{"id":"https://openalex.org/W4407351664","doi":"https://doi.org/10.1109/tii.2025.3534440","title":"Attention-Enhanced Deep Reinforcement Learning for Fast Charging Optimization of Lithium-Ion Batteries With Incomplete Observations","display_name":"Attention-Enhanced Deep Reinforcement Learning for Fast Charging Optimization of Lithium-Ion Batteries With Incomplete Observations","publication_year":2025,"publication_date":"2025-02-10","ids":{"openalex":"https://openalex.org/W4407351664","doi":"https://doi.org/10.1109/tii.2025.3534440"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3534440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3534440","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5034045887","display_name":"Xizhe Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xizhe Wang","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038268580","display_name":"Benben Jiang","orcid":"https://orcid.org/0000-0003-1288-3798"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benben Jiang","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034045887"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.7724,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68302712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"21","issue":"5","first_page":"3768","last_page":"3775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9839000105857849,"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/T12288","display_name":"Optimization and Search Problems","score":0.9422000050544739,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7796793580055237},{"id":"https://openalex.org/keywords/lithium","display_name":"Lithium (medication)","score":0.6122996807098389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4986379146575928},{"id":"https://openalex.org/keywords/ion","display_name":"Ion","score":0.4456082284450531},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4034605920314789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3276689648628235},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.17216083407402039}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7796793580055237},{"id":"https://openalex.org/C2778541603","wikidata":"https://www.wikidata.org/wiki/Q152763","display_name":"Lithium (medication)","level":2,"score":0.6122996807098389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4986379146575928},{"id":"https://openalex.org/C145148216","wikidata":"https://www.wikidata.org/wiki/Q36496","display_name":"Ion","level":2,"score":0.4456082284450531},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4034605920314789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3276689648628235},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.17216083407402039},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3534440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3534440","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2656490645","display_name":null,"funder_award_id":"BNR2023RC01008","funder_id":"https://openalex.org/F4320329777","funder_display_name":"Beijing National Research Center For Information Science And Technology"},{"id":"https://openalex.org/G3569504096","display_name":null,"funder_award_id":"62273197","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4126175478","display_name":null,"funder_award_id":"L233027","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320329777","display_name":"Beijing National Research Center For Information Science And Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2092950713","https://openalex.org/W2123452826","https://openalex.org/W2148602279","https://openalex.org/W2169518199","https://openalex.org/W2337221380","https://openalex.org/W2904850496","https://openalex.org/W2924382816","https://openalex.org/W2969601893","https://openalex.org/W2987539388","https://openalex.org/W3007217854","https://openalex.org/W3090539002","https://openalex.org/W3115597439","https://openalex.org/W3139510216","https://openalex.org/W3193448897","https://openalex.org/W3194373144","https://openalex.org/W3204523122","https://openalex.org/W3214833090","https://openalex.org/W4200140570","https://openalex.org/W4205626718","https://openalex.org/W4214717370","https://openalex.org/W4285731766","https://openalex.org/W4302423542","https://openalex.org/W4327522256","https://openalex.org/W4375950205","https://openalex.org/W4385245566","https://openalex.org/W4386568136","https://openalex.org/W4387455033","https://openalex.org/W4391991656","https://openalex.org/W6683204974","https://openalex.org/W6684205842"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4404995717","https://openalex.org/W2016187641","https://openalex.org/W4404725684","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058","https://openalex.org/W4405893659","https://openalex.org/W4404784341"],"abstract_inverted_index":{"Optimizing":[0],"the":[1,19,51,55,67,93,123,142,152,165],"fast-charging":[2,96],"of":[3,40,66,80,95,122,167],"lithium-ion":[4],"batteries":[5],"to":[6,87,108,116],"minimize":[7],"charging":[8,36,145,150,158],"time":[9],"while":[10],"limiting":[11],"battery":[12,20,42,111,118,134],"degradation":[13],"is":[14,73,104,127],"a":[15,47,100,130],"crucial":[16],"challenge":[17],"for":[18,34,76],"community.":[21],"In":[22,98],"this":[23],"article,":[24],"we":[25],"propose":[26],"an":[27],"attention-enhanced":[28],"deep":[29],"reinforcement":[30],"learning":[31],"(AtDRL)":[32],"approach":[33,126,155],"fast":[35],"optimization":[37],"under":[38,164],"conditions":[39],"partial":[41],"states":[43],"observable.":[44],"By":[45],"incorporating":[46],"self-attention":[48],"mechanism":[49],"within":[50],"actor-critic":[52],"network":[53],"architecture,":[54],"AtDRL":[56,125,154],"model":[57],"can":[58],"dynamically":[59],"shift":[60],"its":[61],"focus":[62],"across":[63],"different":[64],"parts":[65],"input":[68,78],"sequence":[69],"during":[70],"prediction.":[71],"This":[72],"particularly":[74],"advantageous":[75],"processing":[77],"sequences":[79],"varying":[81],"lengths":[82],"and":[83,114,147,160],"utilizing":[84],"incomplete":[85,168],"observations":[86],"improve":[88],"sample":[89,162],"efficiency,":[90],"thereby":[91],"improving":[92],"performance":[94,159],"optimization.":[97],"addition,":[99],"crafted":[101],"reward":[102],"function":[103],"further":[105],"put":[106],"forward":[107],"meticulously":[109],"control":[110],"current,":[112],"temperature,":[113],"voltage":[115],"mitigate":[117],"degradation.":[119],"The":[120,136],"effectiveness":[121],"proposed":[124,153],"demonstrated":[128],"on":[129],"porous":[131],"electrode":[132],"theory-based":[133],"simulator.":[135],"results":[137],"show":[138],"that,":[139],"compared":[140],"with":[141],"conventional":[143],"DRL-based":[144],"method":[146],"Bayesian":[148],"optimization-based":[149],"method,":[151],"possesses":[156],"enhanced":[157],"higher":[161],"efficiency":[163],"scenarios":[166],"state":[169],"observations.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
