{"id":"https://openalex.org/W4388469956","doi":"https://doi.org/10.1109/tnnls.2023.3329368","title":"Inherently Interpretable Physics-Informed Neural Network for Battery Modeling and Prognosis","display_name":"Inherently Interpretable Physics-Informed Neural Network for Battery Modeling and Prognosis","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4388469956","doi":"https://doi.org/10.1109/tnnls.2023.3329368","pmid":"https://pubmed.ncbi.nlm.nih.gov/37934643"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3329368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3329368","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5004595455","display_name":"Fujin Wang","orcid":"https://orcid.org/0000-0003-0236-3705"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fujin Wang","raw_affiliation_strings":["National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005963387","display_name":"Quanquan Zhi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166468","display_name":"Beijing Aerospace Flight Control Center","ror":"https://ror.org/007a14354","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210166468"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanquan Zhi","raw_affiliation_strings":["Beijing Aerospace Control Centre, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Aerospace Control Centre, Beijing, China","institution_ids":["https://openalex.org/I4210166468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081020964","display_name":"Zhibin Zhao","orcid":"https://orcid.org/0000-0003-4180-7137"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Zhao","raw_affiliation_strings":["National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049905007","display_name":"Zhi Zhai","orcid":"https://orcid.org/0000-0003-1746-260X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Zhai","raw_affiliation_strings":["National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024783386","display_name":"Yingkai Liu","orcid":"https://orcid.org/0009-0001-9064-500X"},"institutions":[{"id":"https://openalex.org/I4210166468","display_name":"Beijing Aerospace Flight Control Center","ror":"https://ror.org/007a14354","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210166468"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingkai Liu","raw_affiliation_strings":["Beijing Aerospace Control Centre, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Aerospace Control Centre, Beijing, China","institution_ids":["https://openalex.org/I4210166468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038637085","display_name":"Huan Xi","orcid":"https://orcid.org/0000-0003-2255-6205"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Xi","raw_affiliation_strings":["Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education, School of Energy and Power Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Energy and Power Engineering, Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education, School of Energy and Power Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Energy and Power Engineering, Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033308608","display_name":"Shibin Wang","orcid":"https://orcid.org/0000-0003-4923-0491"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibin Wang","raw_affiliation_strings":["National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779843","display_name":"Xuefeng Chen","orcid":"https://orcid.org/0000-0002-0130-3172"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Chen","raw_affiliation_strings":["National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Aerospace Power System and Plasma Technology and the School of Mechanical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5004595455"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":5.6837,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.9684965,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"1","first_page":"1145","last_page":"1159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9751999974250793,"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/T12676","display_name":"Machine Learning and ELM","score":0.9627000093460083,"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/battery","display_name":"Battery (electricity)","score":0.7596050500869751},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7096548080444336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.638322651386261},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.6292950510978699},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5828632116317749},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5698458552360535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46633028984069824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44435474276542664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3317999839782715}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.7596050500869751},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7096548080444336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638322651386261},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6292950510978699},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5828632116317749},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5698458552360535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46633028984069824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44435474276542664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3317999839782715},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3329368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3329368","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37934643","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37934643","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1735827881","display_name":null,"funder_award_id":"52122504","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1768865586","display_name":null,"funder_award_id":"92270111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2422760890","display_name":null,"funder_award_id":"2021TQ0263","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3305277240","display_name":null,"funder_award_id":"2021M692557","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7651360058","display_name":null,"funder_award_id":"52105116","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W39129164","https://openalex.org/W242667023","https://openalex.org/W332053688","https://openalex.org/W2037902348","https://openalex.org/W2105480230","https://openalex.org/W2169518199","https://openalex.org/W2417460170","https://openalex.org/W2510611986","https://openalex.org/W2623184231","https://openalex.org/W2752222064","https://openalex.org/W2770378831","https://openalex.org/W2796568833","https://openalex.org/W2808282626","https://openalex.org/W2886544225","https://openalex.org/W2895587252","https://openalex.org/W2897575180","https://openalex.org/W2899283552","https://openalex.org/W2918945040","https://openalex.org/W2929005099","https://openalex.org/W2944921051","https://openalex.org/W2958089299","https://openalex.org/W2969616191","https://openalex.org/W2974691632","https://openalex.org/W2983762108","https://openalex.org/W3009652674","https://openalex.org/W3011506319","https://openalex.org/W3036494826","https://openalex.org/W3111531074","https://openalex.org/W3135698256","https://openalex.org/W3152851547","https://openalex.org/W3163993681","https://openalex.org/W3178318699","https://openalex.org/W3192495122","https://openalex.org/W3201108028","https://openalex.org/W4200410278","https://openalex.org/W4205754583","https://openalex.org/W4206462580","https://openalex.org/W4225575048","https://openalex.org/W4280604784","https://openalex.org/W4281695775","https://openalex.org/W4281723587","https://openalex.org/W4282914201","https://openalex.org/W4282917039","https://openalex.org/W4283028411","https://openalex.org/W4283446421","https://openalex.org/W4293379156","https://openalex.org/W4293663020","https://openalex.org/W4296558740","https://openalex.org/W4306406081","https://openalex.org/W4312220502","https://openalex.org/W6752163676","https://openalex.org/W6839184218","https://openalex.org/W6846085374"],"related_works":["https://openalex.org/W1501776718","https://openalex.org/W2615136228","https://openalex.org/W657108774","https://openalex.org/W2390192952","https://openalex.org/W2480620430","https://openalex.org/W2373296418","https://openalex.org/W1515761309","https://openalex.org/W4301400761","https://openalex.org/W3213254966","https://openalex.org/W2377265617"],"abstract_inverted_index":{"Lithium-ion":[0],"batteries":[1],"are":[2,12,34,57,74,212],"widely":[3],"used":[4],"in":[5],"modern":[6],"society.":[7],"Accurate":[8],"modeling":[9,97],"and":[10,30,54,71,98,133,153,158,172,217,225],"prognosis":[11],"fundamental":[13],"to":[14,36,63,68,76,103],"achieving":[15],"reliable":[16],"operation":[17],"of":[18,51,107,209],"lithium-ion":[19],"batteries.":[20],"Accurately":[21],"predicting":[22],"the":[23,55,72,105,111,117,130,134,141,146,162,173,206],"end-of-discharge":[24],"(EOD)":[25],"is":[26,120,136,178],"critical":[27,37],"for":[28,95,170],"operations":[29],"decision-making":[31],"when":[32],"they":[33],"deployed":[35],"missions.":[38],"Existing":[39],"data-driven":[40],"methods":[41,61],"have":[42],"large":[43,49],"model":[44,114,135],"parameters,":[45],"which":[46],"require":[47],"a":[48,85,197],"amount":[50],"labeled":[52],"data":[53,224],"models":[56,73],"not":[58],"interpretable.":[59,138],"Model-based":[60],"need":[62],"know":[64],"many":[65],"parameters":[66],"related":[67],"battery":[69,91,96],"design,":[70],"difficult":[75],"solve.":[77],"To":[78,139],"bridge":[79],"these":[80],"gaps,":[81],"this":[82],"study":[83],"proposes":[84],"physics-informed":[86],"neural":[87,92,204],"network":[88,93],"(PINN),":[89],"called":[90],"(BattNN),":[94],"prognosis.":[99],"Specifically,":[100],"we":[101,144],"propose":[102],"design":[104],"structure":[106],"BattNN":[108,119,164,211],"based":[109],"on":[110,183,219],"equivalent":[112],"circuit":[113],"(ECM).":[115],"Therefore,":[116],"entire":[118],"completely":[121],"constrained":[122],"by":[123,214],"physics.":[124],"Its":[125],"forward":[126],"propagation":[127],"process":[128],"follows":[129],"physical":[131],"laws,":[132],"inherently":[137],"validate":[140],"proposed":[142,163],"method,":[143],"conduct":[145],"discharge":[147],"experiments":[148,159],"under":[149],"random":[150],"loading":[151],"profiles":[152],"develop":[154],"our":[155,188,210],"dataset.":[156],"Analysis":[157],"show":[160,186],"that":[161,187],"only":[165,196],"needs":[166],"approximately":[167],"30":[168],"samples":[169],"training,":[171],"average":[174],"required":[175],"training":[176],"time":[177],"21.5":[179],"s.":[180],"Experimental":[181],"results":[182],"three":[184,220],"datasets":[185],"method":[189],"can":[190],"achieve":[191],"high":[192],"prediction":[193,207],"accuracy":[194],"with":[195,202],"few":[198],"learnable":[199],"parameters.":[200],"Compared":[201],"other":[203],"networks,":[205],"MAEs":[208],"reduced":[213],"77.1%,":[215],"67.4%,":[216],"75.0%":[218],"datasets,":[221],"respectively.":[222],"Our":[223],"code":[226],"will":[227],"be":[228],"available":[229],"at:":[230],"https://github.com/wang-fujin/BattNN.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":9}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
