{"id":"https://openalex.org/W2971138585","doi":"https://doi.org/10.1109/icphm.2019.8819384","title":"Remaining Useful Life Prediction of Lithium-Ion Batteries Using Multi-model Gaussian Process","display_name":"Remaining Useful Life Prediction of Lithium-Ion Batteries Using Multi-model Gaussian Process","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2971138585","doi":"https://doi.org/10.1109/icphm.2019.8819384","mag":"2971138585"},"language":"en","primary_location":{"id":"doi:10.1109/icphm.2019.8819384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2019.8819384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-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/A5100457571","display_name":"Meng Li","orcid":"https://orcid.org/0000-0003-3553-0813"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":["School of Electrical and Electronic Engineering, and Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, 391, Binshui Xidao, Xiqing District, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, and Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, 391, Binshui Xidao, Xiqing District, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006711461","display_name":"Mohammadkazem Sadoughi","orcid":"https://orcid.org/0000-0002-6106-3318"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohammadkazem Sadoughi","raw_affiliation_strings":["School of Electrical and Electronic Engineering, and Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, 391, Binshui Xidao, Xiqing District, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, and Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, 391, Binshui Xidao, Xiqing District, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784816","display_name":"Sheng Shen","orcid":"https://orcid.org/0000-0002-9951-0814"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Shen","raw_affiliation_strings":["School of Electrical and Electronic Engineering, and Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, 391, Binshui Xidao, Xiqing District, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, and Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, 391, Binshui Xidao, Xiqing District, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034420112","display_name":"Chao Hu","orcid":"https://orcid.org/0000-0001-9228-7675"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Hu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6378,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72800971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9776999950408936,"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/fade","display_name":"Fade","score":0.9785647392272949},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.7577812671661377},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5755586624145508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5219944715499878},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48489099740982056},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4262884855270386},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.4129272699356079},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.358248233795166},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24584046006202698},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2232983112335205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17234507203102112},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07762414216995239}],"concepts":[{"id":"https://openalex.org/C2778518048","wikidata":"https://www.wikidata.org/wiki/Q848346","display_name":"Fade","level":2,"score":0.9785647392272949},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.7577812671661377},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5755586624145508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5219944715499878},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48489099740982056},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4262884855270386},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.4129272699356079},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.358248233795166},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24584046006202698},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2232983112335205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17234507203102112},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07762414216995239},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.1109/icphm.2019.8819384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2019.8819384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W625912296","https://openalex.org/W1746819321","https://openalex.org/W1969722022","https://openalex.org/W1981952896","https://openalex.org/W2007672025","https://openalex.org/W2043217528","https://openalex.org/W2082640612","https://openalex.org/W2084663232","https://openalex.org/W2085094058","https://openalex.org/W2088924893","https://openalex.org/W2090006023","https://openalex.org/W2115233498","https://openalex.org/W2263364750","https://openalex.org/W2413802951","https://openalex.org/W2563343938","https://openalex.org/W2597586889","https://openalex.org/W2612210564","https://openalex.org/W2621339217","https://openalex.org/W2770203925","https://openalex.org/W2794296372","https://openalex.org/W2899565748","https://openalex.org/W4211049957","https://openalex.org/W6677560776"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W3011797538","https://openalex.org/W4296478327","https://openalex.org/W3160630276","https://openalex.org/W1960072520","https://openalex.org/W2042397106","https://openalex.org/W2188052638","https://openalex.org/W2757942247","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,31,51,127,154,170,176],"multi-model":[4],"Gaussian":[5,32],"process":[6,33],"(MMGP)":[7],"approach":[8,19,133,190],"for":[9,136,197],"predicting":[10],"the":[11,27,38,44,47,60,65,72,80,84,94,100,104,108,111,118,123,137,187,198,207,213,219],"RUL":[12,112,138,182],"of":[13,30,43,54,103,110,140,162],"lithium-ion":[14],"batteries.":[15,45],"The":[16,131,160,181],"proposed":[17,188],"MMGP":[18,132,189],"incorporates":[20],"multiple":[21],"candidate":[22,90],"capacity":[23,40,120,129,148,203,220],"fade":[24,41,74,91,149,172,179,204,221],"models,":[25],"as":[26,99,209,211],"trend":[28,42,101,195],"functions":[29,196],"(GP)":[34],"model,":[35],"to":[36,215],"capture":[37],"multi-stage":[39,147],"First,":[46],"hypothetical":[48,81],"capacities":[49,82,87,161],"at":[50,59,201],"predefined":[52],"number":[53],"future":[55],"cycles":[56],"are":[57],"predicted":[58],"current":[61,156],"cycle":[62],"based":[63],"on":[64],"offline":[66],"data":[67],"using":[68,88,122],"similarity-based":[69],"extrapolation.":[70],"Then,":[71],"active":[73,95],"model":[75,92,96,125,200],"is":[76,97,113],"selected":[77],"by":[78,115,169],"comparing":[79],"with":[83,153],"GP":[85,105,124,199],"model-projected":[86],"each":[89],"and":[93,174],"employed":[98],"function":[102],"model.":[106],"Finally,":[107],"distribution":[109],"estimated":[114],"determining":[116],"when":[117,151],"projected":[119],"curves":[121],"down-cross":[126],"pre-defined":[128],"threshold.":[130],"was":[134],"used":[135],"prediction":[139,183],"eight":[141],"lithiumion":[142],"battery":[143],"cells":[144,164],"that":[145,186],"show":[146],"behavior":[150],"cycled":[152],"daily":[155],"rate":[157,173],"(i.e.,":[158],"C/24).":[159],"these":[163],"initially":[165],"degrade":[166],"rapidly,":[167],"followed":[168],"reduced":[171],"then":[175],"faster":[177],"linear":[178],"rate.":[180],"results":[184],"suggest":[185],"can":[191],"adaptively":[192],"select":[193],"proper":[194],"different":[202,224],"stages":[205],"throughout":[206],"lifetime,":[208],"well":[210],"adapting":[212],"models":[214],"accommodate":[216],"variations":[217],"in":[218],"performance":[222],"among":[223],"cells.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}