{"id":"https://openalex.org/W4410583669","doi":"https://doi.org/10.23919/date64628.2025.10993233","title":"Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction","display_name":"Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410583669","doi":"https://doi.org/10.23919/date64628.2025.10993233"},"language":"en","primary_location":{"id":"doi:10.23919/date64628.2025.10993233","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10993233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","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/A5092903427","display_name":"Giovanni Pollo","orcid":"https://orcid.org/0009-0000-3337-1367"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanni Pollo","raw_affiliation_strings":["Politecnico di Torino,Turin,Italy,10129"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Turin,Italy,10129","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032095821","display_name":"Alessio Burrello","orcid":"https://orcid.org/0000-0002-6215-8220"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Burrello","raw_affiliation_strings":["Politecnico di Torino,Turin,Italy,10129"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Turin,Italy,10129","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108136013","display_name":"Enrico Macii","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Macii","raw_affiliation_strings":["Politecnico di Torino,Turin,Italy,10129"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Turin,Italy,10129","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024891882","display_name":"Massimo Poncino","orcid":"https://orcid.org/0000-0002-1369-9688"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Poncino","raw_affiliation_strings":["Politecnico di Torino,Turin,Italy,10129"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Turin,Italy,10129","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070652829","display_name":"Sara Vinco","orcid":"https://orcid.org/0000-0001-9666-5194"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sara Vinco","raw_affiliation_strings":["Politecnico di Torino,Turin,Italy,10129"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Turin,Italy,10129","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080843266","display_name":"Daniele Jahier Pagliari","orcid":"https://orcid.org/0000-0002-2872-7071"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Jahier Pagliari","raw_affiliation_strings":["Politecnico di Torino,Turin,Italy,10129"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Turin,Italy,10129","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5092903427"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":2.1309,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8693543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9556000232696533,"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":0.649994432926178},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.6415292024612427},{"id":"https://openalex.org/keywords/charge","display_name":"Charge (physics)","score":0.6000709533691406},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.5512946844100952},{"id":"https://openalex.org/keywords/ion","display_name":"Ion","score":0.5181214213371277},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4960351884365082},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4753665328025818},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.4159630537033081},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3971342146396637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39086270332336426},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3386301100254059},{"id":"https://openalex.org/keywords/computational-physics","display_name":"Computational physics","score":0.3252071738243103},{"id":"https://openalex.org/keywords/atomic-physics","display_name":"Atomic physics","score":0.32403695583343506},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.25950315594673157},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22209420800209045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2120155692100525},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.16889911890029907},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15274596214294434}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.649994432926178},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.6415292024612427},{"id":"https://openalex.org/C188082385","wikidata":"https://www.wikidata.org/wiki/Q73792","display_name":"Charge (physics)","level":2,"score":0.6000709533691406},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.5512946844100952},{"id":"https://openalex.org/C145148216","wikidata":"https://www.wikidata.org/wiki/Q36496","display_name":"Ion","level":2,"score":0.5181214213371277},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4960351884365082},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4753665328025818},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.4159630537033081},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3971342146396637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39086270332336426},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3386301100254059},{"id":"https://openalex.org/C30475298","wikidata":"https://www.wikidata.org/wiki/Q909554","display_name":"Computational physics","level":1,"score":0.3252071738243103},{"id":"https://openalex.org/C184779094","wikidata":"https://www.wikidata.org/wiki/Q26383","display_name":"Atomic physics","level":1,"score":0.32403695583343506},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.25950315594673157},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22209420800209045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2120155692100525},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.16889911890029907},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15274596214294434},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date64628.2025.10993233","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10993233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2034758150","https://openalex.org/W2067682030","https://openalex.org/W2158701335","https://openalex.org/W2167503549","https://openalex.org/W2519099645","https://openalex.org/W2543246343","https://openalex.org/W2776458183","https://openalex.org/W2805836477","https://openalex.org/W2885578090","https://openalex.org/W2899283552","https://openalex.org/W2951051927","https://openalex.org/W2973538758","https://openalex.org/W2992785100","https://openalex.org/W3010779281","https://openalex.org/W3048596141","https://openalex.org/W3194992794","https://openalex.org/W3200619035","https://openalex.org/W4245685577","https://openalex.org/W4283028411","https://openalex.org/W4288039037","https://openalex.org/W4292387555","https://openalex.org/W4312608182","https://openalex.org/W4386867451","https://openalex.org/W4388421072","https://openalex.org/W4389104635"],"related_works":["https://openalex.org/W1562159987","https://openalex.org/W2004734718","https://openalex.org/W3190332208","https://openalex.org/W4388623464","https://openalex.org/W3126531014","https://openalex.org/W2098124661","https://openalex.org/W2519883542","https://openalex.org/W3006423619","https://openalex.org/W3195056770","https://openalex.org/W4385625847"],"abstract_inverted_index":{"Estimating":[0],"the":[1,4,27,40,76,87,97,107,113,120,160],"evolution":[2],"of":[3,7,39,96,109],"battery's":[5],"State":[6],"Charge":[8],"(SoC)":[9],"in":[10,58],"response":[11],"to":[12,74,85,118,159],"its":[13],"usage":[14],"is":[15],"critical":[16],"for":[17,24],"implementing":[18],"effective":[19],"power":[20],"management":[21],"policies":[22],"and":[23,83,115],"ultimately":[25],"improving":[26],"system's":[28],"lifetime.":[29],"Most":[30],"existing":[31],"estimation":[32],"methods":[33],"are":[34],"either":[35],"physics-based":[36,114],"digital":[37],"twins":[38],"battery":[41,103],"or":[42],"data-driven":[43,116,145],"models":[44],"such":[45],"as":[46,93],"Neural":[47,140],"Networks":[48,141],"(NNs).":[49],"In":[50],"this":[51,59],"work,":[52],"we":[53,62,101],"propose":[54],"two":[55,70,132],"new":[56],"contributions":[57],"domain.":[60],"First,":[61],"introduce":[63],"a":[64,90,94,154],"novel":[65],"NN":[66],"architecture":[67,156],"formed":[68],"by":[69],"cascaded":[71],"branches:":[72],"one":[73,84],"predict":[75],"current":[77],"SoC":[78,88],"based":[79],"on":[80,131],"sensor":[81],"readings,":[82],"estimate":[86],"at":[89],"future":[91],"time":[92],"function":[95],"load":[98],"behavior.":[99],"Second,":[100],"integrate":[102],"dynamics":[104],"equations":[105],"into":[106],"training":[108],"our":[110,129,138],"NN,":[111],"merging":[112],"approaches,":[117],"improve":[119],"models'":[121],"generalization":[122],"over":[123],"variable":[124],"prediction":[125,151],"horizons.":[126],"We":[127],"validate":[128],"approach":[130],"publicly":[133],"accessible":[134],"datasets,":[135],"showing":[136],"that":[137],"Physics-Informed":[139],"(PINNs)":[142],"outperform":[143],"purely":[144],"ones":[146],"while":[147],"also":[148],"obtaining":[149],"superior":[150],"accuracy":[152],"with":[153,157],"smaller":[155],"respect":[158],"state-of-the-art.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}