{"id":"https://openalex.org/W4296558740","doi":"https://doi.org/10.1109/tnnls.2022.3205040","title":"Adaptive Neural Network-Based Event-Triggered SOC Observer With Application to a Stochastic Battery Model","display_name":"Adaptive Neural Network-Based Event-Triggered SOC Observer With Application to a Stochastic Battery Model","publication_year":2022,"publication_date":"2022-09-21","ids":{"openalex":"https://openalex.org/W4296558740","doi":"https://doi.org/10.1109/tnnls.2022.3205040","pmid":"https://pubmed.ncbi.nlm.nih.gov/36129870"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3205040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3205040","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5028232471","display_name":"Chenyang Pan","orcid":"https://orcid.org/0000-0002-3141-2150"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Pan","raw_affiliation_strings":["School of Transportation Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3141-2150","affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046035584","display_name":"Zhaoxia Peng","orcid":"https://orcid.org/0000-0002-0275-9614"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxia Peng","raw_affiliation_strings":["School of Transportation Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0275-9614","affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025307891","display_name":"Shichun Yang","orcid":"https://orcid.org/0000-0003-3426-7988"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichun Yang","raw_affiliation_strings":["School of Transportation Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3426-7988","affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061458979","display_name":"Guoguang Wen","orcid":"https://orcid.org/0000-0001-9128-1802"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoguang Wen","raw_affiliation_strings":["Department of Mathematics, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9128-1802","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012004938","display_name":"Biao Luo","orcid":"https://orcid.org/0000-0002-3353-2586"},"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":"Biao Luo","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3353-2586","affiliations":[{"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/A5074290686","display_name":"Tingwen Huang","orcid":"https://orcid.org/0000-0001-9610-846X"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Tingwen Huang","raw_affiliation_strings":["Science Program, Texas A&#x0026;M University at Qatar, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0001-9610-846X","affiliations":[{"raw_affiliation_string":"Science Program, Texas A&#x0026;M University at Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8797,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.69205612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"35","issue":"4","first_page":"5501","last_page":"5511"},"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/T10018","display_name":"Advancements in Battery Materials","score":0.9941999912261963,"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/T11690","display_name":"Advanced battery technologies research","score":0.9922999739646912,"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/control-theory","display_name":"Control theory (sociology)","score":0.7088736891746521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629317998886108},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6099743843078613},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5730832815170288},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.5630183219909668},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.45530930161476135},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43653690814971924},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.43172386288642883},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.3023108243942261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.262376070022583},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.10725057125091553}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7088736891746521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629317998886108},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6099743843078613},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5730832815170288},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.5630183219909668},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.45530930161476135},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43653690814971924},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.43172386288642883},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.3023108243942261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.262376070022583},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.10725057125091553},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3205040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3205040","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:36129870","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36129870","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1704343669","display_name":null,"funder_award_id":"61977004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1794098385","display_name":null,"funder_award_id":"YWF-20-BJ-J-634","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2472041608","display_name":null,"funder_award_id":"YWF-19-BJJ-259","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3870285682","display_name":null,"funder_award_id":"2017YFB0103202","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8470616702","display_name":null,"funder_award_id":"61503016","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1978921618","https://openalex.org/W2037479256","https://openalex.org/W2084988223","https://openalex.org/W2087336123","https://openalex.org/W2133496267","https://openalex.org/W2137804106","https://openalex.org/W2215994231","https://openalex.org/W2291165559","https://openalex.org/W2341585352","https://openalex.org/W2347014962","https://openalex.org/W2587532667","https://openalex.org/W2589366957","https://openalex.org/W2589578140","https://openalex.org/W2613389393","https://openalex.org/W2743993177","https://openalex.org/W2769528646","https://openalex.org/W2892158412","https://openalex.org/W2942204867","https://openalex.org/W2945571737","https://openalex.org/W2949235991","https://openalex.org/W2974691632","https://openalex.org/W2981475095","https://openalex.org/W2984331380","https://openalex.org/W2992710727","https://openalex.org/W2998647498","https://openalex.org/W2999803522","https://openalex.org/W3028773988","https://openalex.org/W3036753365","https://openalex.org/W3080742610","https://openalex.org/W3092498295"],"related_works":["https://openalex.org/W1562159987","https://openalex.org/W2004734718","https://openalex.org/W3190332208","https://openalex.org/W4388623464","https://openalex.org/W3126531014","https://openalex.org/W2519883542","https://openalex.org/W2098124661","https://openalex.org/W3006423619","https://openalex.org/W4385625847","https://openalex.org/W3195056770"],"abstract_inverted_index":{"Accurate":[0],"state":[1],"of":[2,14,54,64,78,130,147,170],"charge":[3],"(SOC)":[4],"is":[5,37,43,57,86,101,113,118,133],"crucial":[6],"to":[7,26,45,60],"achieving":[8],"safe,":[9],"reliable,":[10],"and":[11,67,115,135,145,155,173],"efficient":[12],"use":[13],"batteries.":[15],"This":[16],"article":[17],"proposes":[18],"an":[19,40,82,104],"adaptive":[20,41,105],"neural":[21],"network":[22,55],"(NN)-based":[23],"event-triggered":[24,83],"observer":[25,112,150],"estimate":[27,164],"SOC.":[28],"First,":[29],"a":[30],"stochastic":[31],"battery":[32],"equivalent":[33],"circuit":[34],"model":[35,65],"(ECM)":[36],"established,":[38],"where":[39],"NN":[42],"employed":[44,87],"approximate":[46],"the":[47,62,76,89,95,121,125,143,148,160,168],"unknown":[48],"nonlinear":[49],"part.":[50],"The":[51],"learning":[52],"process":[53],"weight":[56,90],"conducted":[58],"online":[59],"observe":[61],"variations":[63],"parameters":[66],"avoid":[68],"time-consuming":[69],"processes":[70],"for":[71,75],"parameter":[72],"extraction.":[73],"Besides,":[74],"purpose":[77],"saving":[79],"computational":[80],"cost,":[81],"mechanism":[84],"(ETM)":[85],"in":[88,167],"updating":[91],"law,":[92],"which":[93],"means":[94],"weights":[96],"only":[97],"update":[98],"when":[99],"it":[100],"necessary.":[102],"Then,":[103],"radial":[106],"basis":[107],"function":[108],"(RBF)":[109],"NN-based":[110],"SOC":[111,165],"designed,":[114],"its":[116],"stability":[117],"proven":[119],"by":[120,153],"Lyapunov":[122],"theory.":[123],"Moreover,":[124],"strictly":[126],"positive":[127],"lower":[128],"bound":[129],"interevent":[131],"time":[132],"derived,":[134],"undesirable":[136],"Zeno":[137],"behavior":[138],"can":[139,163],"be":[140],"excluded.":[141],"Finally,":[142],"accuracy":[144],"robustness":[146],"proposed":[149,161],"are":[151],"evaluated":[152],"experiments":[154],"simulations.":[156],"Results":[157],"show":[158],"that":[159],"method":[162],"accurately":[166],"presence":[169],"initial":[171],"deviation":[172],"sensor":[174],"noises.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
