{"id":"https://openalex.org/W4388721048","doi":"https://doi.org/10.1109/iecon51785.2023.10312309","title":"Spatial-Temporal Data-Driven Speed Prediction for Energy Management of Battery/Supercapacitor Electric Vehicles","display_name":"Spatial-Temporal Data-Driven Speed Prediction for Energy Management of Battery/Supercapacitor Electric Vehicles","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4388721048","doi":"https://doi.org/10.1109/iecon51785.2023.10312309"},"language":"en","primary_location":{"id":"doi:10.1109/iecon51785.2023.10312309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10312309","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/A5051234612","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0003-2387-4766"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Wu","raw_affiliation_strings":["School of Automation, Central South University,Changsha,China","School of Automation, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010546586","display_name":"Zhiwu Huang","orcid":"https://orcid.org/0000-0002-5485-2562"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwu Huang","raw_affiliation_strings":["School of Automation, Central South University,Changsha,China","School of Automation, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080342034","display_name":"Yunhong Che","orcid":"https://orcid.org/0000-0002-7350-0001"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Yunhong Che","raw_affiliation_strings":["Aalborg University,Department of Energy Technology,Aalborg,Denmark","Department of Energy Technology, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Energy Technology,Aalborg,Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Department of Energy Technology, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010463795","display_name":"Zini Wang","orcid":"https://orcid.org/0009-0003-4438-6494"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zini Wang","raw_affiliation_strings":["School of Automation, Central South University,Changsha,China","School of Automation, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052901606","display_name":"Jun Peng","orcid":"https://orcid.org/0000-0001-6269-6929"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Peng","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051234612"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.1109,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42547655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9993000030517578,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9993000030517578,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6902976036071777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6689624190330505},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.6171314716339111},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5728044509887695},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4752632975578308},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4683228135108948},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.46665215492248535},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4557707607746124},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.43254974484443665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3257591128349304},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2798087000846863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2648945450782776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25950443744659424},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2519497275352478},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.18757760524749756},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09923112392425537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07945767045021057}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6902976036071777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6689624190330505},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6171314716339111},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5728044509887695},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4752632975578308},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4683228135108948},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.46665215492248535},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4557707607746124},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.43254974484443665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3257591128349304},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2798087000846863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2648945450782776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25950443744659424},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2519497275352478},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.18757760524749756},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09923112392425537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07945767045021057},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iecon51785.2023.10312309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10312309","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"},{"id":"pmh:oai:pure.atira.dk:publications/4bd53534-7fb8-4bef-ba1a-e368da881d8f","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/4bd53534-7fb8-4bef-ba1a-e368da881d8f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wu , Y , Huang , Z , Che , Y , Wang , Z & Peng , J 2023 , Spatial-Temporal Data-Driven Speed Prediction for Energy Management of Battery/Supercapacitor Electric Vehicles . in IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society . IEEE Computer Society Press , IECON Proceedings (Industrial Electronics Conference) , 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 , Singapore , Singapore , 16/10/2023 . https://doi.org/10.1109/IECON51785.2023.10312309","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2011818981","https://openalex.org/W2047111123","https://openalex.org/W2089277853","https://openalex.org/W2751577506","https://openalex.org/W2801088584","https://openalex.org/W2902792107","https://openalex.org/W2959029806","https://openalex.org/W2991001103","https://openalex.org/W3018254030","https://openalex.org/W3024761859","https://openalex.org/W3093286894","https://openalex.org/W3185720226","https://openalex.org/W3217675324","https://openalex.org/W4220768938","https://openalex.org/W4312983123","https://openalex.org/W4313368168"],"related_works":["https://openalex.org/W4391585328","https://openalex.org/W4318676890","https://openalex.org/W2039947585","https://openalex.org/W4385195237","https://openalex.org/W3178576217","https://openalex.org/W4285102093","https://openalex.org/W4210644201","https://openalex.org/W3111532652","https://openalex.org/W4381189085","https://openalex.org/W4401154840"],"abstract_inverted_index":{"Accurate":[0],"speed":[1,21,35,64,77,83,107],"prediction":[2,22,36,59,78,108,128,133],"plays":[3],"a":[4,18,41,49,88],"critical":[5],"role":[6],"in":[7,54],"the":[8,25,97,105,112,137,140,147],"predictive":[9,26,90,141,157],"energy":[10,27,92,142],"management":[11,28,93,143],"of":[12,29,139],"electric":[13,31],"vehicles.":[14,32],"This":[15],"paper":[16],"proposes":[17],"spatial-temporal":[19],"data-driven":[20],"method":[23,37,109],"for":[24],"battery/supercapacitor":[30],"The":[33,80,130],"proposed":[34,106],"is":[38,84],"performed":[39],"using":[40],"long":[42],"short-term":[43],"memory":[44],"network":[45],"and":[46,65,117,151],"validated":[47],"on":[48,63],"real-world":[50],"commuting":[51],"data":[52],"set":[53],"China.":[55],"Different":[56],"from":[57],"existing":[58],"methods":[60],"based":[61],"only":[62],"acceleration,":[66],"we":[67],"take":[68],"spatial":[69,126],"information":[70,127],"as":[71],"an":[72],"additional":[73],"input":[74],"to":[75,95,155],"improve":[76,136],"accuracy.":[79],"predicted":[81],"future":[82],"then":[85],"leveraged":[86],"by":[87,121],"model":[89,156],"control-based":[91],"strategy":[94],"minimize":[96],"battery":[98,148],"degradation":[99],"cost.":[100],"Quantitative":[101],"comparisons":[102],"illustrate":[103],"that":[104],"can":[110,134],"reduce":[111,146],"root":[113],"mean":[114,118],"square":[115],"error":[116,120],"absolute":[119],"10.01-19.15%":[122],"compared":[123],"with":[124,159],"no":[125],"method.":[129],"more":[131],"accurate":[132,161],"further":[135],"optimality":[138],"strategy,":[144],"i.e.,":[145],"capacity":[149],"loss":[150],"yield":[152],"closer":[153],"results":[154],"control":[158],"completely":[160],"prediction.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}