Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/LES.2023.3270346 http://hdl.handle.net/11449/247401 |
Resumo: | Despite 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. |
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Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespanBatteriesCubeSatEmbedded Energy ControlFVMHeating systemsMathematical modelsOptimal schedulingOrbitsSchedulingTask analysisDespite 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.University of Vale do Itajaí, SC, BrazilFederal University of Santa Catarina, SC, BrazilUNESP, BrazilUniversidade Federal de Santa Catarina (UFSC)Universidade Estadual Paulista (UNESP)Seman, Laio OrielRigo, Cezar AntonioCamponogara, EduardoFilho, Edemar Morsch2023-07-29T13:15:05Z2023-07-29T13:15:05Z2023-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/LES.2023.3270346IEEE Embedded Systems Letters.1943-06711943-0663http://hdl.handle.net/11449/24740110.1109/LES.2023.32703462-s2.0-85159651073Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Embedded Systems Lettersinfo:eu-repo/semantics/openAccess2023-07-29T13:15:05Zoai:repositorio.unesp.br:11449/247401Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:03:39.421597Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan |
title |
Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan |
spellingShingle |
Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan Seman, Laio Oriel Batteries CubeSat Embedded Energy Control FVM Heating systems Mathematical models Optimal scheduling Orbits Scheduling Task analysis |
title_short |
Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan |
title_full |
Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan |
title_fullStr |
Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan |
title_full_unstemmed |
Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan |
title_sort |
Optimal tasks and heater scheduling applied to the management of CubeSats battery lifespan |
author |
Seman, Laio Oriel |
author_facet |
Seman, Laio Oriel Rigo, Cezar Antonio Camponogara, Eduardo Filho, Edemar Morsch |
author_role |
author |
author2 |
Rigo, Cezar Antonio Camponogara, Eduardo Filho, Edemar Morsch |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Santa Catarina (UFSC) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Seman, Laio Oriel Rigo, Cezar Antonio Camponogara, Eduardo Filho, Edemar Morsch |
dc.subject.por.fl_str_mv |
Batteries CubeSat Embedded Energy Control FVM Heating systems Mathematical models Optimal scheduling Orbits Scheduling Task analysis |
topic |
Batteries CubeSat Embedded Energy Control FVM Heating systems Mathematical models Optimal scheduling Orbits Scheduling Task analysis |
description |
Despite 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. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T13:15:05Z 2023-07-29T13:15:05Z 2023-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/LES.2023.3270346 IEEE Embedded Systems Letters. 1943-0671 1943-0663 http://hdl.handle.net/11449/247401 10.1109/LES.2023.3270346 2-s2.0-85159651073 |
url |
http://dx.doi.org/10.1109/LES.2023.3270346 http://hdl.handle.net/11449/247401 |
identifier_str_mv |
IEEE Embedded Systems Letters. 1943-0671 1943-0663 10.1109/LES.2023.3270346 2-s2.0-85159651073 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Embedded Systems Letters |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128747854888960 |