Optimal Tasks and Heater Scheduling Applied to the Management of CubeSats Battery Lifespan

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 t...

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Bibliographic Details
Published in:IEEE embedded systems letters 2024-06, Vol.16 (2), p.114-117
Main Authors: Seman, Laio Oriel, Rigo, Cezar Antonio, Camponogara, Eduardo, Filho, Edemar Morsch
Format: Article
Language:English
Subjects:
Active control
Algorithms
Batteries
Critical components
CubeSat
embedded energy control
Energy consumption
Energy sources
Finite volume method
finite volume method (FVM)
Heating systems
Launching
Mathematical models
Nanosatellites
Optimal scheduling
Optimization
Orbits
Scheduling
Task analysis
Task scheduling
Temperature control
Thermal analysis
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Summary: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 letter proposes to address these two combined features: 1) the analysis and modeling of the nanosatellite scheduling problem to optimize the use of energy resources and 2) 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.
ISSN:1943-0663
1943-0671
DOI:10.1109/LES.2023.3270346