Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Federal de Santa Catarina (UFSC)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorSeman, Laio Oriel-
Autor(es): dc.creatorRigo, Cezar Antonio-
Autor(es): dc.creatorCamponogara, Eduardo-
Autor(es): dc.creatorFilho, Edemar Morsch-
Data de aceite: dc.date.accessioned2025-08-21T17:45:38Z-
Data de disponibilização: dc.date.available2025-08-21T17:45:38Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/LES.2023.3270346-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/247401-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/247401-
Descrição: dc.descriptionDespite a growing interest in developing and launching CubeSats, areas related to their testing and simulation still need to improve systematization, especially within universities. Regarding the temperature of CubeSats, the battery is one of the most critical components, which is why it is common to use active control techniques such as heaters based on the Joule effect, which impacts the satellite’s task scheduling. Despite previous works in the literature, no study simultaneously contemplates the scheduling of tasks and the thermal control of the battery, under varying energy, with the rigor and advantages of exact optimization algorithms. This work proposes to address these two combined features: the analysis and modeling of the nanosatellite scheduling problem to optimize the use of energy resources and the maximize the mission value extraction while considering the battery temperature. In order to include the battery temperature control in the modeling, a proxy model will be used considering a Finite Volume Method based on the heat transfer equations that govern the thermal models of a battery. Thus, a mathematical model of task scheduling capable of considering the thermal control of the battery will be introduced.-
Descrição: dc.descriptionUniversity of Vale do Itajaí, SC, Brazil-
Descrição: dc.descriptionFederal University of Santa Catarina, SC, Brazil-
Descrição: dc.descriptionUNESP, Brazil-
Idioma: dc.languageen-
Relação: dc.relationIEEE Embedded Systems Letters-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBatteries-
Palavras-chave: dc.subjectCubeSat-
Palavras-chave: dc.subjectEmbedded Energy Control-
Palavras-chave: dc.subjectFVM-
Palavras-chave: dc.subjectHeating systems-
Palavras-chave: dc.subjectMathematical models-
Palavras-chave: dc.subjectOptimal scheduling-
Palavras-chave: dc.subjectOrbits-
Palavras-chave: dc.subjectScheduling-
Palavras-chave: dc.subjectTask analysis-
Título: dc.titleOptimal tasks and heater scheduling applied to the management of CubeSats battery lifespan-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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