{"id":"https://openalex.org/W3186294053","doi":"https://doi.org/10.23919/acc50511.2021.9483048","title":"Data Optimization for Parameter Estimation under System Uncertainties with Application to Li-ion Battery","display_name":"Data Optimization for Parameter Estimation under System Uncertainties with Application to Li-ion Battery","publication_year":2021,"publication_date":"2021-05-25","ids":{"openalex":"https://openalex.org/W3186294053","doi":"https://doi.org/10.23919/acc50511.2021.9483048","mag":"3186294053"},"language":"en","primary_location":{"id":"doi:10.23919/acc50511.2021.9483048","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9483048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 American Control Conference (ACC)","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/A5101674090","display_name":"Qingzhi Lai","orcid":"https://orcid.org/0000-0002-7077-2132"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qingzhi Lai","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042491276","display_name":"Won Tae Joe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Won Tae Joe","raw_affiliation_strings":["LG Energy Solution, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"LG Energy Solution, Seoul, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087923578","display_name":"Geumbee Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geumbee Kim","raw_affiliation_strings":["LG Energy Solution, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"LG Energy Solution, Seoul, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043049104","display_name":"Xinfan Lin","orcid":"https://orcid.org/0000-0002-2929-8563"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinfan Lin","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101674090"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.3666,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58834144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4408","last_page":"4413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":1.0,"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":1.0,"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":0.9975000023841858,"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/T11236","display_name":"Control Systems and Identification","score":0.9961000084877014,"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/estimation-theory","display_name":"Estimation theory","score":0.6714112162590027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6283594965934753},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5151628255844116},{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.4837667942047119},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4525737464427948},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.41319432854652405},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.41005247831344604},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40492677688598633},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3551139831542969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35427728295326233},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1992746889591217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1765904724597931},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1287258267402649},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.0896955132484436}],"concepts":[{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.6714112162590027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6283594965934753},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5151628255844116},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.4837667942047119},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4525737464427948},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.41319432854652405},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.41005247831344604},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40492677688598633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3551139831542969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35427728295326233},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1992746889591217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1765904724597931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1287258267402649},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0896955132484436},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc50511.2021.9483048","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9483048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1996489621","https://openalex.org/W2025853284","https://openalex.org/W2032626450","https://openalex.org/W2042661629","https://openalex.org/W2079640253","https://openalex.org/W2105543784","https://openalex.org/W2132694307","https://openalex.org/W2164660644","https://openalex.org/W2198835934","https://openalex.org/W2479204147","https://openalex.org/W2565373783","https://openalex.org/W2594278422","https://openalex.org/W2625582093","https://openalex.org/W2791856061","https://openalex.org/W2799306742","https://openalex.org/W2891525819","https://openalex.org/W2942615573","https://openalex.org/W2972576265","https://openalex.org/W3044418800","https://openalex.org/W3046104719","https://openalex.org/W3103350657","https://openalex.org/W4255783720","https://openalex.org/W6649624595"],"related_works":["https://openalex.org/W3012088032","https://openalex.org/W2238904537","https://openalex.org/W2153568439","https://openalex.org/W1909999440","https://openalex.org/W2131248431","https://openalex.org/W1576040274","https://openalex.org/W4313681606","https://openalex.org/W2094241856","https://openalex.org/W899261626","https://openalex.org/W50782446"],"abstract_inverted_index":{"For":[0],"the":[1,7,15,31,41,48,51,62,81,84,105,115,126,133,143,159,190],"practice":[2,33],"of":[3,9,17,50,64,70,83,172,183],"system":[4,71],"identification/parameter":[5],"estimation,":[6],"quality":[8],"data":[10,20,98,138,161],"has":[11],"significant":[12],"impact":[13],"on":[14,132],"accuracy":[16,187],"results.":[18],"Therefore,":[19],"optimization,":[21],"or":[22],"optimal":[23],"experiment":[24],"design,":[25],"plays":[26],"a":[27,94,111,173],"critical":[28],"role.":[29],"Traditionally,":[30],"common":[32],"is":[34,45,167],"to":[35,47,103,157,169,180],"design":[36],"input":[37],"excitation":[38],"by":[39,119,146],"maximizing":[40],"Fisher":[42],"information,":[43],"which":[44,78,140],"related":[46],"variance":[49],"estimation":[52,66,116,171],"error.":[53],"However,":[54],"this":[55,87],"approach":[56],"suffers":[57],"from":[58],"fundamental":[59,106],"limitations,":[60],"including":[61],"assumption":[63],"no":[65],"bias":[67],"and":[68,76,93,100,122],"negligence":[69],"uncertainties":[72,124],"in":[73,186],"measurement,":[74],"model,":[75,121,177],"parameter,":[77],"severely":[79],"affect":[80],"effectiveness":[82],"method.":[85],"In":[86],"paper,":[88],"we":[89,109,135],"establish":[90],"new":[91,155],"criteria":[92,156],"novel":[95,160],"framework":[96],"for":[97,113,125],"optimization":[99,162],"uncertainty":[101],"quantification":[102],"overcome":[104],"limitations.":[107],"First,":[108],"derive":[110],"formula":[112],"quantifying":[114],"error":[117],"induced":[118],"sensor,":[120],"parameter":[123,170],"commonly":[127],"used":[128],"least-squares":[129],"algorithm.":[130],"Based":[131],"formula,":[134],"identify":[136],"desirable":[137],"structures,":[139],"could":[141],"minimize":[142],"errors":[144],"caused":[145],"each":[147],"uncertainty.":[148],"These":[149],"structures":[150],"are":[151],"then":[152],"adopted":[153],"as":[154],"formulate":[158],"framework.":[163],"The":[164],"proposed":[165],"methodology":[166],"applied":[168],"lithium-ion":[174],"battery":[175],"electrochemical":[176],"showing":[178],"up":[179],"one":[181],"order":[182],"magnitude":[184],"improvement":[185],"compared":[188],"with":[189],"traditional":[191],"Fisher-information-based":[192],"approach.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}