{"id":"https://openalex.org/W3091642566","doi":"https://doi.org/10.1109/ccta41146.2020.9206307","title":"Predictive Kinetic Energy Management for Large Electric Vehicles using Radar Information","display_name":"Predictive Kinetic Energy Management for Large Electric Vehicles using Radar Information","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3091642566","doi":"https://doi.org/10.1109/ccta41146.2020.9206307","mag":"3091642566"},"language":"en","primary_location":{"id":"doi:10.1109/ccta41146.2020.9206307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta41146.2020.9206307","pdf_url":null,"source":{"id":"https://openalex.org/S4306498667","display_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","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/A5002703315","display_name":"DoHyun Daniel Yoon","orcid":"https://orcid.org/0000-0003-2626-6483"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"DoHyun Daniel Yoon","raw_affiliation_strings":["Department of Automotive Engineering, Clemson University, Greenville, SC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Clemson University, Greenville, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061351240","display_name":"Beshah Ayalew","orcid":"https://orcid.org/0000-0002-3759-3271"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beshah Ayalew","raw_affiliation_strings":["Department of Automotive Engineering, Clemson University, Greenville, SC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Clemson University, Greenville, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018819513","display_name":"Andrej Ivan\u010do","orcid":"https://orcid.org/0000-0001-5118-0820"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrej Ivanco","raw_affiliation_strings":["Allison Transmisstion Inc., Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Allison Transmisstion Inc., Indianapolis, IN, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070931994","display_name":"Yanchen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanchen Chen","raw_affiliation_strings":["Department of Automotive Engineering, Clemson University, Greenville, SC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Clemson University, Greenville, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002703315"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":1.0219,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70376569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9990000128746033,"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":0.9990000128746033,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6744189262390137},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6139833927154541},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5810052156448364},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5778838992118835},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5760934948921204},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5639225840568542},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5041927099227905},{"id":"https://openalex.org/keywords/powertrain","display_name":"Powertrain","score":0.4772048890590668},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.47360968589782715},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.44631773233413696},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.41299504041671753},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4105778634548187},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.40224260091781616},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3496858477592468},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.334489643573761},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20635908842086792},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.18566730618476868},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18222832679748535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12324488162994385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744189262390137},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6139833927154541},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5810052156448364},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5778838992118835},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5760934948921204},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5639225840568542},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5041927099227905},{"id":"https://openalex.org/C76047896","wikidata":"https://www.wikidata.org/wiki/Q1786258","display_name":"Powertrain","level":3,"score":0.4772048890590668},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.47360968589782715},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.44631773233413696},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.41299504041671753},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4105778634548187},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.40224260091781616},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3496858477592468},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.334489643573761},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20635908842086792},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.18566730618476868},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18222832679748535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12324488162994385},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta41146.2020.9206307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta41146.2020.9206307","pdf_url":null,"source":{"id":"https://openalex.org/S4306498667","display_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W822974666","https://openalex.org/W1506660872","https://openalex.org/W1525264566","https://openalex.org/W1965455100","https://openalex.org/W1988994102","https://openalex.org/W1989116181","https://openalex.org/W2044494131","https://openalex.org/W2049615944","https://openalex.org/W2054161704","https://openalex.org/W2126382259","https://openalex.org/W2132920968","https://openalex.org/W2157525649","https://openalex.org/W2258169456","https://openalex.org/W2565438304","https://openalex.org/W2806906430","https://openalex.org/W2963069783"],"related_works":["https://openalex.org/W2360794504","https://openalex.org/W2356035581","https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W2069654098","https://openalex.org/W3097253201","https://openalex.org/W2020902837","https://openalex.org/W2042058853","https://openalex.org/W2135044039","https://openalex.org/W2772971464"],"abstract_inverted_index":{"Predictive":[0],"or":[1],"look-ahead":[2],"strategies":[3],"that":[4,60,102],"attempt":[5],"to":[6,79],"incorporate":[7],"upcoming":[8],"environmental":[9],"(e.g.":[10,17],"road":[11],"topography,":[12],"visibility)":[13],"and":[14,50,97,136,149],"traffic":[15,22],"state":[16],"preceding":[18],"vehicles,":[19],"speed":[20],"limits,":[21],"signal":[23],"state/schedule)":[24],"information":[25],"for":[26,69,109],"the":[27,42,84,87,93,98,110,124,129,140,146],"purposes":[28],"of":[29,39,83,126,151],"optimizing":[30],"vehicular":[31],"energy":[32,56,106],"consumption":[33],"have":[34],"been":[35],"attracting":[36],"a":[37,52,70],"lot":[38],"attention":[40],"in":[41,123,133],"past":[43],"decade.":[44],"In":[45],"this":[46],"work,":[47],"we":[48],"propose":[49],"evaluate":[51],"radar-based":[53],"predictive":[54,95],"kinetic":[55],"management":[57],"(PKEM)":[58],"scheme":[59,112],"is":[61],"applicable":[62],"as":[63],"an":[64],"add-on":[65],"driver":[66,152],"assistance":[67],"module":[68],"large":[71],"electric":[72],"vehicle.":[73],"This":[74],"paper":[75],"details":[76],"our":[77],"approach":[78],"modeling":[80],"each":[81],"subsystem":[82],"framework":[85],"including":[86],"interacting":[88],"multiple":[89],"model":[90,94],"radar":[91],"filter,":[92],"controller,":[96],"powertrain.":[99],"We":[100],"found":[101],"there":[103],"are":[104,137],"clear":[105],"saving":[107],"benefits":[108,120],"PKEM":[111],"with":[113],"minimal":[114],"compromises":[115],"on":[116,139],"travel":[117],"time.":[118],"These":[119],"can":[121],"be":[122],"order":[125],"10-12%":[127],"over":[128],"baseline":[130],"driver-only":[131],"case":[132],"urban":[134],"environments":[135],"negligible":[138],"highway":[141],"cycle.":[142],"Results":[143],"included":[144],"demonstrate":[145],"potential":[147],"trade-offs":[148],"accommodations":[150],"desired":[153],"inputs.":[154]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}