{"id":"https://openalex.org/W4239574745","doi":"https://doi.org/10.1145/3495018.3495038","title":"A Novel Method of SOC Estimation based on Neural Network","display_name":"A Novel Method of SOC Estimation based on Neural Network","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4239574745","doi":"https://doi.org/10.1145/3495018.3495038"},"language":"en","primary_location":{"id":"doi:10.1145/3495018.3495038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3495038","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","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/A5100391357","display_name":"Jianhua Li","orcid":"https://orcid.org/0000-0002-2970-9174"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Li","raw_affiliation_strings":["Shijiazhuang TIEDAO University, China"],"affiliations":[{"raw_affiliation_string":"Shijiazhuang TIEDAO University, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069549181","display_name":"Changxia Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxia Hu","raw_affiliation_strings":["Shijiazhuang TIEDAO University, China"],"affiliations":[{"raw_affiliation_string":"Shijiazhuang TIEDAO University, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101869541","display_name":"Peng Geng","orcid":"https://orcid.org/0000-0003-0234-9380"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Geng","raw_affiliation_strings":["Shijiazhuang TIEDAO University, China"],"affiliations":[{"raw_affiliation_string":"Shijiazhuang TIEDAO University, China","institution_ids":["https://openalex.org/I90090648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100391357"],"corresponding_institution_ids":["https://openalex.org/I90090648"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29958027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"112"},"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9751999974250793,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.970300018787384,"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/overcharge","display_name":"Overcharge","score":0.8939587473869324},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.700236439704895},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.6402976512908936},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.5660246014595032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5519893169403076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48355957865715027},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4445796012878418},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.4122988283634186},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.37522679567337036},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.328697144985199},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.25183454155921936},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.208254873752594},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.14151355624198914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10800632834434509}],"concepts":[{"id":"https://openalex.org/C2775967586","wikidata":"https://www.wikidata.org/wiki/Q7113592","display_name":"Overcharge","level":4,"score":0.8939587473869324},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.700236439704895},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6402976512908936},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5660246014595032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5519893169403076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48355957865715027},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4445796012878418},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.4122988283634186},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.37522679567337036},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.328697144985199},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25183454155921936},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.208254873752594},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.14151355624198914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10800632834434509},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3495018.3495038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3495038","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6499999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1981339554","https://openalex.org/W3106655088","https://openalex.org/W3106902553","https://openalex.org/W3140618672","https://openalex.org/W3158291310","https://openalex.org/W3163870413","https://openalex.org/W3172458106","https://openalex.org/W3174267388","https://openalex.org/W3183449124","https://openalex.org/W3185021420"],"related_works":["https://openalex.org/W2373824622","https://openalex.org/W2359698997","https://openalex.org/W2509810779","https://openalex.org/W4394815378","https://openalex.org/W2978389667","https://openalex.org/W4317418751","https://openalex.org/W1562159987","https://openalex.org/W2004734718","https://openalex.org/W2070056853","https://openalex.org/W2356320678"],"abstract_inverted_index":{"Battery":[0],"is":[1,13,20,82,101,110],"the":[2,21,26,45,53,113,117,128,135],"key":[3,22],"component":[4],"of":[5,10,17,30,48,64],"electric":[6,31,54,68],"vehicles.":[7,32],"The":[8,74,123],"State":[9],"charge":[11],"(SOC)":[12],"an":[14,96],"elementary":[15],"parameter":[16],"batteries.":[18],"It":[19],"value":[23],"for":[24],"calculating":[25],"remaining":[27],"running":[28],"mileage":[29],"To":[33,92],"estimate":[34],"SOC":[35,62,79,98,129],"inaccurately":[36],"would":[37],"lead":[38,52],"to":[39,56,115,121],"batteries":[40,65],"over-discharge":[41],"or":[42],"overcharge,":[43],"affect":[44],"service":[46],"life":[47],"batteries,":[49],"and":[50,72,88,119],"even":[51],"vehicles":[55,69],"fatal":[57],"fall.":[58],"Therefore,":[59],"only":[60],"accurate":[61,84],"estimation":[63,80,99,130],"can":[66],"make":[67],"operate":[70],"safely":[71],"efficiently.":[73],"conventional":[75],"neural":[76],"network":[77],"based":[78],"method":[81,100],"not":[83],"when":[85],"terminal":[86],"current":[87,118],"voltage":[89,120],"change":[90],"rapidly.":[91],"solve":[93],"above":[94],"problem,":[95],"improved":[97,132],"introduced.":[102],"In":[103],"this":[104],"method,":[105],"a":[106],"one-hot":[107],"coding":[108],"scheme":[109],"used":[111],"as":[112],"output":[114],"map":[116],"SOC.":[122],"experiments":[124],"results":[125],"indicate":[126],"that":[127],"accuracy":[131],"by":[133],"using":[134],"proposed":[136],"method.":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
