{"id":"https://openalex.org/W2969332118","doi":"https://doi.org/10.1002/er.4820","title":"Data\u2010driven lithium\u2010ion battery states estimation using neural networks and particle filtering","display_name":"Data\u2010driven lithium\u2010ion battery states estimation using neural networks and particle filtering","publication_year":2019,"publication_date":"2019-08-20","ids":{"openalex":"https://openalex.org/W2969332118","doi":"https://doi.org/10.1002/er.4820","mag":"2969332118"},"language":"en","primary_location":{"id":"doi:10.1002/er.4820","doi":"https://doi.org/10.1002/er.4820","is_oa":true,"landing_page_url":"https://doi.org/10.1002/er.4820","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/er.4820","source":{"id":"https://openalex.org/S32776067","display_name":"International Journal of Energy Research","issn_l":"0363-907X","issn":["0363-907X","1099-114X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Energy Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/er.4820","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018109582","display_name":"Chenbin Zhang","orcid":"https://orcid.org/0000-0002-7879-9583","observed_orcids":["https://orcid.org/0000-0002-7879-9583"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenbin Zhang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7879-9583","affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086167119","display_name":"Yayun Zhu","orcid":"https://orcid.org/0000-0002-2934-8831","observed_orcids":["https://orcid.org/0000-0002-2934-8831"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yayun Zhu","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023704628","display_name":"Guangzhong Dong","orcid":"https://orcid.org/0000-0002-0757-8580","observed_orcids":["https://orcid.org/0000-0002-0757-8580"]},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Guangzhong Dong","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-0757-8580","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040644418","display_name":"Jingwen Wei","orcid":"https://orcid.org/0000-0001-9185-3604","observed_orcids":["https://orcid.org/0000-0001-9185-3604","https://orcid.org/0009-0007-5653-9637"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingwen Wei","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023704628","https://openalex.org/A5040644418"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I66862912"],"apc_list":{"value":4000,"currency":"USD","value_usd":4000},"apc_paid":null,"fwci":6.1784,"has_fulltext":true,"cited_by_count":89,"citation_normalized_percentile":{"value":0.96274929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Battery Modeling and Management","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":"Battery Modeling and Management","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":0.0,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lithium-ion-batteries","display_name":"lithium-ion batteries","score":0.949999988079071},{"id":"https://openalex.org/keywords/state-of-charge-estimation","display_name":"state of charge estimation","score":0.9539999961853027},{"id":"https://openalex.org/keywords/state-of-health-estimation","display_name":"state of health estimation","score":0.996999979019165},{"id":"https://openalex.org/keywords/battery-management-systems","display_name":"battery management systems","score":0.8600000143051147},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9359999895095825},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.9279999732971191},{"id":"https://openalex.org/keywords/particle-filtering","display_name":"particle filter","score":0.9850000143051147},{"id":"https://openalex.org/keywords/internal-resistance-estimation","display_name":"internal resistance estimation","score":0.7979999780654907},{"id":"https://openalex.org/keywords/data-driven-state-estimation","display_name":"data-driven state estimation","score":0.6489999890327454},{"id":"https://openalex.org/keywords/electric-vehicles","display_name":"electric vehicles","score":0.8140000104904175}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.7902533411979675},{"id":"https://openalex.org/C106945098","wikidata":"https://www.wikidata.org/wiki/Q2527701","display_name":"Internal resistance","level":4,"score":0.7181730270385742},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7057135105133057},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6898561716079712},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.6850498914718628},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5979076027870178},{"id":"https://openalex.org/C2777294910","wikidata":"https://www.wikidata.org/wiki/Q4050070","display_name":"State of health","level":4,"score":0.5516847968101501},{"id":"https://openalex.org/C2779197387","wikidata":"https://www.wikidata.org/wiki/Q2822895","display_name":"Lithium-ion battery","level":4,"score":0.5450714826583862},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5429834723472595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4557594060897827},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4144439995288849},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3803907036781311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25036901235580444},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.17981433868408203},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.16398349404335022},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1333695650100708},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.11376377940177917},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09852263331413269},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/er.4820","doi":"https://doi.org/10.1002/er.4820","is_oa":true,"landing_page_url":"https://doi.org/10.1002/er.4820","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/er.4820","source":{"id":"https://openalex.org/S32776067","display_name":"International Journal of Energy Research","issn_l":"0363-907X","issn":["0363-907X","1099-114X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Energy Research","raw_type":"journal-article"},{"id":"pmh:oai:research.chalmers.se:513108","doi":null,"is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/513108","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":{"id":"doi:10.1002/er.4820","doi":"https://doi.org/10.1002/er.4820","is_oa":true,"landing_page_url":"https://doi.org/10.1002/er.4820","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/er.4820","source":{"id":"https://openalex.org/S32776067","display_name":"International Journal of Energy Research","issn_l":"0363-907X","issn":["0363-907X","1099-114X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Energy Research","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.75,"id":"https://metadata.un.org/sdg/7"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2969332118.pdf","grobid_xml":"https://content.openalex.org/works/W2969332118.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W569610087","https://openalex.org/W1598796236","https://openalex.org/W1917365787","https://openalex.org/W1982949309","https://openalex.org/W2000885517","https://openalex.org/W2028874516","https://openalex.org/W2038012452","https://openalex.org/W2045317586","https://openalex.org/W2053819957","https://openalex.org/W2064675550","https://openalex.org/W2107878631","https://openalex.org/W2164514453","https://openalex.org/W2293231618","https://openalex.org/W2338688115","https://openalex.org/W2580490948","https://openalex.org/W2613380040","https://openalex.org/W2624661965","https://openalex.org/W2748329381","https://openalex.org/W2750389295","https://openalex.org/W2773450122","https://openalex.org/W2774327138","https://openalex.org/W2774791859","https://openalex.org/W2776458183","https://openalex.org/W2783030034","https://openalex.org/W2790625295","https://openalex.org/W2791450097","https://openalex.org/W2792140610","https://openalex.org/W2800598693","https://openalex.org/W2885637246","https://openalex.org/W2909161607","https://openalex.org/W2936518938","https://openalex.org/W2936765461","https://openalex.org/W2941419825","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W1145556568","https://openalex.org/W2999725011","https://openalex.org/W4375854503","https://openalex.org/W2996560030","https://openalex.org/W4285411398","https://openalex.org/W2780082633","https://openalex.org/W7129708713","https://openalex.org/W3134544605","https://openalex.org/W3086032072","https://openalex.org/W2984481330"],"abstract_inverted_index":{"The":[0,144],"state":[1,5,106],"of":[2,6,11,16,26,33,79,94,107,116,125,141,146],"charge":[3,108],"and":[4,29,52,76,86,162],"health":[7],"estimations":[8],"are":[9,22],"two":[10],"the":[12,23,69,91,95,105,112,122,126,138,142,147],"most":[13],"crucial":[14],"functions":[15],"a":[17,39,57,133],"battery":[18,42,117],"management":[19],"system,":[20],"which":[21,128],"quantified":[24],"evaluation":[25],"driving":[27],"mileage":[28],"remaining":[30],"useful":[31],"life":[32],"electric":[34],"vehicles.":[35],"This":[36],"paper":[37],"investigates":[38],"novel":[40],"data-driven\u2013enabled":[41],"states":[43,75],"estimation":[44,92,109],"method":[45,149],"by":[46,152],"combining":[47],"recurrent":[48,58],"neural":[49,59,96],"network":[50,60,97],"modeling":[51],"particle-filtering\u2013based":[53],"errors":[54,93],"redress.":[55],"First,":[56],"with":[61,155],"long-short":[62],"time":[63],"memory":[64],"is":[65,101,118,129,150],"employed":[66,102],"to":[67,89,103,121,136],"learn":[68],"long-term":[70],"nonlinear":[71],"relation":[72],"between":[73],"batteries":[74],"measurable":[77],"signals":[78],"lithium-ion":[80],"batteries,":[81],"such":[82],"as":[83,132],"current,":[84],"voltage,":[85],"temperature.":[87],"Second,":[88],"denoise":[90],"model,":[98],"particle":[99],"filtering":[100],"smooth":[104],"results.":[110],"Third,":[111],"terminal":[113],"voltage":[114],"difference":[115],"highly":[119],"related":[120],"internal":[123,139],"resistance":[124,140],"battery,":[127],"thus":[130],"taken":[131],"new":[134],"input":[135],"track":[137],"battery.":[143],"performance":[145],"proposed":[148],"verified":[151],"multiple":[153],"comparisons":[154],"conventional":[156],"techniques":[157],"under":[158],"randomized":[159],"loading":[160],"profiles":[161],"different":[163],"temperatures.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-08-29T00:00:00"}