{"id":"https://openalex.org/W3158110541","doi":"https://doi.org/10.1109/iscas51556.2021.9401541","title":"A Battery Management System with Charge Balancing and Aging Detection Based on ANN","display_name":"A Battery Management System with Charge Balancing and Aging Detection Based on ANN","publication_year":2021,"publication_date":"2021-04-27","ids":{"openalex":"https://openalex.org/W3158110541","doi":"https://doi.org/10.1109/iscas51556.2021.9401541","mag":"3158110541"},"language":"en","primary_location":{"id":"doi:10.1109/iscas51556.2021.9401541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5009352770","display_name":"Tsung-Wen Sun","orcid":"https://orcid.org/0000-0002-9750-2466"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tsung-Wen Sun","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chaiyi, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chaiyi, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037201587","display_name":"Tsung\u2010Heng Tsai","orcid":"https://orcid.org/0000-0001-6560-695X"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Heng Tsai","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chaiyi, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chaiyi, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009352770"],"corresponding_institution_ids":["https://openalex.org/I148099254"],"apc_list":null,"apc_paid":null,"fwci":0.6415,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67534913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.996399998664856,"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/T10461","display_name":"Gas Sensing Nanomaterials and Sensors","score":0.9715999960899353,"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/battery","display_name":"Battery (electricity)","score":0.7095831036567688},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.5934392213821411},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5865408778190613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5214868783950806},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4873719811439514},{"id":"https://openalex.org/keywords/inductor","display_name":"Inductor","score":0.47746777534484863},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4228993356227875},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41891559958457947},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.36996638774871826},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.358059287071228},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32249951362609863},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3028610348701477},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.2965822219848633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23116695880889893},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19636934995651245},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12596014142036438}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.7095831036567688},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.5934392213821411},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5865408778190613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5214868783950806},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4873719811439514},{"id":"https://openalex.org/C144534570","wikidata":"https://www.wikidata.org/wiki/Q5325","display_name":"Inductor","level":3,"score":0.47746777534484863},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4228993356227875},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41891559958457947},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.36996638774871826},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.358059287071228},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32249951362609863},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3028610348701477},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.2965822219848633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23116695880889893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19636934995651245},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12596014142036438},{"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/iscas51556.2021.9401541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8799999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1923273760","https://openalex.org/W2008659619","https://openalex.org/W2177359651","https://openalex.org/W2341967089","https://openalex.org/W2741674427","https://openalex.org/W2782660906","https://openalex.org/W2792705096","https://openalex.org/W2804457427","https://openalex.org/W2888116661","https://openalex.org/W2888228826","https://openalex.org/W2972585401","https://openalex.org/W2972868955","https://openalex.org/W2973538758","https://openalex.org/W2990935109","https://openalex.org/W6767839456"],"related_works":["https://openalex.org/W1562159987","https://openalex.org/W2004734718","https://openalex.org/W3190332208","https://openalex.org/W4388623464","https://openalex.org/W3126531014","https://openalex.org/W2519883542","https://openalex.org/W2098124661","https://openalex.org/W3006423619","https://openalex.org/W3195056770","https://openalex.org/W4385625847"],"abstract_inverted_index":{"A":[0,93],"battery":[1,38,74],"management":[2],"system":[3],"with":[4],"aging":[5,58],"detection":[6],"based":[7],"on":[8],"artificial":[9],"neural":[10],"network":[11],"(ANN)":[12],"for":[13,91,125],"the":[14,44,51,57,67,73,78,81,98,126],"state":[15,68],"of":[16,69,72,80,97,105],"charge":[17,34],"(SOC)":[18],"balancing":[19,35],"is":[20,47,63,100,108,129],"proposed":[21,64],"in":[22],"this":[23,106],"paper.":[24],"The":[25,102],"charger":[26,99],"adopts":[27],"a":[28],"single-inductor":[29],"multiple-output":[30],"architecture":[31],"to":[32,49,65],"achieve":[33],"among":[36],"different":[37],"cells.":[39],"In":[40],"constant":[41],"current":[42],"mode,":[43],"pulse":[45],"charging":[46,52],"utilized":[48],"improve":[50,77],"speed":[53],"and":[54,76,87],"slow":[55],"down":[56],"rate.":[59],"Moreover,":[60],"an":[61],"ANN":[62],"detect":[66],"health":[70],"(SOH)":[71],"cells":[75],"accuracy":[79],"SOC":[82,127],"estimation.":[83],"TSMC":[84],"0.35-pm":[85],"process":[86],"TensorFlow":[88],"are":[89],"used":[90],"simulations.":[92],"94%":[94],"power":[95],"efficiency":[96],"achieved.":[101],"active":[103],"area":[104],"design":[107],"1.5":[109,111],"\u00d7":[110],"mm":[112],"<sup":[113],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[114],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[115],".":[116],"Experimental":[117],"results":[118],"show":[119],"that":[120],"0.32%":[121],"root-mean":[122],"square":[123],"errors":[124],"estimation":[128],"obtained.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
