{"id":"https://openalex.org/W4213423839","doi":"https://doi.org/10.1109/tim.2022.3154003","title":"Prognostics of Lithium-Ion Batteries Based on Capacity Regeneration Analysis and Long Short-Term Memory Network","display_name":"Prognostics of Lithium-Ion Batteries Based on Capacity Regeneration Analysis and Long Short-Term Memory Network","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4213423839","doi":"https://doi.org/10.1109/tim.2022.3154003"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3154003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3154003","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-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/A5011347079","display_name":"Yuxuan Cui","orcid":"https://orcid.org/0000-0003-1623-5739"},"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":"Yuxuan Cui","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China","School of Reliability and Systems Engineering, Beihang University, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0003-1623-5739","affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing 100083, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645230","display_name":"Yunxia Chen","orcid":"https://orcid.org/0000-0001-9752-8650"},"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":"Yunxia Chen","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China","School of Reliability and Systems Engineering, Beihang University, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0001-9752-8650","affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing 100083, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2928,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.92350663,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"13"},"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/T10018","display_name":"Advancements in Battery Materials","score":0.9904000163078308,"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/prognostics","display_name":"Prognostics","score":0.9418599605560303},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5581741333007812},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5153254866600037},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.4775996208190918},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.4653758406639099},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45590513944625854},{"id":"https://openalex.org/keywords/state-of-health","display_name":"State of health","score":0.44852298498153687},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.44244617223739624},{"id":"https://openalex.org/keywords/lithium-ion-battery","display_name":"Lithium-ion battery","score":0.4359467923641205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43462860584259033},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.41151589155197144},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3942246437072754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.216172456741333},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.21079328656196594},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.18616771697998047}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9418599605560303},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5581741333007812},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5153254866600037},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.4775996208190918},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.4653758406639099},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45590513944625854},{"id":"https://openalex.org/C2777294910","wikidata":"https://www.wikidata.org/wiki/Q4050070","display_name":"State of health","level":4,"score":0.44852298498153687},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.44244617223739624},{"id":"https://openalex.org/C2779197387","wikidata":"https://www.wikidata.org/wiki/Q2822895","display_name":"Lithium-ion battery","level":4,"score":0.4359467923641205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43462860584259033},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.41151589155197144},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3942246437072754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.216172456741333},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.21079328656196594},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.18616771697998047},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3154003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3154003","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5699999928474426,"display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G4651205541","display_name":null,"funder_award_id":"52075019","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1549386224","https://openalex.org/W1673071435","https://openalex.org/W1972713604","https://openalex.org/W1994612099","https://openalex.org/W2002622348","https://openalex.org/W2015922755","https://openalex.org/W2017136542","https://openalex.org/W2023128139","https://openalex.org/W2040861280","https://openalex.org/W2078279667","https://openalex.org/W2085492612","https://openalex.org/W2088378662","https://openalex.org/W2095705004","https://openalex.org/W2099939667","https://openalex.org/W2107878631","https://openalex.org/W2109132687","https://openalex.org/W2109539992","https://openalex.org/W2120390927","https://openalex.org/W2125056386","https://openalex.org/W2134383471","https://openalex.org/W2135046866","https://openalex.org/W2150111797","https://openalex.org/W2153635508","https://openalex.org/W2333401465","https://openalex.org/W2405191498","https://openalex.org/W2497266549","https://openalex.org/W2551714397","https://openalex.org/W2767278549","https://openalex.org/W2789625876","https://openalex.org/W2790625295","https://openalex.org/W2792573670","https://openalex.org/W2792657775","https://openalex.org/W2796854462","https://openalex.org/W2889171365","https://openalex.org/W2898485094","https://openalex.org/W2907460853","https://openalex.org/W2907698232","https://openalex.org/W2935942259","https://openalex.org/W2943460745","https://openalex.org/W2957056027","https://openalex.org/W2966169983","https://openalex.org/W2981984647","https://openalex.org/W2999951339","https://openalex.org/W3007551622","https://openalex.org/W3026711307","https://openalex.org/W3045439457","https://openalex.org/W3087709927","https://openalex.org/W3092197222","https://openalex.org/W3109435056","https://openalex.org/W3111531074","https://openalex.org/W3111835906","https://openalex.org/W3125035928","https://openalex.org/W3131411182","https://openalex.org/W3182713161","https://openalex.org/W3196731055","https://openalex.org/W3207981445","https://openalex.org/W6674330103","https://openalex.org/W6678662110"],"related_works":["https://openalex.org/W3202873688","https://openalex.org/W4283021103","https://openalex.org/W2012595183","https://openalex.org/W2130213919","https://openalex.org/W2297255570","https://openalex.org/W2115233498","https://openalex.org/W1998527754","https://openalex.org/W4390416904","https://openalex.org/W2563120467","https://openalex.org/W1670175697"],"abstract_inverted_index":{"The":[0,48,85,108,142,171],"accurate":[1,180],"prognostics":[2],"of":[3,5,9,59,157,166,169],"state":[4],"health":[6],"(SOH)":[7],"prediction":[8,131,182],"lithium-ion":[10,149],"batteries":[11],"is":[12,72,95,114,145],"significant":[13],"for":[14,161],"manufacturers":[15],"and":[16,22,39,62,80,159],"consumers":[17],"to":[18,33,45,74,97,116,135],"determine":[19],"the":[20,24,35,40,56,64,76,81,99,118,121,125,130,137,167,175,184],"failure":[21],"optimize":[23],"usage":[25],"in":[26],"advance.":[27],"This":[28],"paper":[29],"proposes":[30],"a":[31],"framework":[32,144],"decouple":[34],"capacity":[36,42,77,139],"regeneration":[37,49,78,83],"phenomena":[38,50],"normal":[41,100],"degradation":[43,101,140],"process":[44],"make":[46],"predictions.":[47],"are":[51,133],"automatically":[52],"identified":[53],"by":[54],"clustering":[55],"time":[57,66],"intervals":[58],"adjacent":[60],"cycles":[61],"detecting":[63],"long":[65,109],"intervals.":[67],"Then":[68],"support":[69],"vector":[70],"regression":[71],"used":[73],"predict":[75,117],"amplitude":[79],"corresponding":[82],"cycles.":[84],"complete":[86,138],"ensemble":[87],"empirical":[88],"mode":[89,106],"decomposition":[90],"with":[91,120,147],"adaptive":[92],"noise":[93],"(CEEMDAN)":[94],"utilized":[96],"decompose":[98],"path":[102],"into":[103],"several":[104],"intrinsic":[105],"functions.":[107],"short-term":[110],"memory":[111],"recurrent":[112],"network":[113],"constructed":[115],"components":[119],"C-C":[122],"method":[123,177],"determining":[124],"appropriate":[126],"model":[127],"parameters.":[128],"Ultimately,":[129],"results":[132,172],"added":[134],"obtain":[136],"trajectory.":[141],"proposed":[143,176],"validated":[146],"five":[148],"battery":[150],"datasets":[151],"from":[152],"NASA":[153],"Ames":[154],"Prognostics":[155],"Center":[156,160],"Excellence":[158],"Advanced":[162],"Life":[163],"Cycle":[164],"Engineering":[165],"University":[168],"Maryland.":[170],"demonstrate":[173],"that":[174],"provides":[178],"more":[179],"SOH":[181],"than":[183],"published":[185],"methods.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
