{"id":"https://openalex.org/W4415969038","doi":"https://doi.org/10.1109/iecon58223.2025.11221281","title":"Predictive energy management for fuel cell trucks with an adaptive frequency-decoupling solver","display_name":"Predictive energy management for fuel cell trucks with an adaptive frequency-decoupling solver","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415969038","doi":"https://doi.org/10.1109/iecon58223.2025.11221281"},"language":null,"primary_location":{"id":"doi:10.1109/iecon58223.2025.11221281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon58223.2025.11221281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Sha Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha Sun","raw_affiliation_strings":["School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019218420","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0001-7571-4532"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427316","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0002-2296-4498"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061567924","display_name":"Yansiqi Guo","orcid":"https://orcid.org/0009-0004-3956-875X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansiqi Guo","raw_affiliation_strings":["School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104052113","display_name":"Jiacheng Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Zheng","raw_affiliation_strings":["School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025735445","display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0001-5366-5389"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Northwestern Polytechnical University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9807999730110168,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9807999730110168,"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/T12095","display_name":"Vehicle emissions and performance","score":0.004399999976158142,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.0035000001080334187,"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/solver","display_name":"Solver","score":0.7879999876022339},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5421000123023987},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.5246999859809875},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4885999858379364},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.4609000086784363},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4383000135421753},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4032999873161316},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.4027999937534332},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.40220001339912415}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.7879999876022339},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5421000123023987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5284000039100647},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.5246999859809875},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4885999858379364},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.4609000086784363},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4499000012874603},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4032999873161316},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.4027999937534332},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.40220001339912415},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3808000087738037},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C1034443","wikidata":"https://www.wikidata.org/wiki/Q2583685","display_name":"Propulsion","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C2781260460","wikidata":"https://www.wikidata.org/wiki/Q6139999","display_name":"Energy management system","level":4,"score":0.3271999955177307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3165999948978424},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C198927703","wikidata":"https://www.wikidata.org/wiki/Q4373881","display_name":"Sequential quadratic programming","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27459999918937683},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2621000111103058},{"id":"https://openalex.org/C2777347956","wikidata":"https://www.wikidata.org/wiki/Q1362005","display_name":"Operating cost","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon58223.2025.11221281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon58223.2025.11221281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2947015116","https://openalex.org/W2999896566","https://openalex.org/W3024495263","https://openalex.org/W3036903792","https://openalex.org/W3096094365","https://openalex.org/W3110735867","https://openalex.org/W3132360879","https://openalex.org/W3135538630","https://openalex.org/W4282943110","https://openalex.org/W4282969388","https://openalex.org/W4403210032","https://openalex.org/W4405336926","https://openalex.org/W4407787461"],"related_works":[],"abstract_inverted_index":{"Under":[0],"complex":[1],"driving":[2,102],"scenarios,":[3],"power-allocating":[4],"mismatches":[5],"among":[6],"energy":[7,21,40,120],"sources":[8],"within":[9],"hybrid":[10],"propulsion":[11],"system":[12,116],"of":[13,26,112,173,186,199],"fuel":[14,114],"cell":[15,115],"heavy":[16],"trucks":[17],"could":[18],"lead":[19],"to":[20,30,62,80,107,117,171],"waste":[22],"and":[23,34,105,201],"lifetime":[24],"degradation":[25],"vehicle.":[27],"In":[28],"order":[29],"improve":[31],"vehicular":[32],"economy":[33],"durability,":[35],"a":[36,44,140,157,164],"model":[37,126],"predictive":[38,127],"control-based":[39],"management":[41,121],"strategy":[42,131,179],"with":[43],"novel":[45],"computation-friendly":[46],"frequency-decoupling":[47],"optimization":[48,58,122],"solver":[49,53,167],"is":[50,78,95,132],"proposed.":[51],"The":[52,92,129],"can":[54],"quickly":[55],"approximate":[56],"the":[57,64,71,74,82,109,113,119,135,150,177],"problem,":[59],"which":[60],"helps":[61],"simplify":[63],"solution":[65],"time":[66,100],"for":[67],"non-linear":[68],"problems.":[69],"Within":[70],"proposed":[72,130,151,178],"solver,":[73],"\u2018Haar\u2019":[75],"wavelet":[76,90],"transform":[77],"introduced":[79],"decouple":[81],"power":[83,111,161],"demand":[84],"change":[85],"rate":[86],"series":[87],"at":[88],"three":[89],"levels.":[91],"sensitivity":[93],"factor":[94],"then":[96],"adjusted":[97],"in":[98,160,184,197],"real":[99],"by":[101,134,190],"state":[103],"recognition":[104],"used":[106],"calculate":[108],"output":[110],"solve":[118],"problem":[123],"based":[124,138],"on":[125,139,192],"control.":[128],"verified":[133],"Processor-in-the-Loop":[136],"testing":[137],"RTU-BOX":[141],"platform.":[142],"Testing":[143],"results":[144],"indicated":[145],"that":[146],"under":[147],"MPC-based":[148],"framework,":[149],"multi-mode":[152],"frequency":[153],"decoupling":[154],"method":[155],"showed":[156],"similar":[158],"performance":[159],"allocation":[162],"versus":[163],"quadratic":[165],"programming":[166],"but":[168],"saves":[169],"up":[170],"58.95%":[172],"computation":[174],"time.":[175],"Moreover,":[176],"outperforms":[180],"two":[181],"benchmark":[182],"strategies":[183],"terms":[185,198],"total":[187],"operating":[188],"cost":[189],"22.86%":[191],"average,":[193],"indicating":[194],"its":[195],"effectiveness":[196],"efficiency":[200],"durability":[202],"enhancement.":[203]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-06T00:00:00"}
