{"id":"https://openalex.org/W2902447979","doi":"https://doi.org/10.1109/ias.2018.8544607","title":"Extreme Learning Machine for SOC Estimation of Lithium-ion battery Using Gravitational Search Algorithm","display_name":"Extreme Learning Machine for SOC Estimation of Lithium-ion battery Using Gravitational Search Algorithm","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902447979","doi":"https://doi.org/10.1109/ias.2018.8544607","mag":"2902447979"},"language":"en","primary_location":{"id":"doi:10.1109/ias.2018.8544607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias.2018.8544607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072301467","display_name":"Molla Shahadat Hossain Lipu","orcid":"https://orcid.org/0000-0001-9060-4454"},"institutions":[{"id":"https://openalex.org/I243381257","display_name":"Universidad Loyola Andaluc\u00eda","ror":"https://ror.org/0075gfd51","country_code":"ES","type":"education","lineage":["https://openalex.org/I243381257"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M.S. Hossain Lipu","raw_affiliation_strings":["Departamento de Ingenier\u00eda, Universidad Loyola Andaluc\u00eda, Sevilla, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Ingenier\u00eda, Universidad Loyola Andaluc\u00eda, Sevilla, Spain","institution_ids":["https://openalex.org/I243381257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075155216","display_name":"M. A. Hannan","orcid":"https://orcid.org/0000-0001-8367-4112"},"institutions":[{"id":"https://openalex.org/I243381257","display_name":"Universidad Loyola Andaluc\u00eda","ror":"https://ror.org/0075gfd51","country_code":"ES","type":"education","lineage":["https://openalex.org/I243381257"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. A. Hannan","raw_affiliation_strings":["Departamento de Ingenier\u00eda, Universidad Loyola Andaluc\u00eda, Sevilla, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Ingenier\u00eda, Universidad Loyola Andaluc\u00eda, Sevilla, Spain","institution_ids":["https://openalex.org/I243381257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019902685","display_name":"Aini Hussain","orcid":"https://orcid.org/0000-0001-7347-7879"},"institutions":[{"id":"https://openalex.org/I243381257","display_name":"Universidad Loyola Andaluc\u00eda","ror":"https://ror.org/0075gfd51","country_code":"ES","type":"education","lineage":["https://openalex.org/I243381257"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Aini Hussain","raw_affiliation_strings":["Departamento de Ingenier\u00eda, Universidad Loyola Andaluc\u00eda, Sevilla, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Ingenier\u00eda, Universidad Loyola Andaluc\u00eda, Sevilla, Spain","institution_ids":["https://openalex.org/I243381257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101582049","display_name":"Mohamad Hanif Md Saad","orcid":"https://orcid.org/0000-0002-1587-964X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M.H.M. Saad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065877236","display_name":"Afida Ayob","orcid":"https://orcid.org/0000-0002-7112-5148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Ayob","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101493057","display_name":"M. Nasir Uddin","orcid":"https://orcid.org/0000-0002-2860-3124"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. N. Uddin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1815,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77816696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9984999895095825,"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/T12676","display_name":"Machine Learning and ELM","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.838433027267456},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.688971757888794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858746409416199},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.610610842704773},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.512313961982727},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.4981207847595215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47903576493263245},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4410002827644348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40679341554641724},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.3903609812259674},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3238314390182495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13799557089805603}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.838433027267456},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.688971757888794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858746409416199},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.610610842704773},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.512313961982727},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.4981207847595215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47903576493263245},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4410002827644348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40679341554641724},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.3903609812259674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3238314390182495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13799557089805603},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias.2018.8544607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias.2018.8544607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322699","display_name":"Universiti Kebangsaan Malaysia","ror":"https://ror.org/00bw8d226"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1993717606","https://openalex.org/W1996801827","https://openalex.org/W2006829425","https://openalex.org/W2031878488","https://openalex.org/W2052226933","https://openalex.org/W2052709531","https://openalex.org/W2057708672","https://openalex.org/W2072955302","https://openalex.org/W2095494587","https://openalex.org/W2103480424","https://openalex.org/W2129746134","https://openalex.org/W2151243363","https://openalex.org/W2158054309","https://openalex.org/W2158701335","https://openalex.org/W2165562590","https://openalex.org/W2167503549","https://openalex.org/W2169976759","https://openalex.org/W2294297198","https://openalex.org/W2300276917","https://openalex.org/W2514892265","https://openalex.org/W2557417232","https://openalex.org/W2613389393","https://openalex.org/W2774891939","https://openalex.org/W2776458183","https://openalex.org/W2791067576","https://openalex.org/W2804457427","https://openalex.org/W2816423305","https://openalex.org/W4233548378","https://openalex.org/W4241174660","https://openalex.org/W6747220420"],"related_works":["https://openalex.org/W2969890106","https://openalex.org/W3134233996","https://openalex.org/W1971541091","https://openalex.org/W3185179407","https://openalex.org/W2005318905","https://openalex.org/W4320060020","https://openalex.org/W2475251269","https://openalex.org/W2391384657","https://openalex.org/W1857044720","https://openalex.org/W2048308819"],"abstract_inverted_index":{"This":[0],"paper":[1],"develops":[2],"a":[3,11,57,169],"state":[4],"of":[5,44,54,115,188],"charge":[6],"(SOC)":[7],"estimation":[8,27,33],"model":[9,87,96,101,117,154,176],"for":[10,25,75,97],"lithium-ion":[12],"battery":[13,92],"using":[14,108,141],"an":[15],"improved":[16],"extreme":[17],"learning":[18],"machine":[19],"(ELM)":[20],"algorithm.":[21],"ELM":[22,29,45,70,84],"is":[23,46,65,103,118,181],"suitable":[24],"SOC":[26,98,160,179],"since":[28],"algorithm":[30,63],"has":[31],"fast":[32],"speed,":[34],"good":[35],"generalization":[36],"performance,":[37],"and":[38,52,94,130,145,158,165,177],"high":[39,156],"accuracy.":[40],"However,":[41],"the":[42,69,76,152,174,186,189],"performance":[43,114],"highly":[47],"dependent":[48],"on":[49],"training":[50],"accuracy":[51,157],"number":[53],"neurons":[55],"in":[56],"hidden":[58,79],"layer.":[59],"Hence,":[60],"gravitational":[61],"search":[62],"(GSA)":[64],"applied":[66],"to":[67],"improve":[68],"computational":[71],"intelligence":[72],"by":[73],"searching":[74],"optimal":[77,83],"value":[78],"layer":[80],"neurons.":[81],"The":[82,100,113,137,148],"based":[85],"GSA":[86],"does":[88],"not":[89],"require":[90],"internal":[91],"knowledge":[93],"mathematical":[95],"estimation.":[99],"robustness":[102],"validated":[104],"at":[105],"different":[106,109,142],"temperatures":[107],"EV":[110],"drive":[111],"cycles.":[112],"ELM-GSA":[116,153],"verified":[119],"with":[120],"two":[121],"popular":[122],"neural":[123,127,134],"network":[124,128,135],"methods;":[125],"back-propagation":[126],"(BPNN)":[129],"radial":[131],"basis":[132],"function":[133],"(RBFNN).":[136],"results":[138,149],"are":[139],"evaluated":[140],"error":[143,161],"rates":[144],"computation":[146],"cost.":[147],"demonstrate":[150],"that":[151],"offers":[155],"low":[159],"rate":[162],"than":[163],"BPNN-GSA":[164],"RBFNN-GSA":[166],"models.":[167],"Furthermore,":[168],"detailed":[170],"comparative":[171],"study":[172],"between":[173],"proposed":[175,190],"existing":[178],"strategies":[180],"conducted":[182],"which":[183],"also":[184],"demonstrates":[185],"superiority":[187],"model.":[191]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}