{"id":"https://openalex.org/W4319834120","doi":"https://doi.org/10.1177/01423312221144475","title":"Extreme learning machine\u2013radial basis function neural network\u2013based state-of-charge estimation of lithium-ion batteries assisted with fiber Bragg grating sensor measurements","display_name":"Extreme learning machine\u2013radial basis function neural network\u2013based state-of-charge estimation of lithium-ion batteries assisted with fiber Bragg grating sensor measurements","publication_year":2023,"publication_date":"2023-01-17","ids":{"openalex":"https://openalex.org/W4319834120","doi":"https://doi.org/10.1177/01423312221144475"},"language":"en","primary_location":{"id":"doi:10.1177/01423312221144475","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312221144475","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","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/A5101418917","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0003-2432-9866"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["State Grid Jiangsu Electric Power Research Institute, China"],"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Electric Power Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931734","display_name":"Qi Zhou","orcid":"https://orcid.org/0000-0002-6761-0132"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Zhou","raw_affiliation_strings":["State Grid Jiangsu Electric Power Research Institute, China"],"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Electric Power Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002933238","display_name":"Min Zheng","orcid":"https://orcid.org/0000-0003-1123-0306"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zheng","raw_affiliation_strings":["Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026492466","display_name":"Qun Niu","orcid":"https://orcid.org/0000-0002-5048-060X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Niu","raw_affiliation_strings":["Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425662","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0002-9128-7240"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735340","display_name":"Dajun Du","orcid":"https://orcid.org/0000-0003-2979-1507"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dajun Du","raw_affiliation_strings":["Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076035937","display_name":"Lei Gao","orcid":"https://orcid.org/0000-0003-3838-0478"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Gao","raw_affiliation_strings":["State Grid Jiangsu Electric Power Research Institute, China"],"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Electric Power Research Institute, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090457718","display_name":"Xiaodong Yuan","orcid":"https://orcid.org/0000-0003-4516-2049"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaodong Yuan","raw_affiliation_strings":["State Grid Jiangsu Electric Power Research Institute, China"],"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Electric Power Research Institute, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100425662"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.576,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63657887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"47","issue":"15","first_page":"3088","last_page":"3097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":1.0,"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":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9876000285148621,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7184763550758362},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.7040393352508545},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.6467151641845703},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6164436936378479},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5543298125267029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46489375829696655},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.37759268283843994},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3642950654029846},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.33094507455825806},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29274022579193115},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2718450427055359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23993325233459473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12173813581466675}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7184763550758362},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.7040393352508545},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.6467151641845703},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6164436936378479},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5543298125267029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46489375829696655},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.37759268283843994},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3642950654029846},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33094507455825806},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29274022579193115},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2718450427055359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23993325233459473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12173813581466675},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/01423312221144475","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312221144475","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1510649093","https://openalex.org/W1969506110","https://openalex.org/W1982949309","https://openalex.org/W1985947740","https://openalex.org/W1987116488","https://openalex.org/W1996801827","https://openalex.org/W2007223064","https://openalex.org/W2010190100","https://openalex.org/W2028874516","https://openalex.org/W2057539615","https://openalex.org/W2069313529","https://openalex.org/W2123904659","https://openalex.org/W2129746134","https://openalex.org/W2129796157","https://openalex.org/W2141695047","https://openalex.org/W2161138491","https://openalex.org/W2194049336","https://openalex.org/W2213611333","https://openalex.org/W2288626106","https://openalex.org/W2295095222","https://openalex.org/W2300869431","https://openalex.org/W2341663352","https://openalex.org/W2344174278","https://openalex.org/W2509529709","https://openalex.org/W2535662815","https://openalex.org/W2559924613","https://openalex.org/W2560210672","https://openalex.org/W2571998960","https://openalex.org/W2610330931","https://openalex.org/W2617783268","https://openalex.org/W2625582093","https://openalex.org/W2734672465","https://openalex.org/W2738719866","https://openalex.org/W2774891939","https://openalex.org/W2791856061","https://openalex.org/W2796379873","https://openalex.org/W2920560441","https://openalex.org/W2922306207","https://openalex.org/W2948120743","https://openalex.org/W2953569852","https://openalex.org/W2955355093","https://openalex.org/W2973538758","https://openalex.org/W3010779281","https://openalex.org/W3027617872","https://openalex.org/W3048751588","https://openalex.org/W3080787577","https://openalex.org/W3111882272","https://openalex.org/W4205951204","https://openalex.org/W4211225923","https://openalex.org/W4226105234","https://openalex.org/W4289812837","https://openalex.org/W4292581506","https://openalex.org/W4293370691"],"related_works":["https://openalex.org/W2013764482","https://openalex.org/W1556584388","https://openalex.org/W2367768249","https://openalex.org/W2361912425","https://openalex.org/W2079606203","https://openalex.org/W3109221283","https://openalex.org/W2134293942","https://openalex.org/W1982145342","https://openalex.org/W4319834120","https://openalex.org/W4312051178"],"abstract_inverted_index":{"Lithium-ion":[0],"batteries":[1],"have":[2,44],"been":[3,45],"widely":[4],"used":[5,87],"in":[6,16],"power":[7],"systems":[8,36],"for":[9,33,47,115],"accepting":[10],"large-scale":[11],"renewable":[12],"energy":[13],"generations":[14],"and":[15,40,67,74,158,183,195],"the":[17,24,34,53,58,92,101,104,111,129,144,147,152,160,163,175,192,196,199],"transport":[18],"sector":[19],"to":[20,37,88,109,143,191,205],"facilitate":[21],"vehicle":[22],"decarbonization,":[23],"accuracy":[25],"of":[26,103,162,177],"state-of-charge":[27],"(SOC)":[28],"estimation":[29,50,113,172],"is":[30,126,203],"extremely":[31],"crucial":[32],"battery":[35,48,93,121],"operate":[38],"safely":[39],"reliably.":[41],"Many":[42],"approaches":[43],"developed":[46,127,200],"SOC":[49,94,112,122,201],"based":[51,99],"on":[52,100],"measurable":[54],"electrical":[55,59],"signals.":[56],"However,":[57],"measurements":[60],"are":[61,68,86],"usually":[62],"corrupted":[63],"by":[64,71,137],"sensor":[65],"noise":[66],"also":[69],"limited":[70],"insulation,":[72],"corrosion,":[73],"electromagnetic":[75],"compatibility.":[76],"To":[77],"address":[78],"these":[79],"problems,":[80],"fiber":[81],"Bragg":[82],"grating":[83],"(FBG)":[84],"sensors":[85],"replace":[89],"thermocouple":[90],"sensors,":[91],"therefore":[95],"can":[96],"be":[97],"estimated":[98],"measurement":[102],"strain":[105],"information.":[106],"In":[107],"order":[108],"train":[110],"model":[114,149,173],"lithium-ion":[116],"batteries,":[117],"an":[118],"FBG":[119],"sensor\u2013based":[120],"estimator,":[123,198],"namely,":[124],"ELM-RBFNN,":[125],"using":[128],"radial":[130,153],"basis":[131,154],"function":[132,155],"neural":[133],"network":[134],"(RBFNN)":[135],"identified":[136],"extreme":[138],"learning":[139,179],"machine":[140],"(ELM).":[141],"According":[142],"ELM":[145],"principle,":[146],"ELM-RBFNN":[148,171],"randomly":[150],"selects":[151],"(RBF)":[156],"centers":[157],"determines":[159],"parameters":[161],"hidden-layer":[164],"nodes":[165],"without":[166],"any":[167],"manual":[168],"adjustment.":[169],"The":[170],"has":[174],"advantages":[176],"fast":[178],"speed,":[180],"global":[181],"optimization,":[182],"excellent":[184],"generalization.":[185],"Experimental":[186],"results":[187],"confirm":[188],"that":[189],"compared":[190],"linear":[193],"estimator":[194,202],"polynomial":[197],"able":[204],"produce":[206],"more":[207],"accurate":[208],"results.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}