{"id":"https://openalex.org/W7164318970","doi":"https://doi.org/10.48550/arxiv.2606.12000","title":"Physics-guided residual Kalman learning for state-of-charge estimation of lithium iron phosphate batteries","display_name":"Physics-guided residual Kalman learning for state-of-charge estimation of lithium iron phosphate batteries","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164318970","doi":"https://doi.org/10.48550/arxiv.2606.12000"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.12000","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12000","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.12000","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138402459","display_name":"Feng Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138426669","display_name":"Luis D. Couto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Couto, Luis D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076960719","display_name":"Khiem Trad","orcid":"https://orcid.org/0000-0002-4959-2006"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trad, Khiem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138457237","display_name":"Ru Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Ru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113345528","display_name":"GUANGDI HU","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Guangdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5028073893","display_name":"Mohammadhosein Safari","orcid":"https://orcid.org/0000-0003-0633-731X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Safari, Mohammadhosein","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9966999888420105,"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":0.9966999888420105,"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/T10281","display_name":"Advanced Battery Materials and Technologies","score":0.0010999999940395355,"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"}},{"id":"https://openalex.org/T10018","display_name":"Advancements in Battery Materials","score":0.00039999998989515007,"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/initialization","display_name":"Initialization","score":0.7702999711036682},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7321000099182129},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.6500999927520752},{"id":"https://openalex.org/keywords/lithium-iron-phosphate","display_name":"Lithium iron phosphate","score":0.6281999945640564},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6162999868392944},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.614799976348877},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.566100001335144},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5404999852180481}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7702999711036682},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7321000099182129},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.6500999927520752},{"id":"https://openalex.org/C2779179610","wikidata":"https://www.wikidata.org/wiki/Q3042400","display_name":"Lithium iron phosphate","level":4,"score":0.6281999945640564},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6162999868392944},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.614799976348877},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.566100001335144},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5404999852180481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5149000287055969},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.39070001244544983},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.35269999504089355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.310699999332428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30790001153945923},{"id":"https://openalex.org/C2779004117","wikidata":"https://www.wikidata.org/wiki/Q899079","display_name":"Lithium battery","level":4,"score":0.30559998750686646},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.29019999504089355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28790000081062317},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27790001034736633},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.12000","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12000","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.12000","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12000","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7321231365203857,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"state":[1,55,164],"of":[2,6,15,145],"charge":[3],"(SOC)":[4],"estimation":[5,174],"lithium":[7],"iron":[8],"phosphate":[9],"(LFP)":[10],"batteries":[11],"remains":[12],"challenging":[13],"because":[14],"their":[16],"flat":[17],"open-circuit-voltage":[18],"(OCV)-SOC":[19],"characteristics,":[20],"temperature-dependent":[21],"dynamics,":[22],"and":[23,73,98,110,119,170,188,196],"sensitivity":[24],"to":[25,94,102,149,155],"initialization":[26,99],"errors.":[27],"Here,":[28],"we":[29],"propose":[30],"a":[31,44,58,81,137,150,190],"physics-guided":[32],"residual":[33,63,168],"Kalman":[34,48],"learning":[35,169],"(PRKL)":[36],"framework":[37,77],"for":[38,117,127,175,192],"electrochemical-model-based":[39],"SOC":[40,173],"estimation.":[41],"PRKL":[42,135],"combines":[43],"control-oriented":[45],"single-particle-model-based":[46],"extended":[47],"filter":[49],"(EKF),":[50],"which":[51],"provides":[52,189],"recursive":[53,172],"physical":[54],"propagation,":[56],"with":[57],"gated":[59],"recurrent":[60],"unit":[61],"(GRU)":[62],"learner":[64],"that":[65,162],"compensates":[66],"structured":[67],"EKF":[68],"errors":[69],"using":[70],"electrochemical":[71,163],"states":[72],"measurement":[74],"features.":[75],"The":[76,178],"is":[78],"evaluated":[79],"on":[80],"public":[82],"graphite/LFP":[83],"dataset":[84,187],"covering":[85],"three":[86],"dynamic":[87,106],"drive":[88],"cycles,":[89],"eight":[90],"temperatures":[91],"from":[92],"-10":[93],"50":[95],"degrees":[96],"C,":[97],"offsets":[100],"up":[101],"20":[103],"percent.":[104],"Using":[105],"stress":[107],"test":[108,123],"(DST)":[109],"federal":[111,122],"urban":[112],"driving":[113],"schedule":[114],"(FUDS)":[115],"cycles":[116],"training":[118],"the":[120,131,156,185],"supplemental":[121],"procedure":[124],"(US06)":[125],"cycle":[126],"cross-profile":[128,182],"testing":[129],"within":[130,184],"same":[132],"cell":[133],"dataset,":[134],"achieves":[136],"global":[138],"average":[139],"root":[140],"mean":[141],"square":[142],"error":[143],"(RMSE)":[144],"1.19":[146],"percent,":[147],"corresponding":[148],"77":[151],"percent":[152],"reduction":[153],"relative":[154],"physics-only":[157],"EKF.":[158],"These":[159],"results":[160],"show":[161],"information":[165],"can":[166],"guide":[167],"improve":[171],"LFP":[176],"batteries.":[177],"present":[179],"validation":[180],"supports":[181],"robustness":[183],"studied":[186],"basis":[191],"future":[193],"cross-cell,":[194],"ageing-aware,":[195],"embedded-platform":[197],"validation.":[198]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-12T00:00:00"}