{"id":"https://openalex.org/W3202413995","doi":"https://doi.org/10.1109/access.2021.3116264","title":"Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries","display_name":"Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3202413995","doi":"https://doi.org/10.1109/access.2021.3116264","mag":"3202413995"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3116264","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3116264","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09551933.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/ielx7/6287639/6514899/09551933.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004855822","display_name":"Karkulali Pugalenthi","orcid":null},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Karkulali Pugalenthi","raw_affiliation_strings":["Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487 372"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487 372","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931123","display_name":"Hyunseok Park","orcid":"https://orcid.org/0000-0001-6426-1531"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunseok Park","raw_affiliation_strings":["Department of Information Systems, Hanyang University, Seoul 133-791, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-6426-1531","affiliations":[{"raw_affiliation_string":"Department of Information Systems, Hanyang University, Seoul 133-791, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080149173","display_name":"Shaista Hussain","orcid":"https://orcid.org/0000-0003-2004-2681"},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shaista Hussain","raw_affiliation_strings":["A*STAR Institute of High Performance Computing (IHPC), Computational Intelligence Group, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR Institute of High Performance Computing (IHPC), Computational Intelligence Group, Singapore 138632","institution_ids":["https://openalex.org/I3004594783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064500828","display_name":"Nagarajan Raghavan","orcid":"https://orcid.org/0000-0001-6735-3108"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Nagarajan Raghavan","raw_affiliation_strings":["Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487 372. (e-mail: nagarajan@sutd.edu.sg)","Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487 372"],"raw_orcid":"https://orcid.org/0000-0001-6735-3108","affiliations":[{"raw_affiliation_string":"Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487 372. (e-mail: nagarajan@sutd.edu.sg)","institution_ids":["https://openalex.org/I152815399"]},{"raw_affiliation_string":"Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487 372","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064500828"],"corresponding_institution_ids":["https://openalex.org/I152815399"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2086,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78342815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"135132","last_page":"135143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9986000061035156,"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":0.9986000061035156,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9789000153541565,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6758500337600708},{"id":"https://openalex.org/keywords/lithium","display_name":"Lithium (medication)","score":0.6256502866744995},{"id":"https://openalex.org/keywords/ion","display_name":"Ion","score":0.5956338047981262},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5243606567382812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5197750926017761},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4375092387199402},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.37625959515571594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2945765256881714},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15250027179718018},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12625649571418762},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09214979410171509},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07016289234161377}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6758500337600708},{"id":"https://openalex.org/C2778541603","wikidata":"https://www.wikidata.org/wiki/Q152763","display_name":"Lithium (medication)","level":2,"score":0.6256502866744995},{"id":"https://openalex.org/C145148216","wikidata":"https://www.wikidata.org/wiki/Q36496","display_name":"Ion","level":2,"score":0.5956338047981262},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5243606567382812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5197750926017761},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4375092387199402},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.37625959515571594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2945765256881714},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15250027179718018},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12625649571418762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09214979410171509},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07016289234161377},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3116264","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3116264","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09551933.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:d0cb8f58e59a41e181190f26767035a2","is_oa":true,"landing_page_url":"https://doaj.org/article/d0cb8f58e59a41e181190f26767035a2","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 9, Pp 135132-135143 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3116264","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3116264","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09551933.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":[{"score":0.5600000023841858,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1020791579","display_name":null,"funder_award_id":"IGIPAMD1801","funder_id":"https://openalex.org/F4320320742","funder_display_name":"Economic Development Board - Singapore"},{"id":"https://openalex.org/G3994017150","display_name":null,"funder_award_id":"A20H5b0142","funder_id":"https://openalex.org/F4320320742","funder_display_name":"Economic Development Board - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320742","display_name":"Economic Development Board - Singapore","ror":"https://ror.org/02nqj0b62"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202413995.pdf","grobid_xml":"https://content.openalex.org/works/W3202413995.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W286146339","https://openalex.org/W1612700042","https://openalex.org/W1977333327","https://openalex.org/W2059591821","https://openalex.org/W2078098002","https://openalex.org/W2085942406","https://openalex.org/W2089180659","https://openalex.org/W2097956058","https://openalex.org/W2158196600","https://openalex.org/W2204993982","https://openalex.org/W2475096048","https://openalex.org/W2519293289","https://openalex.org/W2584089850","https://openalex.org/W2594580367","https://openalex.org/W2617137613","https://openalex.org/W2729150869","https://openalex.org/W2889809771","https://openalex.org/W2894782227","https://openalex.org/W2899336917","https://openalex.org/W2901287750","https://openalex.org/W2904460913","https://openalex.org/W2915034955","https://openalex.org/W2942016856","https://openalex.org/W2947106155","https://openalex.org/W2971114125","https://openalex.org/W2980750262","https://openalex.org/W2981463388","https://openalex.org/W6610295394"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W1991846142","https://openalex.org/W2556064263","https://openalex.org/W1583020711","https://openalex.org/W1521151968","https://openalex.org/W2128655648","https://openalex.org/W2900672867","https://openalex.org/W1690802106","https://openalex.org/W2347749309","https://openalex.org/W2384389541"],"abstract_inverted_index":{"Prognostics":[0],"and":[1,22,44,134,176,204,220,227,245,254,277,292],"Health":[2],"Management":[3],"(PHM)":[4],"plays":[5],"a":[6,124,140,164],"key":[7],"role":[8],"in":[9,116,139],"Industry":[10],"4.0":[11],"revolution":[12],"by":[13,38],"providing":[14],"smart":[15],"predictive":[16],"maintenance":[17],"solutions.":[18],"Early":[19],"failure":[20,92,103,157],"detection":[21],"prediction":[23,62,290],"of":[24,29,71,190,240,263,284],"remaining":[25],"useful":[26],"life":[27],"(RUL)":[28],"critical":[30],"industrial":[31],"machines/components":[32],"are":[33,47,113,182,210,295],"the":[34,69,76,149,161,177,186,194,197,201,205,214,221,231,237,241,264,282,285,289],"main":[35],"challenges":[36],"addressed":[37],"PHM":[39],"methodologies.":[40],"In":[41,66,119,160,193],"literature,":[42],"model-based":[43,131],"data-driven":[45,87,135],"methods":[46,54,88,138],"widely":[48],"used":[49,169,183,217],"for":[50,60,151,218],"RUL":[51,61,228],"estimation.":[52],"Model-based":[53],"rely":[55],"on":[56,225,236,252,288],"empirical/phenomenological":[57],"degradation":[58,153,174,259],"models":[59,74],"using":[63,230,270],"Bayesian":[64],"formulations.":[65],"many":[67],"cases,":[68],"lack":[70],"accurate":[72,152],"physics-based":[73],"emphasizes":[75],"need":[77,150],"to":[78,80,106,147,170,184,212],"resort":[79],"machine":[81,91,109],"learning":[82],"based":[83],"prognostic":[84,127,279],"algorithms.":[85],"However,":[86],"require":[89],"extensive":[90,156],"data":[93,158],"incorporating":[94],"all":[95,101],"possible":[96,102],"operating":[97],"conditions":[98],"along":[99],"with":[100],"modes":[104],"pertaining":[105],"that":[107],"particular":[108],"/":[110],"component,":[111],"which":[112],"seldom":[114],"available":[115],"their":[117],"entirety.":[118],"this":[120],"work,":[121],"we":[122],"propose":[123],"three-stage":[125],"hybrid":[126,266],"algorithm":[128,199,267],"(HyA)":[129],"combining":[130],"(Particle":[132],"Filters-PF)":[133],"(Neural":[136],"Networks-NN)":[137],"unique":[141],"way.":[142],"The":[143,247,261],"proposed":[144,248,265],"method":[145,249],"aims":[146],"overcome":[148],"modeling":[154],"or":[155],"sets.":[159],"first":[162],"stage,":[163,196],"feedforward":[165],"neural":[166,215],"network":[167,216],"is":[168,250,268],"formulate":[171],"lithium-ion":[172,256],"battery\u2019s":[173],"trends":[175],"corresponding":[178],"NN":[179,233,286],"model":[180,202,207,234],"parameters":[181,203],"define":[185],"initial":[187],"prior":[188],"distribution":[189],"PF":[191,198,242],"algorithm.":[192],"second":[195],"optimizes":[200],"posterior":[206,238],"parameter":[208],"distributions":[209,239],"utilized":[211],"\u2018warm-start\u2019":[213],"prognosis":[219,226],"third/final":[222],"stages":[223],"focuses":[224],"estimation":[229],"trained":[232],"leveraging":[235],"fine-tuned":[243],"weights":[244],"biases.":[246],"demonstrated":[251],"CALCE":[253],"NASA":[255],"battery":[257],"capacity":[258],"datasets.":[260],"efficacy":[262],"evaluated":[269],"root":[271],"mean":[272],"square":[273],"error":[274],"(RMSE)":[275],"values":[276],"alpha-lambda":[278],"metrics.":[280],"Also,":[281],"impact":[283],"architecture":[287],"accuracy":[291],"computational":[293],"load":[294],"analyzed.":[296]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}
