{"id":"https://openalex.org/W2824070636","doi":"https://doi.org/10.1109/i2mtc.2018.8409521","title":"Capacity fading detection of rectangular LiFePO&lt;inf&gt;4&lt;/inf&gt; battery by tomographic image","display_name":"Capacity fading detection of rectangular LiFePO&lt;inf&gt;4&lt;/inf&gt; battery by tomographic image","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2824070636","doi":"https://doi.org/10.1109/i2mtc.2018.8409521","mag":"2824070636"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2018.8409521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5101501933","display_name":"Lifu Li","orcid":"https://orcid.org/0000-0003-2162-2784"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lifu Li","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100330731","display_name":"Xiaofan Zhang","orcid":"https://orcid.org/0000-0001-5618-7554"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Zhang","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101501933"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.1475,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52186221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9991999864578247,"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/T11128","display_name":"Transition Metal Oxide Nanomaterials","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.9481953382492065},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.7557268142700195},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.6265076398849487},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4797290861606598},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.47470206022262573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.428948312997818},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4028586745262146},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.36510998010635376},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3583982586860657},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.32330644130706787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29358285665512085},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2590542435646057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23017823696136475},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22280976176261902},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18141239881515503},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1263333261013031},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.09754526615142822}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.9481953382492065},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.7557268142700195},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.6265076398849487},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4797290861606598},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.47470206022262573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.428948312997818},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4028586745262146},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.36510998010635376},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3583982586860657},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.32330644130706787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29358285665512085},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2590542435646057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23017823696136475},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22280976176261902},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18141239881515503},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1263333261013031},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.09754526615142822},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2018.8409521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W626199672","https://openalex.org/W1553966825","https://openalex.org/W1972116054","https://openalex.org/W1995368336","https://openalex.org/W2042833374","https://openalex.org/W2062063010","https://openalex.org/W2063694502","https://openalex.org/W2077937117","https://openalex.org/W2234171888","https://openalex.org/W2330199530","https://openalex.org/W2460352574","https://openalex.org/W2562147693","https://openalex.org/W2734685623","https://openalex.org/W2768146736","https://openalex.org/W2943600037","https://openalex.org/W4229784198"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2027568561","https://openalex.org/W1865172210","https://openalex.org/W2127563499","https://openalex.org/W1503152075","https://openalex.org/W2030191005","https://openalex.org/W2790025453","https://openalex.org/W1521521035"],"abstract_inverted_index":{"Detection":[0],"of":[1,26,38,45,48,55,81,115,125],"the":[2,15,24,32,46,89,94,97,102,113,122,129,134,136],"power":[3],"battery":[4,27,39,62,82],"capacity":[5,40,85,123,137,155],"and":[6,20,29,51,101,150],"its":[7],"fading":[8,41,124],"is":[9,42,69,76,106,119,146],"still":[10],"a":[11,147],"problem,":[12],"owing":[13],"to":[14,121,153],"commonly":[16],"test":[17],"method":[18,145,152],"time-consuming":[19],"destructively.":[21],"Based":[22],"on":[23],"principle":[25],"electrochemistry":[28],"computer":[30],"tomography,":[31],"X-ray":[33,140],"computed":[34,141],"tomography":[35,79,142],"image":[36,80,143],"detection":[37,144],"proposed":[43],"because":[44],"advantage":[47],"quick,":[49],"accurate":[50],"non-destructive.":[52],"A":[53],"kind":[54],"typical":[56],"rectangular":[57],"LiFePO":[58],"<sub":[59],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">4</sub>":[61],"which":[63],"used":[64],"in":[65,83],"pure":[66],"electric":[67],"vehicle":[68],"experiment":[70],"object.":[71],"The":[72,108,127,139],"structure":[73,103],"morphological":[74,104],"change":[75],"extracted":[77],"by":[78],"different":[84],"fading.":[86,138,156],"Combining":[87],"with":[88],"traditional":[90],"electrochemical":[91,98],"performance":[92,99],"detection,":[93],"relationship":[95],"between":[96],"parameter":[100,105],"studied.":[107],"experimental":[109],"result":[110],"shows":[111],"that":[112],"variation":[114],"active":[116,130],"material's":[117,131],"area":[118,132],"relate":[120],"battery.":[126],"more":[128,135],"decrease,":[133],"practical,":[148],"quickly,":[149],"non-destructively":[151],"detect":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}