive Control Strategies for Fuel Economy Optimization of Heavy-Duty Trucks","display_name":"A Comparative Assessment of Economic Model Predictive Control Strategies for Fuel Economy Optimization of Heavy-Duty Trucks","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2885574648","doi":"https://doi.org/10.23919/acc.2018.8431050","mag":"2885574648"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2018.8431050","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8431050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1557256","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023600888","display_name":"Ben Groelke","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ben Groelke","raw_affiliation_strings":["University of North Carolina, Charlotte"],"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036057399","display_name":"John Borek","orcid":"https://orcid.org/0000-0002-5392-0906"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Borek","raw_affiliation_strings":["University of North Carolina, Charlotte"],"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066064997","display_name":"Christian Earnhardt","orcid":"https://orcid.org/0000-0002-7603-7702"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian Earnhardt","raw_affiliation_strings":["University of North Carolina, Charlotte"],"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402491","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-3184-1887"},"institutions":[{"id":"https://openalex.org/I1340210623","display_name":"Volvo (Sweden)","ror":"https://ror.org/05b6ypc36","country_code":"SE","type":"company","lineage":["https://openalex.org/I1340210623"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["Volvo Group Trucks"],"affiliations":[{"raw_affiliation_string":"Volvo Group Trucks","institution_ids":["https://openalex.org/I1340210623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017982498","display_name":"Stephen Geyer","orcid":null},"institutions":[{"id":"https://openalex.org/I1340210623","display_name":"Volvo (Sweden)","ror":"https://ror.org/05b6ypc36","country_code":"SE","type":"company","lineage":["https://openalex.org/I1340210623"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Stephen Geyer","raw_affiliation_strings":["Volvo Group Trucks"],"affiliations":[{"raw_affiliation_string":"Volvo Group Trucks","institution_ids":["https://openalex.org/I1340210623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112578306","display_name":"Chris Vermillion","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Vermillion","raw_affiliation_strings":["Department of Mechanical Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023600888"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":1.6456,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.84886013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"834","last_page":"839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9995999932289124,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9995999932289124,"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/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10117","display_name":"Advanced Combustion Engine Technologies","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.9246119856834412},{"id":"https://openalex.org/keywords/heavy-duty","display_name":"Heavy duty","score":0.685453474521637},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6023660898208618},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4983353614807129},{"id":"https://openalex.org/keywords/duty","display_name":"Duty","score":0.4925151765346527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4255513846874237},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3726499080657959},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2480950653553009},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.0725322961807251}],"concepts":[{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.9246119856834412},{"id":"https://openalex.org/C2993573757","wikidata":"https://www.wikidata.org/wiki/Q3784054","display_name":"Heavy duty","level":2,"score":0.685453474521637},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6023660898208618},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4983353614807129},{"id":"https://openalex.org/C2779103253","wikidata":"https://www.wikidata.org/wiki/Q878070","display_name":"Duty","level":2,"score":0.4925151765346527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4255513846874237},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3726499080657959},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2480950653553009},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0725322961807251},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/acc.2018.8431050","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8431050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1557256","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1557256","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1557256","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1557256","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1973513443","https://openalex.org/W1997595256","https://openalex.org/W2056006612","https://openalex.org/W2059317436","https://openalex.org/W2059683860","https://openalex.org/W2071726357","https://openalex.org/W2083169902","https://openalex.org/W2089177739","https://openalex.org/W2090715271","https://openalex.org/W2094311908","https://openalex.org/W2100705270","https://openalex.org/W2295894478","https://openalex.org/W2410016013","https://openalex.org/W6714000338"],"related_works":["https://openalex.org/W2362148937","https://openalex.org/W627398415","https://openalex.org/W4252019847","https://openalex.org/W4254204236","https://openalex.org/W829935278","https://openalex.org/W4210551371","https://openalex.org/W2392119071","https://openalex.org/W2350722454","https://openalex.org/W2087328555","https://openalex.org/W754166688"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2],"a":[3,12,33,48,71,80,94,100,128,152,158],"comparative":[4],"assessment":[5],"of":[6,90,107,117,133,161,172],"three":[7,123,147],"control":[8,23,179],"strategies":[9],"that":[10,74,84,98],"fuse":[11],"global,":[13],"offline":[14],"dynamic":[15],"programming":[16],"(DP)":[17],"optimization":[18],"with":[19],"online":[20,37],"model":[21,132],"predictive":[22],"(MPC)":[24],"in":[25,43,88],"an":[26],"effort":[27,87],"to":[28,47,53,151],"minimize":[29],"fuel":[30,78,91,142,174],"consumption":[31],"for":[32,122],"heavy-duty":[34,135],"truck.":[35],"The":[36,115],"MPC":[38,67],"optimization,":[39],"which":[40],"is":[41,120],"local":[42],"nature,":[44],"makes":[45],"refinements":[46],"coarsely":[49,109],"(but":[50],"globally,":[51],"subject":[52],"grid":[54],"resolution)":[55],"optimized":[56,110],"target":[57],"velocity":[58,111],"profile":[59],"from":[60],"the":[61,108,134],"DP":[62],"optimization.":[63],"Three":[64],"candidate":[65,178],"economic":[66],"formulations":[68],"are":[69],"evaluated:":[70],"time-based":[72,82],"formulation":[73,83,97],"directly":[75],"penalizes":[76,85],"predicted":[77],"consumption,":[79,92],"simplified":[81],"braking":[86,168],"place":[89],"and":[93,105,170],"distance-based":[95],"convex":[96],"maintains":[99],"tradeoff":[101],"between":[102],"energy":[103,162],"expenditure":[104],"tracking":[106],"based":[112],"on":[113],"DP.":[114],"performance":[116],"each":[118,177],"approach":[119],"presented":[121],"representative":[124],"route":[125],"profiles,":[126],"using":[127],"medium-fidelity":[129],"proprietary":[130],"Volvo":[131],"truck's":[136],"longitudinal":[137],"dynamics.":[138],"Results":[139],"demonstrate":[140],"4-7%":[141],"economy":[143],"improvement":[144],"across":[145],"all":[146],"formulations,":[148],"when":[149],"compared":[150],"baseline":[153],"strategy.":[154],"Furthermore,":[155],"we":[156],"present":[157],"detailed":[159],"analysis":[160],"usage":[163],"by":[164],"\u201ctype\u201d":[165],"(aerodynamic":[166],"losses,":[167,169],"comparison":[171],"brake-specific":[173],"consumption),":[175],"under":[176],"approach.":[180]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
