{"id":"https://openalex.org/W2481589040","doi":"https://doi.org/10.1145/2908961.2930948","title":"Intelligent On-Line Energy Management System for Plug-in Hybrid Electric Vehicles based on Evolutionary Algorithm","display_name":"Intelligent On-Line Energy Management System for Plug-in Hybrid Electric Vehicles based on Evolutionary Algorithm","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2481589040","doi":"https://doi.org/10.1145/2908961.2930948","mag":"2481589040"},"language":"en","primary_location":{"id":"doi:10.1145/2908961.2930948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2930948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049539929","display_name":"Xuewei Qi","orcid":"https://orcid.org/0000-0002-7695-2281"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuewei Qi","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077257353","display_name":"Matthew Barth","orcid":"https://orcid.org/0000-0002-4735-5859"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Barth","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006183071","display_name":"Guoyuan Wu","orcid":"https://orcid.org/0000-0001-6707-6366"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoyuan Wu","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026317556","display_name":"Kanok Boriboonsomsin","orcid":"https://orcid.org/0000-0003-2558-5343"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kanok Boriboonsomsin","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.8132,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62620661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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":0.9980000257492065,"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/energy-management","display_name":"Energy management","score":0.7324151992797852},{"id":"https://openalex.org/keywords/powertrain","display_name":"Powertrain","score":0.732230007648468},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.6436782479286194},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.6163356900215149},{"id":"https://openalex.org/keywords/energy-management-system","display_name":"Energy management system","score":0.594519317150116},{"id":"https://openalex.org/keywords/propulsion","display_name":"Propulsion","score":0.553286075592041},{"id":"https://openalex.org/keywords/plug-in","display_name":"Plug-in","score":0.5465840697288513},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.5405577421188354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5261799097061157},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.5162546634674072},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.42142534255981445},{"id":"https://openalex.org/keywords/hybrid-vehicle","display_name":"Hybrid vehicle","score":0.41789495944976807},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.41638386249542236},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3528587222099304},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.33247971534729004},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.30695515871047974},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.16083261370658875},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.07060575485229492}],"concepts":[{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.7324151992797852},{"id":"https://openalex.org/C76047896","wikidata":"https://www.wikidata.org/wiki/Q1786258","display_name":"Powertrain","level":3,"score":0.732230007648468},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.6436782479286194},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6163356900215149},{"id":"https://openalex.org/C2781260460","wikidata":"https://www.wikidata.org/wiki/Q6139999","display_name":"Energy management system","level":4,"score":0.594519317150116},{"id":"https://openalex.org/C1034443","wikidata":"https://www.wikidata.org/wiki/Q2583685","display_name":"Propulsion","level":2,"score":0.553286075592041},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.5465840697288513},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.5405577421188354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5261799097061157},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.5162546634674072},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.42142534255981445},{"id":"https://openalex.org/C516807790","wikidata":"https://www.wikidata.org/wiki/Q193075","display_name":"Hybrid vehicle","level":3,"score":0.41789495944976807},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.41638386249542236},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3528587222099304},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.33247971534729004},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.30695515871047974},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.16083261370658875},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.07060575485229492},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace 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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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:10.1145/2908961.2930948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2930948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1486657591"],"related_works":["https://openalex.org/W3130755679","https://openalex.org/W153618972","https://openalex.org/W2537633214","https://openalex.org/W2942689731","https://openalex.org/W2318719484","https://openalex.org/W2556225603","https://openalex.org/W2125570616","https://openalex.org/W1972392463","https://openalex.org/W2162365590","https://openalex.org/W3005889045"],"abstract_inverted_index":{"Energy":[0],"management":[1,156],"system":[2,95,118,157],"(EMS)":[3],"is":[4,119,133],"crucial":[5],"to":[6,36,99,103,122],"a":[7,28,37,55,61,68],"plug-in":[8],"hybrid":[9,29],"electric":[10],"vehicle":[11],"(PHEV)":[12],"in":[13,27,34,125,130],"reducing":[14],"its":[15],"fuel":[16,80],"consumption":[17],"and":[18,146],"pollutant":[19],"emissions.":[20],"The":[21],"EMS":[22,66,106],"determines":[23],"how":[24],"energy":[25,155],"flows":[26],"powertrain":[30],"should":[31],"be":[32],"managed":[33],"response":[35],"variety":[38],"of":[39,45],"driving":[40],"conditions.":[41],"In":[42],"the":[43,48,79,84,116,123],"development":[44],"an":[46],"EMS,":[47],"battery":[49],"state-of-charge":[50],"(SOC)":[51],"control":[52,71,110],"strategy":[53,72],"plays":[54],"critical":[56],"role.":[57],"This":[58],"paper":[59],"proposes":[60],"novel":[62],"evolutionary":[63],"algorithm":[64,151],"(EA)-based":[65],"with":[67,107,158],"self-adaptive":[69,159],"SOC":[70,109,160],"for":[73,135],"PHEVs,":[74],"which":[75,132],"can":[76,96],"significantly":[77],"improve":[78],"efficiency":[81],"without":[82],"knowing":[83],"trip":[85],"length":[86],"(in":[87],"time).":[88],"Numerical":[89],"studies":[90],"show":[91],"that":[92,115],"this":[93],"proposed":[94,117],"save":[97],"up":[98],"13%":[100],"fuel,":[101],"compared":[102],"other":[104],"on-line":[105,136,153],"different":[108],"strategies.":[111],"Further":[112],"analysis":[113],"indicates":[114],"less":[120],"sensitive":[121],"errors":[124],"predicting":[126],"propulsion":[127],"power":[128],"demand":[129],"real-time,":[131],"favorable":[134],"implementation.":[137],"Original":[138],"publication:":[139],"X.":[140],"Qi,":[141],"G.":[142],"Wu,":[143],"K.":[144],"Boriboonsomsin":[145],"M.":[147],"J.":[148],"Barth,":[149],"Evolutionary":[150],"based":[152],"PHEV":[154],"control,":[161],"Intelligent":[162],"Vehicles":[163],"Symposium":[164],"(IV),":[165],"2015":[166],"IEEE,":[167],"Seoul,":[168],"2015,":[169],"pp.":[170],"425--430.":[171]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
