{"id":"https://openalex.org/W4386104269","doi":"https://doi.org/10.1109/metroautomotive57488.2023.10219121","title":"Machine learning and impedance spectroscopy for battery state of charge evaluation","display_name":"Machine learning and impedance spectroscopy for battery state of charge evaluation","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W4386104269","doi":"https://doi.org/10.1109/metroautomotive57488.2023.10219121"},"language":"en","primary_location":{"id":"doi:10.1109/metroautomotive57488.2023.10219121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroautomotive57488.2023.10219121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","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/A5064127473","display_name":"Mattia Stighezza","orcid":"https://orcid.org/0000-0001-8067-9073"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Mattia Stighezza","raw_affiliation_strings":["University of Parma,Department of Engineering and Architecture,Parma,Italy","Department of Engineering and Architecture, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"University of Parma,Department of Engineering and Architecture,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"Department of Engineering and Architecture, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066443434","display_name":"Roberto Ferrero","orcid":"https://orcid.org/0000-0001-7820-9021"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Roberto Ferrero","raw_affiliation_strings":["University of Liverpool,Department of Electrical Engineering and Electronics,Liverpool,United Kingdom","Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Liverpool,Department of Electrical Engineering and Electronics,Liverpool,United Kingdom","institution_ids":["https://openalex.org/I146655781"]},{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004302472","display_name":"Valentina Bianchi","orcid":"https://orcid.org/0000-0002-3035-7903"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valentina Bianchi","raw_affiliation_strings":["University of Parma,Department of Engineering and Architecture,Parma,Italy","Department of Engineering and Architecture, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"University of Parma,Department of Engineering and Architecture,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"Department of Engineering and Architecture, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020065115","display_name":"Ilaria De Munari","orcid":"https://orcid.org/0000-0002-9872-1695"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ilaria De Munari","raw_affiliation_strings":["University of Parma,Department of Engineering and Architecture,Parma,Italy","Department of Engineering and Architecture, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"University of Parma,Department of Engineering and Architecture,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"Department of Engineering and Architecture, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064127473"],"corresponding_institution_ids":["https://openalex.org/I124601658"],"apc_list":null,"apc_paid":null,"fwci":0.9201,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73263193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"29"},"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/T10018","display_name":"Advancements in Battery Materials","score":0.9991000294685364,"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/T10281","display_name":"Advanced Battery Materials and Technologies","score":0.9922999739646912,"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/support-vector-machine","display_name":"Support vector machine","score":0.7834042310714722},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6798489093780518},{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.6184647679328918},{"id":"https://openalex.org/keywords/dielectric-spectroscopy","display_name":"Dielectric spectroscopy","score":0.5571277141571045},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.5528497099876404},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.5192368626594543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45451614260673523},{"id":"https://openalex.org/keywords/state-of-health","display_name":"State of health","score":0.418049693107605},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.41011661291122437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3930259644985199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3731057345867157},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3690026104450226},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29700976610183716},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.22303909063339233},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.22297877073287964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20807409286499023},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1749453842639923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.158279687166214},{"id":"https://openalex.org/keywords/electrochemistry","display_name":"Electrochemistry","score":0.11555474996566772},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09803077578544617}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7834042310714722},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6798489093780518},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.6184647679328918},{"id":"https://openalex.org/C7040849","wikidata":"https://www.wikidata.org/wiki/Q899580","display_name":"Dielectric spectroscopy","level":4,"score":0.5571277141571045},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.5528497099876404},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.5192368626594543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45451614260673523},{"id":"https://openalex.org/C2777294910","wikidata":"https://www.wikidata.org/wiki/Q4050070","display_name":"State of health","level":4,"score":0.418049693107605},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.41011661291122437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3930259644985199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3731057345867157},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3690026104450226},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29700976610183716},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.22303909063339233},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.22297877073287964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20807409286499023},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1749453842639923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.158279687166214},{"id":"https://openalex.org/C52859227","wikidata":"https://www.wikidata.org/wiki/Q7877","display_name":"Electrochemistry","level":3,"score":0.11555474996566772},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09803077578544617},{"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/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroautomotive57488.2023.10219121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroautomotive57488.2023.10219121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2054017920","https://openalex.org/W2083936599","https://openalex.org/W2511166868","https://openalex.org/W2766437760","https://openalex.org/W2985770753","https://openalex.org/W3010779281","https://openalex.org/W3119654413","https://openalex.org/W3152426643","https://openalex.org/W3169432545","https://openalex.org/W3210931623","https://openalex.org/W4200089339","https://openalex.org/W4200446399","https://openalex.org/W4284889890","https://openalex.org/W4289515820","https://openalex.org/W4300600849","https://openalex.org/W4306293902","https://openalex.org/W6805034043","https://openalex.org/W6908211759"],"related_works":["https://openalex.org/W2068623945","https://openalex.org/W4243773385","https://openalex.org/W2050511751","https://openalex.org/W3209857138","https://openalex.org/W1998527754","https://openalex.org/W2563120467","https://openalex.org/W1670175697","https://openalex.org/W1993752355","https://openalex.org/W3134544605","https://openalex.org/W2755729630"],"abstract_inverted_index":{"The":[0,106],"Lithium-ion":[1],"batteries":[2,9],"market":[3],"is":[4,20],"rapidly":[5],"growing.":[6],"Estimating":[7],"the":[8,66,69,74,101,113,175,182,187,195,202,207,211,218,226,229],"State":[10,16],"of":[11,17,54,61,68,76,103,125,146,157,170,177,197,201,217,236],"Charge":[12],"(SOC)":[13],"and":[14,44,117,193,199],"their":[15],"Health":[18],"(SOH)":[19],"a":[21,77,126,143,155,168],"challenging":[22],"but":[23],"crucial":[24],"task,":[25],"which":[26],"Artificial":[27],"Intelligence":[28],"(AI)":[29],"techniques":[30],"can":[31],"manage":[32],"when":[33,238],"trained":[34,166],"with":[35,112,167],"appropriate":[36],"data.":[37],"Physical":[38],"measurements":[39,95],"such":[40],"as":[41,52,123],"current,":[42,115],"voltage":[43,116],"temperature":[45,118],"during":[46],"battery":[47,70,148,189],"discharge":[48,159],"are":[49],"conventionally":[50],"used":[51],"inputs":[53],"AI":[55],"algorithms":[56],"to":[57,99,173,206,223],"provide":[58],"an":[59,130,234],"estimation":[60],"SOC.":[62],"In":[63],"this":[64],"work,":[65],"effect":[67,176],"impedance":[71,94,109,179,205],"measurement":[72],"on":[73,181],"training":[75,127,192],"Support":[78],"Vector":[79],"Machine":[80],"(SVM)":[81],"has":[82,89,153],"been":[83,90,121,165],"studied.":[84],"Electrochemical":[85],"Impedance":[86],"Spectroscopy":[87],"(EIS)":[88],"employed":[91],"for":[92,129,139,191,245],"in-situ":[93],"at":[96],"different":[97,178,240],"frequencies":[98],"consider":[100],"effects":[102],"each":[104],"perturbation.":[105],"obtained":[107],"complex":[108],"values":[110],"along":[111],"measured":[114],"data,":[119],"have":[120,164],"evaluated":[122],"features":[124],"set":[128],"SVM":[131],"in":[132,151],"its":[133],"regression":[134],"form":[135],"(SVR).":[136],"To":[137],"allow":[138],"simultaneous":[140],"data":[141],"acquisition,":[142],"module":[144],"composed":[145],"16":[147],"cells":[149,244],"connected":[150],"series":[152],"undergone":[154],"total":[156],"15":[158],"cycles.":[160],"Several":[161],"SVR":[162,231],"models":[163],"variety":[169],"feature":[171],"combinations,":[172],"evaluate":[174],"information":[180],"resulting":[183],"model.":[184],"When":[185],"using":[186,239],"same":[188,230],"cell":[190],"testing,":[194],"addition":[196],"magnitude":[198],"phase":[200],"100":[203],"Hz":[204],"input":[208],"vector":[209],"decreased":[210],"Root":[212],"Mean":[213],"Square":[214],"Error":[215],"(RMSE)":[216],"estimated":[219],"SOC":[220],"from":[221],"1.34%":[222],"1.09%.":[224],"On":[225],"other":[227],"hand,":[228],"model":[232],"showed":[233],"RMSE":[235],"1.23%":[237],"(but":[241],"nominally":[242],"identical)":[243],"testing.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
