{"id":"https://openalex.org/W2969597012","doi":"https://doi.org/10.1109/access.2019.2936822","title":"RUL Prediction of Lithium-Ion Battery Based on Improved DGWO-ELM Method in a Random Discharge Rates Environment","display_name":"RUL Prediction of Lithium-Ion Battery Based on Improved DGWO-ELM Method in a Random Discharge Rates Environment","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2969597012","doi":"https://doi.org/10.1109/access.2019.2936822","mag":"2969597012"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2936822","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2936822","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809676.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809676.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100606999","display_name":"Jun Zhu","orcid":"https://orcid.org/0000-0003-3085-1159"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhu","raw_affiliation_strings":["Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3085-1159","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054630316","display_name":"Tianxiong Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiong Tan","raw_affiliation_strings":["Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101892410","display_name":"Lifeng Wu","orcid":"https://orcid.org/0000-0002-5238-8823"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Wu","raw_affiliation_strings":["Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5238-8823","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110915955","display_name":"Huimei Yuan","orcid":"https://orcid.org/0000-0001-5889-7015"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimei Yuan","raw_affiliation_strings":["Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96852419"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0006,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.85791173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"125176","last_page":"125187"},"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":0.9915000200271606,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9649999737739563,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6955153942108154},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.6632481813430786},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6517904996871948},{"id":"https://openalex.org/keywords/lithium-ion-battery","display_name":"Lithium-ion battery","score":0.5546546578407288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5456415414810181},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5036177039146423},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.45421090722084045},{"id":"https://openalex.org/keywords/lithium","display_name":"Lithium (medication)","score":0.42417111992836},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28940075635910034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21700790524482727},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09319895505905151},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09110033512115479},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06728088855743408}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6955153942108154},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6632481813430786},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6517904996871948},{"id":"https://openalex.org/C2779197387","wikidata":"https://www.wikidata.org/wiki/Q2822895","display_name":"Lithium-ion battery","level":4,"score":0.5546546578407288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5456415414810181},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5036177039146423},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.45421090722084045},{"id":"https://openalex.org/C2778541603","wikidata":"https://www.wikidata.org/wiki/Q152763","display_name":"Lithium (medication)","level":2,"score":0.42417111992836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28940075635910034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21700790524482727},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09319895505905151},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09110033512115479},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06728088855743408},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/access.2019.2936822","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2936822","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809676.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7c7a4735662b4ed2abdbaee13a5f1856","is_oa":true,"landing_page_url":"https://doaj.org/article/7c7a4735662b4ed2abdbaee13a5f1856","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 125176-125187 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2936822","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2936822","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809676.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2286245311","display_name":null,"funder_award_id":"KZ201710028028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4095810677","display_name":null,"funder_award_id":"61873175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310931","display_name":"Capital Normal University","ror":"https://ror.org/005edt527"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2969597012.pdf","grobid_xml":"https://content.openalex.org/works/W2969597012.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1015042224","https://openalex.org/W1628954589","https://openalex.org/W1968827150","https://openalex.org/W1981460882","https://openalex.org/W2019627384","https://openalex.org/W2019732711","https://openalex.org/W2053443947","https://openalex.org/W2085942406","https://openalex.org/W2089602749","https://openalex.org/W2342265232","https://openalex.org/W2752286203","https://openalex.org/W2755467298","https://openalex.org/W2762464862","https://openalex.org/W2774791859","https://openalex.org/W2780406317","https://openalex.org/W2781930323","https://openalex.org/W2789655953","https://openalex.org/W2789874072","https://openalex.org/W2792657775","https://openalex.org/W2795653164","https://openalex.org/W2795701208","https://openalex.org/W2799353157","https://openalex.org/W2887140415","https://openalex.org/W2889174225","https://openalex.org/W2890169947","https://openalex.org/W2896616144","https://openalex.org/W2898710768","https://openalex.org/W2901594529","https://openalex.org/W2914838643","https://openalex.org/W2922095543","https://openalex.org/W2934143951","https://openalex.org/W2941362548","https://openalex.org/W2942204867","https://openalex.org/W2943367414","https://openalex.org/W2947556585","https://openalex.org/W2952602217","https://openalex.org/W2966169983"],"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/W3161330592"],"abstract_inverted_index":{"Lithium-ion":[0],"batteries":[1],"are":[2],"widely":[3],"applied":[4],"in":[5,103,154],"many":[6],"fields.":[7],"It":[8,16],"is":[9,17,53,61,110,133],"important":[10],"for":[11,76],"predicting":[12],"battery":[13,23,138,153],"life":[14],"(RUL).":[15],"randomly":[18],"discharged":[19],"that":[20,162],"the":[21,35,43,47,50,77,81,92,100,104,148,151,163,169],"lithium-ion":[22,57,137,152],"under":[24,38],"random":[25,156],"conditions.":[26,40],"The":[27,59,85,107,131,159],"experiment":[28],"of":[29,46,63,79,83,96,150,171],"constant":[30,139],"current":[31,140],"discharge":[32,36,141,157],"cannot":[33],"simulate":[34],"state":[37],"working":[39],"Based":[41],"on":[42,167],"data":[44],"collection":[45],"NASA":[48],"dataset,":[49],"DGWO-ELM":[51,60,108,164],"algorithm":[52,86,89,109,132],"proposed":[54],"to":[55,90,146],"predict":[56,147],"battery.":[58],"composed":[62],"Extreme":[64],"Learning":[65],"Machine":[66],"(ELM),":[67],"Grey":[68,127],"Wolf":[69,128],"Optimization":[70,129],"(GWO),":[71],"and":[72,94,98,122,143],"Differential":[73],"Evolution":[74],"(DE)":[75],"purpose":[78],"improving":[80,168],"accuracy":[82,170],"prediction.":[84,172],"uses":[87],"GWO":[88,105],"optimize":[91],"weight":[93],"threshold":[95],"ELM":[97,114],"improves":[99],"three":[101],"deficiencies":[102],"algorithm.":[106],"proved":[111],"preferably":[112],"than":[113],"predictor":[115,124],"improved":[116,125],"by":[117,126,135],"particle":[118],"swarm":[119],"optimization":[120],"(PSO-ELM)":[121],"SVM":[123],"(GWO-SVM).":[130],"verified":[134],"NASA's":[136],"data,":[142],"then":[144],"used":[145],"RUL":[149],"a":[155],"environment.":[158],"results":[160],"show":[161],"performs":[165],"well":[166]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
