{"id":"https://openalex.org/W4409013550","doi":"https://doi.org/10.1109/icsrs63046.2024.10927454","title":"Advanced Remaining Useful Life of Lithium-Ion Batteries Prediction with Positive and Negative Perceptron and Convolution Neural Network","display_name":"Advanced Remaining Useful Life of Lithium-Ion Batteries Prediction with Positive and Negative Perceptron and Convolution Neural Network","publication_year":2024,"publication_date":"2024-11-20","ids":{"openalex":"https://openalex.org/W4409013550","doi":"https://doi.org/10.1109/icsrs63046.2024.10927454"},"language":"en","primary_location":{"id":"doi:10.1109/icsrs63046.2024.10927454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs63046.2024.10927454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 8th International Conference on System Reliability and Safety (ICSRS)","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/A5077560442","display_name":"Gwi-Man Bak","orcid":"https://orcid.org/0000-0003-1219-2751"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Gwiman Bak","raw_affiliation_strings":["Chonnam National University,Dept. of Electrical and Semiconductor Engineering,Yeosu,Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University,Dept. of Electrical and Semiconductor Engineering,Yeosu,Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086301550","display_name":"Eunseo Lee","orcid":"https://orcid.org/0009-0007-3496-9265"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunseo Lee","raw_affiliation_strings":["Chonnam National University,Dept. of Electrical and Semiconductor Engineering,Yeosu,Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University,Dept. of Electrical and Semiconductor Engineering,Yeosu,Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082258064","display_name":"Eunseong Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunseong Lee","raw_affiliation_strings":["Chonnam National University,Dept. of Electrical and Semiconductor Engineering,Yeosu,Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University,Dept. of Electrical and Semiconductor Engineering,Yeosu,Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063159377","display_name":"Yonghyeon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yonghyeon Kim","raw_affiliation_strings":["Chonnam National University,Dept. of Electrical and Semiconductor Engineering,Yeosu,Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University,Dept. of Electrical and Semiconductor Engineering,Yeosu,Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018274633","display_name":"Sang\u2010Yong Rhee","orcid":null},"institutions":[{"id":"https://openalex.org/I71007489","display_name":"Kyungnam University","ror":"https://ror.org/037pkxm09","country_code":"KR","type":"education","lineage":["https://openalex.org/I71007489"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Yong Rhee","raw_affiliation_strings":["Kyungnam University,Dept. of Computer Engineering,Changwon,Korea"],"affiliations":[{"raw_affiliation_string":"Kyungnam University,Dept. of Computer Engineering,Changwon,Korea","institution_ids":["https://openalex.org/I71007489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085351058","display_name":"Young-Chul Bae","orcid":"https://orcid.org/0000-0003-3184-9667"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngchul Bae","raw_affiliation_strings":["Chonnam National University,Div. of Electrical and Computer Engineering,Yeosu,Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University,Div. of Electrical and Computer Engineering,Yeosu,Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077560442"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32069218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"708","last_page":"713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9904000163078308,"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":0.9904000163078308,"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":0.9247000217437744,"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/convolution","display_name":"Convolution (computer science)","score":0.7941290736198425},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6220811605453491},{"id":"https://openalex.org/keywords/lithium","display_name":"Lithium (medication)","score":0.617195188999176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5779264569282532},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5515350699424744},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5242295861244202},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49897313117980957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4945807158946991},{"id":"https://openalex.org/keywords/ion","display_name":"Ion","score":0.45467597246170044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39626938104629517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37061619758605957},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1845581829547882},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11440929770469666}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7941290736198425},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6220811605453491},{"id":"https://openalex.org/C2778541603","wikidata":"https://www.wikidata.org/wiki/Q152763","display_name":"Lithium (medication)","level":2,"score":0.617195188999176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5779264569282532},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5515350699424744},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5242295861244202},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49897313117980957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4945807158946991},{"id":"https://openalex.org/C145148216","wikidata":"https://www.wikidata.org/wiki/Q36496","display_name":"Ion","level":2,"score":0.45467597246170044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39626938104629517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37061619758605957},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1845581829547882},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11440929770469666},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsrs63046.2024.10927454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs63046.2024.10927454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 8th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2006315568","https://openalex.org/W2155832827","https://openalex.org/W2180987904","https://openalex.org/W2796568833","https://openalex.org/W2924382816","https://openalex.org/W2966153025","https://openalex.org/W3040694753","https://openalex.org/W3049495830","https://openalex.org/W3080095839","https://openalex.org/W3109435056","https://openalex.org/W3127344709","https://openalex.org/W3169854270","https://openalex.org/W3193942810","https://openalex.org/W3216627126","https://openalex.org/W4224947065","https://openalex.org/W4224983774","https://openalex.org/W4322102109","https://openalex.org/W4323033668","https://openalex.org/W4376612884","https://openalex.org/W4400006445","https://openalex.org/W4407316657","https://openalex.org/W6773950905"],"related_works":["https://openalex.org/W2964954556","https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W3192962470","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063"],"abstract_inverted_index":{"Lithium-ion":[0],"batteries":[1],"(LIBs)":[2],"play":[3],"a":[4,228],"significant":[5],"role":[6],"in":[7],"various":[8,246],"applications":[9],"such":[10],"as":[11],"electric":[12],"vehicles,":[13],"portable":[14],"electronic":[15],"devices,":[16],"and":[17,37,43,59,62,71,76,107,125,140,182,195,241,249],"renewable":[18],"energy":[19],"storage":[20],"systems.":[21],"Accurately":[22],"predicting":[23],"the":[24,35,53,69,77,89,96,101,114,143,153,159,163,169,172,176,185,188,201,238],"remaining":[25],"useful":[26],"life":[27],"(RUL)":[28],"of":[29,39,91,120,142,162,209],"LIBs":[30,97,155],"is":[31,204],"essential":[32],"for":[33,88,113,206],"enhancing":[34],"reliability":[36],"efficiency":[38],"battery":[40,247],"management":[41],"systems":[42],"establishing":[44],"optimal":[45],"maintenance":[46],"plans.":[47],"In":[48],"this":[49],"study,":[50],"we":[51],"propose":[52],"deep":[54,134,230],"learning":[55,135,231],"network":[56,65,80,220],"with":[57,166,175,217,237],"positive":[58,70],"negative":[60,72],"perceptron":[61,73],"convolution":[63,78],"neural":[64,79,219],"(DNPC)":[66],"that":[67,100,199,233],"combines":[68],"(PNC)":[74],"model":[75,165,174,178,190,203,232,240],"(CNN)":[81],"model,":[82],"which":[83,128],"have":[84],"high":[85],"prediction":[86,116,207],"accuracy":[87],"RUL":[90,115,208],"LIBs.":[92],"Experimental":[93],"results":[94,161],"using":[95,117,152,187],"dataset":[98,119],"show":[99],"root":[102],"mean":[103,108],"square":[104],"error":[105,111],"(RMSE)":[106],"absolute":[109],"percentage":[110],"(MAPE)":[112],"test":[118],"DNPC":[121,144],"are":[122,129,145],"98.86":[123],"[cycle]":[124],"7.25%,":[126],"respectively,":[127],"lower":[130,147,193],"compared":[131,148],"to":[132,149,226],"other":[133,150,167],"networks":[136],"(DNNs).":[137],"Both":[138],"RMSE":[139,181,194],"MAPE":[141],"also":[146],"studies":[151],"same":[154],"dataset.":[156],"When":[157],"analyzing":[158],"combination":[160],"PNC":[164,173,189,202,239],"models,":[168],"DNN":[170,186],"combining":[171],"LSTM":[177],"has":[179,192],"higher":[180],"MAPE,":[183],"whereas":[184],"alone":[191],"MAPE.":[196],"This":[197],"means":[198],"while":[200],"suitable":[205],"LIBs,":[210],"its":[211],"effectiveness":[212],"may":[213],"decrease":[214],"when":[215],"combined":[216],"recurrent":[218],"(RNN)-based":[221],"models.":[222],"Future":[223],"research":[224],"aims":[225],"develop":[227],"new":[229],"can":[234],"enhance":[235],"synergy":[236],"validate":[242],"their":[243],"usefulness":[244],"across":[245],"types":[248],"industrial":[250],"fields.":[251]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
