{"id":"https://openalex.org/W4414054871","doi":"https://doi.org/10.1109/ias55788.2024.11023788","title":"Feature Valuation Toward Improved State Estimation for Automotive Lithium-Ion Battery","display_name":"Feature Valuation Toward Improved State Estimation for Automotive Lithium-Ion Battery","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4414054871","doi":"https://doi.org/10.1109/ias55788.2024.11023788"},"language":"en","primary_location":{"id":"doi:10.1109/ias55788.2024.11023788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias55788.2024.11023788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Industry Applications Society Annual Meeting (IAS)","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/A5088386204","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0009-0001-5599-9857"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Peking University,Department of Industrial Engineering and Management,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,Department of Industrial Engineering and Management,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783880","display_name":"Jianxiao Wang","orcid":"https://orcid.org/0000-0001-9871-5263"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxiao Wang","raw_affiliation_strings":["Peking University,National Engineering Laboratory for Big Data Analysis and Applications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Laboratory for Big Data Analysis and Applications,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016491718","display_name":"Jie Song","orcid":"https://orcid.org/0000-0002-4916-8272"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Song","raw_affiliation_strings":["Peking University,Department of Industrial Engineering and Management,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,Department of Industrial Engineering and Management,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088386204"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39563875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9832000136375427,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9832000136375427,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9674000144004822,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.925000011920929,"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/battery","display_name":"Battery (electricity)","score":0.5688999891281128},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5408999919891357},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5303000211715698},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.4318000078201294},{"id":"https://openalex.org/keywords/valuation","display_name":"Valuation (finance)","score":0.40230000019073486},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.3822999894618988},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3492000102996826},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.33500000834465027}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.5688999891281128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.557200014591217},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5408999919891357},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5303000211715698},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.4318000078201294},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4047999978065491},{"id":"https://openalex.org/C186027771","wikidata":"https://www.wikidata.org/wiki/Q4008379","display_name":"Valuation (finance)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38269999623298645},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.3822999894618988},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3617999851703644},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34360000491142273},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C2779665505","wikidata":"https://www.wikidata.org/wiki/Q1780079","display_name":"Power quality","level":3,"score":0.32510000467300415},{"id":"https://openalex.org/C73916439","wikidata":"https://www.wikidata.org/wiki/Q837718","display_name":"Energy storage","level":3,"score":0.31529998779296875},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28529998660087585},{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C2989104859","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery capacity","level":4,"score":0.26989999413490295},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C2983735921","wikidata":"https://www.wikidata.org/wiki/Q1832610","display_name":"Battery storage","level":4,"score":0.2606000006198883},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25699999928474426},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias55788.2024.11023788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias55788.2024.11023788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2060889730","https://openalex.org/W2122825543","https://openalex.org/W2295598076","https://openalex.org/W2341663352","https://openalex.org/W2402961132","https://openalex.org/W2495099137","https://openalex.org/W2594530559","https://openalex.org/W2618037459","https://openalex.org/W2774791859","https://openalex.org/W2783030034","https://openalex.org/W2787894218","https://openalex.org/W3013252775","https://openalex.org/W3042713179","https://openalex.org/W3204640292","https://openalex.org/W4221110533","https://openalex.org/W4224947065","https://openalex.org/W4392714302","https://openalex.org/W4393255112","https://openalex.org/W4393906065"],"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":{"In":[0],"the":[1,22,31,69,76,112],"rapidly":[2],"evolving":[3],"fields":[4],"of":[5,24,33,73,85],"energy":[6],"storage":[7],"and":[8,48,91,96,99,106,115],"big":[9],"data,":[10],"data-driven":[11,64],"models":[12,26],"for":[13],"estimating":[14],"battery":[15,43],"states":[16],"have":[17],"become":[18],"increasingly":[19],"prevalent.":[20],"However,":[21],"accuracy":[23,109],"these":[25],"is":[27],"greatly":[28],"affected":[29],"by":[30],"quality":[32,49],"feature":[34,59],"data":[35,46],"used":[36],"in":[37,40],"training,":[38],"especially":[39],"real-world":[41],"lithium-ion":[42],"scenarios":[44],"where":[45],"diversity":[47],"significantly":[50],"vary":[51],"from":[52],"laboratory":[53],"settings.":[54],"Our":[55],"paper":[56],"introduces":[57],"a":[58,82,103],"valuation":[60],"framework":[61],"tailored":[62],"to":[63],"predictions,":[65],"focusing":[66],"on":[67,75],"evaluating":[68],"averaged":[70],"marginal":[71],"improvement":[72],"features":[74],"model's":[77],"performance.":[78],"Experimental":[79],"findings":[80],"demonstrate":[81],"prediction":[83],"error":[84],"4.07":[86],"%":[87,105,108],"with":[88],"only":[89],"Battery":[90],"Power":[92],"System,":[93,95],"HVAC":[94],"Temperature":[97],"Control":[98],"Monitoring":[100],"features,":[101],"yielding":[102],"0.8":[104],"2.2":[107],"enhancement":[110],"over":[111],"full":[113],"dataset":[114],"BPS":[116],"alone,":[117],"respectively.":[118]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}