{"id":"https://openalex.org/W4389495059","doi":"https://doi.org/10.1109/tvt.2023.3340739","title":"Meta-Learning-Based Predictive Energy Management for 4WD Battery Electric Vehicles","display_name":"Meta-Learning-Based Predictive Energy Management for 4WD Battery Electric Vehicles","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4389495059","doi":"https://doi.org/10.1109/tvt.2023.3340739"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2023.3340739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3340739","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5101753086","display_name":"Zhiyan Feng","orcid":"https://orcid.org/0000-0003-2556-0410"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyan Feng","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2556-0410","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040070409","display_name":"Du Wei","orcid":"https://orcid.org/0000-0001-9482-9714"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Du","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9482-9714","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025863705","display_name":"Chin-Boon Chng","orcid":"https://orcid.org/0000-0002-0566-6069"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chin-Boon Chng","raw_affiliation_strings":["Department of Mechanical Engineering, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0566-6069","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067394594","display_name":"Chee\u2010Kong Chui","orcid":"https://orcid.org/0000-0001-9463-4781"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chee-Kong Chui","raw_affiliation_strings":["Department of Mechanical Engineering, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9463-4781","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051877604","display_name":"Shengdun Zhao","orcid":"https://orcid.org/0000-0002-9191-9017"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengdun Zhao","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9191-9017","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101753086"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.5429,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65617276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"73","issue":"5","first_page":"6395","last_page":"6408"},"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":0.9995999932289124,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9959999918937683,"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":0.7179083228111267},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6249777674674988},{"id":"https://openalex.org/keywords/driving-cycle","display_name":"Driving cycle","score":0.6178083419799805},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.589262843132019},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5353854894638062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5191406607627869},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.43666499853134155},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.4084998071193695},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3879217505455017},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3671528398990631},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.33941805362701416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30515187978744507},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3040037453174591},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.2883187532424927},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.23481833934783936},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1344541609287262}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7179083228111267},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6249777674674988},{"id":"https://openalex.org/C169042556","wikidata":"https://www.wikidata.org/wiki/Q16246150","display_name":"Driving cycle","level":4,"score":0.6178083419799805},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.589262843132019},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5353854894638062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5191406607627869},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.43666499853134155},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4084998071193695},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3879217505455017},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3671528398990631},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.33941805362701416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30515187978744507},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3040037453174591},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.2883187532424927},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.23481833934783936},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1344541609287262},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2023.3340739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3340739","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1029979729","display_name":null,"funder_award_id":"202206280168","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G28349253","display_name":null,"funder_award_id":"U1937203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2310937270","https://openalex.org/W2345312465","https://openalex.org/W2501655773","https://openalex.org/W2507407025","https://openalex.org/W2561145466","https://openalex.org/W2566257935","https://openalex.org/W2615310526","https://openalex.org/W2618149076","https://openalex.org/W2784682362","https://openalex.org/W2789281155","https://openalex.org/W2793373436","https://openalex.org/W2902792107","https://openalex.org/W2922677020","https://openalex.org/W2935913115","https://openalex.org/W2941560784","https://openalex.org/W2951450062","https://openalex.org/W2964206659","https://openalex.org/W2994859974","https://openalex.org/W3004201898","https://openalex.org/W3014443506","https://openalex.org/W3014538851","https://openalex.org/W3026752671","https://openalex.org/W3093066807","https://openalex.org/W3094116798","https://openalex.org/W3113110972","https://openalex.org/W3127612696","https://openalex.org/W3162208406","https://openalex.org/W3177318507","https://openalex.org/W3184563094","https://openalex.org/W3191052810","https://openalex.org/W4224254046","https://openalex.org/W4287888124","https://openalex.org/W4306855880","https://openalex.org/W4309701395","https://openalex.org/W4311416700","https://openalex.org/W4312938075","https://openalex.org/W4313546765","https://openalex.org/W4313555433","https://openalex.org/W4382203435","https://openalex.org/W6752232076"],"related_works":["https://openalex.org/W4285404670","https://openalex.org/W2003264037","https://openalex.org/W2107486489","https://openalex.org/W3114874629","https://openalex.org/W1556990800","https://openalex.org/W4390908260","https://openalex.org/W2952020680","https://openalex.org/W2371083903","https://openalex.org/W4390571837","https://openalex.org/W2185691408"],"abstract_inverted_index":{"The":[0,58,121,144,169],"predictive":[1,93],"energy":[2],"management":[3],"(PEM)":[4],"of":[5,21,43,46,99,123,178],"four-wheel":[6],"drive":[7],"(4WD)":[8],"battery":[9],"electric":[10],"vehicles":[11],"(BEVs)":[12],"requires":[13],"high":[14],"accuracy":[15],"in":[16,55,130,164],"the":[17,41,91,96,104,117,124,133,150,154,174,179,186],"driving":[18,31,53,80],"information":[19,32],"forecast":[20],"velocity":[22],"and":[23,71,141,156,159],"road":[24],"gradient.":[25],"In":[26],"this":[27],"paper,":[28],"a":[29,49,83],"meta-learning-based":[30,60],"prediction":[33],"(DIP)":[34],"method":[35,62,86,127,147,182],"is":[36,63,87,101,128,183],"proposed":[37,59,88,105,125,145,180],"aiming":[38],"to":[39,65,115,132,137,190],"improve":[40],"performances":[42],"real-time":[44,142],"PEM":[45,85,109,126,146,181],"4WD-BEVs":[47],"with":[48],"dual-electric":[50],"machine":[51],"(EM)":[52],"system":[54],"each":[56,165],"wheel.":[57],"DIP":[61],"demonstrated":[64],"have":[66],"higher":[67],"accuracy,":[68,135],"better":[69,184],"robustness":[70,136],"faster":[72],"computation":[73],"speed":[74],"by":[75,103,188],"testing":[76],"on":[77,90],"collected":[78],"real-world":[79],"cycles.":[81],"Then,":[82],"novel":[84],"based":[89],"model":[92,134],"controller":[94],"(MPC),":[95],"reference":[97],"projection":[98],"which":[100],"generated":[102],"meta-learning":[106],"predictor.":[107],"Our":[108],"strategy":[110],"applies":[111],"dynamic":[112],"programming":[113],"(DP)":[114],"solve":[116],"optimal":[118],"control":[119],"problem.":[120],"practicability":[122],"analyzed":[129],"regard":[131],"disturbances,":[138],"generalization":[139],"ability":[140],"applicability.":[143],"takes":[148],"both":[149],"power":[151],"distribution":[152],"between":[153,161],"front":[155],"rear":[157],"axles":[158],"that":[160,173],"two":[162],"motors":[163],"wheel":[166],"into":[167],"consideration.":[168],"simulation":[170],"results":[171],"reveal":[172],"state-of-charge":[175],"(SOC)":[176],"declination":[177],"than":[185],"benchmark":[187],"2.66%":[189],"3.64%.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}