{"id":"https://openalex.org/W3136723348","doi":"https://doi.org/10.1109/isie45552.2021.9576348","title":"Data-driven Thermal Anomaly Detection for Batteries using Unsupervised Shape Clustering","display_name":"Data-driven Thermal Anomaly Detection for Batteries using Unsupervised Shape Clustering","publication_year":2021,"publication_date":"2021-06-20","ids":{"openalex":"https://openalex.org/W3136723348","doi":"https://doi.org/10.1109/isie45552.2021.9576348","mag":"3136723348"},"language":"en","primary_location":{"id":"doi:10.1109/isie45552.2021.9576348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie45552.2021.9576348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://export.arxiv.org/pdf/2103.08796","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100335649","display_name":"Xiaojun Li","orcid":"https://orcid.org/0000-0002-4380-4274"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaojun Li","raw_affiliation_strings":["Gotion Inc, Fremont, CA, USA","Gotion Inc,Fremont,CA,USA,94538"],"affiliations":[{"raw_affiliation_string":"Gotion Inc, Fremont, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Gotion Inc,Fremont,CA,USA,94538","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410888","display_name":"Jianwei Li","orcid":"https://orcid.org/0000-0002-4799-2612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianwei Li","raw_affiliation_strings":["Gotion Inc, Fremont, CA, USA","Gotion Inc,Fremont,CA,USA,94538"],"affiliations":[{"raw_affiliation_string":"Gotion Inc, Fremont, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Gotion Inc,Fremont,CA,USA,94538","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010901866","display_name":"Ali Abdollahi","orcid":"https://orcid.org/0000-0001-7908-9148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Abdollahi","raw_affiliation_strings":["Gotion Inc, Fremont, CA, USA","Gotion Inc,Fremont,CA,USA,94538"],"affiliations":[{"raw_affiliation_string":"Gotion Inc, Fremont, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Gotion Inc,Fremont,CA,USA,94538","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087382915","display_name":"Trevor Jones","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trevor Jones","raw_affiliation_strings":["Gotion Inc, Fremont, CA, USA","Gotion Inc,Fremont,CA,USA,94538"],"affiliations":[{"raw_affiliation_string":"Gotion Inc, Fremont, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Gotion Inc,Fremont,CA,USA,94538","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100335649"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02702703,"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/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":0.9873999953269958,"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/T10409","display_name":"Fuel Cells and Related Materials","score":0.9722999930381775,"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/unavailability","display_name":"Unavailability","score":0.8557904958724976},{"id":"https://openalex.org/keywords/thermal-runaway","display_name":"Thermal runaway","score":0.8065967559814453},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.777359127998352},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.7029024362564087},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.6583406925201416},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6045970320701599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5260741114616394},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.5146006345748901},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32994621992111206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24985277652740479},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23134618997573853},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.15420976281166077},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1004553735256195},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.0886894166469574},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.079932302236557}],"concepts":[{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.8557904958724976},{"id":"https://openalex.org/C72688512","wikidata":"https://www.wikidata.org/wiki/Q908282","display_name":"Thermal runaway","level":4,"score":0.8065967559814453},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.777359127998352},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.7029024362564087},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6583406925201416},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6045970320701599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5260741114616394},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.5146006345748901},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32994621992111206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24985277652740479},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23134618997573853},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.15420976281166077},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1004553735256195},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0886894166469574},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.079932302236557},{"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isie45552.2021.9576348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie45552.2021.9576348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"},{"id":"mag:3136723348","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2103.08796","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2103.08796","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.08796","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"mag:3136723348","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2103.08796","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2037537012","https://openalex.org/W2071280205","https://openalex.org/W2094111096","https://openalex.org/W2800423051","https://openalex.org/W2805771039","https://openalex.org/W2909741517","https://openalex.org/W2910790589","https://openalex.org/W3016438359","https://openalex.org/W3025731229","https://openalex.org/W3039352388","https://openalex.org/W3040708579","https://openalex.org/W3057127347","https://openalex.org/W3088523737","https://openalex.org/W6779988842"],"related_works":["https://openalex.org/W2914369592","https://openalex.org/W3191227458","https://openalex.org/W2048657040","https://openalex.org/W3185546409","https://openalex.org/W3209382832","https://openalex.org/W3185099291","https://openalex.org/W2969882235","https://openalex.org/W2003000445","https://openalex.org/W2535762059","https://openalex.org/W2921318411","https://openalex.org/W2189024669","https://openalex.org/W3101046066","https://openalex.org/W2015491771","https://openalex.org/W3207949921","https://openalex.org/W3195023262","https://openalex.org/W2563338596","https://openalex.org/W2783665199","https://openalex.org/W2979835828","https://openalex.org/W2551502590","https://openalex.org/W2756950148"],"abstract_inverted_index":{"For":[0],"electric":[1],"vehicles":[2],"(EV)":[3],"and":[4,48,51,107,134],"energy":[5],"storage":[6],"(ES)":[7],"batteries,":[8],"thermal":[9,37,62,69],"runaway":[10],"is":[11,85,102],"a":[12,56],"critical":[13],"issue":[14],"as":[15],"it":[16],"can":[17,28,126,137],"lead":[18],"to":[19,59,104],"uncontrollable":[20],"fires":[21],"or":[22,95],"even":[23],"explosions.":[24],"Thermal":[25],"anomaly":[26,63],"detection":[27],"identify":[29],"problematic":[30],"battery":[31,52,61],"packs":[32],"that":[33],"may":[34],"eventually":[35],"undergo":[36],"runaway.":[38],"However,":[39],"there":[40],"are":[41,77],"common":[42],"challenges":[43],"like":[44],"data":[45,105,111],"unavailability,":[46],"environment":[47],"configuration":[49],"variations,":[50],"aging.":[53],"We":[54],"propose":[55],"data-driven":[57,97],"method":[58,101,123],"detect":[60,138],"based":[64],"on":[65,72],"comparing":[66],"shape-similarity":[67],"between":[68],"measurements.":[70],"Based":[71],"their":[73],"shapes,":[74],"the":[75,91,99,117,122,131,142],"measurements":[76],"continuously":[78],"being":[79],"grouped":[80],"into":[81],"different":[82,113],"clusters.":[83,92],"Anomaly":[84],"detected":[86],"by":[87],"monitoring":[88],"deviations":[89],"within":[90],"Unlike":[93],"model-based":[94],"other":[96],"methods,":[98],"proposed":[100],"robust":[103],"loss":[106],"requires":[108],"minimal":[109],"reference":[110],"for":[112],"pack":[114],"configurations.":[115],"As":[116],"initial":[118],"experimental":[119],"results":[120],"show,":[121],"not":[124],"only":[125],"be":[127],"more":[128],"accurate":[129],"than":[130],"onboard":[132],"BMS":[133],"but":[135],"also":[136],"unforeseen":[139],"anomalies":[140],"at":[141],"early":[143],"stage.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
