{"id":"https://openalex.org/W4410427941","doi":"https://doi.org/10.1109/icst62759.2024.10992073","title":"Short-Term Time Series State of Charge Prediction in Electric Vehicle LGM50 Batteries: A Rolling Forecasting Approach","display_name":"Short-Term Time Series State of Charge Prediction in Electric Vehicle LGM50 Batteries: A Rolling Forecasting Approach","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4410427941","doi":"https://doi.org/10.1109/icst62759.2024.10992073"},"language":"en","primary_location":{"id":"doi:10.1109/icst62759.2024.10992073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst62759.2024.10992073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Conference on Sensing Technology (ICST)","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/A5103041603","display_name":"Zeyang Zhou","orcid":"https://orcid.org/0009-0007-7788-6339"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zeyang Zhou","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney,Faulty of Engineering and Information Technology,Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney,Faulty of Engineering and Information Technology,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108332189","display_name":"Angelo Greco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angelo Greco","raw_affiliation_strings":["Clarios Varta Hannover GmbH,Hannover,Germany"],"affiliations":[{"raw_affiliation_string":"Clarios Varta Hannover GmbH,Hannover,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049970336","display_name":"Faming Huang","orcid":"https://orcid.org/0000-0002-4428-7133"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fenix Huang","raw_affiliation_strings":["KERF Technology Limited,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"KERF Technology Limited,Taipei,Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079376016","display_name":"Karthick Thiyagarajan","orcid":"https://orcid.org/0000-0002-4044-1711"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Karthick Thiyagarajan","raw_affiliation_strings":["Centre for Advanced Manufacturing Technology, School of Engineering, Design and Built Environment, Western Sydney University,Smart Sensing and Robotics Laboratory (SensR Lab),Penrith,NSW,Australia,2751"],"affiliations":[{"raw_affiliation_string":"Centre for Advanced Manufacturing Technology, School of Engineering, Design and Built Environment, Western Sydney University,Smart Sensing and Robotics Laboratory (SensR Lab),Penrith,NSW,Australia,2751","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361748","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-0323-8255"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney,Faulty of Engineering and Information Technology,Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney,Faulty of Engineering and Information Technology,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006355592","display_name":"Mukesh Prasad","orcid":"https://orcid.org/0000-0002-7745-9667"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mukesh Prasad","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney,Faulty of Engineering and Information Technology,Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney,Faulty of Engineering and Information Technology,Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103041603"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33014588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9476000070571899,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9319999814033508,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/state-of-charge","display_name":"State of charge","score":0.7699389457702637},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6630600690841675},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6276024580001831},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5821296572685242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5331078767776489},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.5199933648109436},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48301494121551514},{"id":"https://openalex.org/keywords/charge","display_name":"Charge (physics)","score":0.4536549150943756},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.34569522738456726},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23068374395370483},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19615858793258667},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.15330925583839417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1393243968486786},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11759743094444275},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08626487851142883},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08406877517700195}],"concepts":[{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.7699389457702637},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6630600690841675},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6276024580001831},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5821296572685242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5331078767776489},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5199933648109436},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48301494121551514},{"id":"https://openalex.org/C188082385","wikidata":"https://www.wikidata.org/wiki/Q73792","display_name":"Charge (physics)","level":2,"score":0.4536549150943756},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.34569522738456726},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23068374395370483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19615858793258667},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.15330925583839417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1393243968486786},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11759743094444275},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08626487851142883},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08406877517700195},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/icst62759.2024.10992073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst62759.2024.10992073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Conference on Sensing Technology (ICST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1952861204","https://openalex.org/W1984371730","https://openalex.org/W2004339148","https://openalex.org/W2030615475","https://openalex.org/W2054091988","https://openalex.org/W2099874319","https://openalex.org/W2100222351","https://openalex.org/W2102477545","https://openalex.org/W2137807189","https://openalex.org/W2341585352","https://openalex.org/W2563164035","https://openalex.org/W2734672465","https://openalex.org/W2896959541","https://openalex.org/W2995833555","https://openalex.org/W3194632397","https://openalex.org/W4312201494","https://openalex.org/W4362465590"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W2119012848","https://openalex.org/W4296426226","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W2009545949","https://openalex.org/W1990205660","https://openalex.org/W2129858636","https://openalex.org/W2391748216"],"abstract_inverted_index":{"The":[0],"prediction":[1,29,85],"of":[2,5,20,96],"the":[3,17,21,74,77,94],"state":[4],"charge":[6],"(SOC)":[7],"for":[8,27,76],"battery":[9],"management":[10],"systems":[11],"has":[12],"become":[13],"increasingly":[14],"important":[15],"with":[16],"rapid":[18],"growth":[19],"electric":[22,70],"vehicle":[23],"industry.":[24],"Traditional":[25],"methods":[26],"SOC":[28,75,84],"often":[30],"depend":[31],"on":[32],"extensive":[33],"historical":[34],"data":[35,68],"from":[36,69],"vehicles,":[37],"which":[38],"can":[39],"be":[40],"unreliable":[41],"due":[42],"to":[43,72,82,87,102],"various":[44],"uncontrollable":[45],"factors":[46],"such":[47],"as":[48],"driving":[49,98],"behavior,":[50],"weather,":[51],"and":[52,99],"road":[53],"conditions.":[54],"To":[55],"overcome":[56],"these":[57],"limitations,":[58],"we":[59],"propose":[60],"a":[61],"rolling":[62],"forecasting":[63],"model":[64],"that":[65],"leverages":[66],"month-by-month":[67],"vehicles":[71],"predict":[73],"subsequent":[78],"month.":[79],"This":[80],"approach":[81],"short-term":[83],"aims":[86],"enhance":[88],"intelligent":[89],"mechatronic":[90],"monitoring":[91],"systems,":[92],"enabling":[93],"delivery":[95],"personalized":[97],"charging":[100],"strategies":[101],"customers.":[103]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
