{"id":"https://openalex.org/W4200388803","doi":"https://doi.org/10.3390/s22010023","title":"A Predictive Energy Management Strategy for Multi-Energy Source Vehicles Based on Full-Factor Trip Information","display_name":"A Predictive Energy Management Strategy for Multi-Energy Source Vehicles Based on Full-Factor Trip Information","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4200388803","doi":"https://doi.org/10.3390/s22010023","pmid":"https://pubmed.ncbi.nlm.nih.gov/35009566"},"language":"en","primary_location":{"id":"doi:10.3390/s22010023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22010023","pdf_url":"https://www.mdpi.com/1424-8220/22/1/23/pdf?version=1640139786","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/1/23/pdf?version=1640139786","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038671540","display_name":"Fenglai Yue","orcid":"https://orcid.org/0000-0001-5473-0904"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenglai Yue","raw_affiliation_strings":["State Key Laboratory of Engines, Tianjin University, 135 Yaguan Rd., Tianjin 300350, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Engines, Tianjin University, 135 Yaguan Rd., Tianjin 300350, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104020922","display_name":"Qiao Liu","orcid":"https://orcid.org/0000-0002-3296-0220"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4392738231","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":"https://ror.org/00b67z867","country_code":null,"type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Liu","raw_affiliation_strings":["State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090388482","display_name":"Yan Kong","orcid":"https://orcid.org/0000-0001-6680-0260"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4392738231","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":"https://ror.org/00b67z867","country_code":null,"type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Kong","raw_affiliation_strings":["State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101711758","display_name":"Junhong Zhang","orcid":"https://orcid.org/0009-0009-1734-1315"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junhong Zhang","raw_affiliation_strings":["State Key Laboratory of Engines, Tianjin University, 135 Yaguan Rd., Tianjin 300350, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Engines, Tianjin University, 135 Yaguan Rd., Tianjin 300350, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003255350","display_name":"Nan Xu","orcid":"https://orcid.org/0000-0002-4154-4763"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4392738231","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":"https://ror.org/00b67z867","country_code":null,"type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Xu","raw_affiliation_strings":["State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101711758"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.4649,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.64363988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"22","issue":"1","first_page":"23","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9994999766349792,"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":0.9994999766349792,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9994000196456909,"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":0.9955999851226807,"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/model-predictive-control","display_name":"Model predictive control","score":0.6077413558959961},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5598219037055969},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5507435202598572},{"id":"https://openalex.org/keywords/driving-cycle","display_name":"Driving cycle","score":0.5245730876922607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5031477808952332},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3773995041847229},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.36510157585144043},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34413814544677734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3350333571434021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.276602566242218},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1776653528213501},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09736785292625427}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6077413558959961},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5598219037055969},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5507435202598572},{"id":"https://openalex.org/C169042556","wikidata":"https://www.wikidata.org/wiki/Q16246150","display_name":"Driving cycle","level":4,"score":0.5245730876922607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5031477808952332},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3773995041847229},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.36510157585144043},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34413814544677734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3350333571434021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.276602566242218},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1776653528213501},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09736785292625427},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s22010023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22010023","pdf_url":"https://www.mdpi.com/1424-8220/22/1/23/pdf?version=1640139786","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35009566","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35009566","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:d830f84cefd0475394ca4b8d07d46db0","is_oa":true,"landing_page_url":"https://doaj.org/article/d830f84cefd0475394ca4b8d07d46db0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 1, p 23 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/1/23/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22010023","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 1; Pages: 23","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8747610","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8747610","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22010023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22010023","pdf_url":"https://www.mdpi.com/1424-8220/22/1/23/pdf?version=1640139786","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200388803.pdf","grobid_xml":"https://content.openalex.org/works/W4200388803.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W197242792","https://openalex.org/W628583573","https://openalex.org/W1972582376","https://openalex.org/W1990488730","https://openalex.org/W2015614033","https://openalex.org/W2029490915","https://openalex.org/W2043765345","https://openalex.org/W2046796127","https://openalex.org/W2107913111","https://openalex.org/W2109764844","https://openalex.org/W2119208341","https://openalex.org/W2139732883","https://openalex.org/W2149751000","https://openalex.org/W2236204240","https://openalex.org/W2287936343","https://openalex.org/W2466636338","https://openalex.org/W2569281615","https://openalex.org/W2586226881","https://openalex.org/W2618149076","https://openalex.org/W2752686884","https://openalex.org/W2754377655","https://openalex.org/W2765945812","https://openalex.org/W2767558826","https://openalex.org/W2793435266","https://openalex.org/W2793461627","https://openalex.org/W2900489907","https://openalex.org/W2914992100","https://openalex.org/W2918206979","https://openalex.org/W2938164876","https://openalex.org/W2945978148","https://openalex.org/W3177536107","https://openalex.org/W6608007143","https://openalex.org/W6682559298"],"related_works":["https://openalex.org/W4285404670","https://openalex.org/W1556990800","https://openalex.org/W4390908260","https://openalex.org/W2952020680","https://openalex.org/W2003264037","https://openalex.org/W4390571837","https://openalex.org/W2481191189","https://openalex.org/W2377694002","https://openalex.org/W2755730896","https://openalex.org/W2120878834"],"abstract_inverted_index":{"To":[0,53],"achieve":[1],"the":[2,33,37,55,58,65,72,88,91,100,106,116,119,123,128,148,155,166,178,209,212],"real-time":[3],"application":[4],"of":[5,36,118,158,192,211],"a":[6,14,82,112,135,139],"dynamic":[7],"programming":[8],"(DP)":[9],"control":[10],"strategy,":[11],"we":[12],"propose":[13],"predictive":[15,140,149],"energy":[16,51,141],"management":[17,142],"strategy":[18,143],"(PEMS)":[19],"based":[20,63,133,146],"on":[21,64,134,147],"full-factor":[22,38,150],"trip":[23,39,151],"information,":[24],"including":[25],"vehicle":[26,59],"speed,":[27],"slip":[28,129],"ratio":[29,130],"and":[30,122,200],"slope.":[31],"Firstly,":[32],"prediction":[34,108,184],"model":[35],"information":[40,46],"is":[41,61,109,131,144,170],"proposed,":[42],"which":[43,176],"provides":[44],"an":[45,104],"basis":[47,89,117],"for":[48,90],"global":[49,174],"optimization":[50],"management.":[52],"improve":[54],"prediction's":[56],"accuracy,":[57],"speed":[60,97,121],"predicted":[62,120,132],"state":[66,180],"transition":[67],"probability":[68],"matrix":[69],"generated":[70,171],"in":[71],"same":[73],"driving":[74,92,164,193],"scene.":[75],"The":[76],"characteristic":[77],"parameters":[78],"are":[79,187],"extracted":[80],"by":[81],"feature":[83],"selection":[84],"method":[85],"taken":[86],"as":[87,111],"condition's":[93],"identification.":[94],"Similar":[95],"to":[96,154,172,207],"prediction,":[98],"regarding":[99],"uncertain":[101],"route":[102],"at":[103,182],"intersection,":[105],"slope":[107],"modelled":[110],"Markov":[113],"model.":[114],"On":[115],"identified":[124],"maximum":[125],"adhesion":[126],"coefficient,":[127],"neural":[136],"network.":[137],"Then,":[138],"developed":[145],"information.":[152],"According":[153],"statistical":[156],"rules":[157],"DP":[159],"results":[160],"under":[161,189],"multiple":[162],"standard":[163],"cycles,":[165],"reference":[167],"SOC":[168],"trajectory":[169],"ensure":[173],"sub-optimality,":[175],"determines":[177],"feasible":[179],"domain":[181],"each":[183],"horizon.":[185],"Simulations":[186],"performed":[188],"different":[190],"types":[191],"conditions":[194],"(Urban":[195],"Dynamometer":[196],"Driving":[197],"Schedule,":[198],"UDDS":[199],"World":[201],"Light":[202],"Vehicle":[203],"Test":[204],"Cycle,":[205],"WLTC)":[206],"verify":[208],"effectiveness":[210],"proposed":[213],"strategy.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
