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Parameter determination and evaluation of a Thévenin dynamic model for a li-ion cylindrical cell used in CubeSat applications

  • Diego Fernández-Arias
  • , Juan J. Rojas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The limited processing capacity of the lean satellites means that the indicators describing the general state of the cells that make up their power subsystem are rarely estimated. Such is the case of the SOC, whose estimation will be relevant for the control of this subsystem during the mission. Following the idea that these satellites seek a low cost, in this work, a cost-effective cycler was integrated to obtain the parameters of the cells. These were used as the input data of a Thévenin equivalent circuit model with one RC pair to obtain the estimated SOC. The Coulomb Counting method was chosen to calculate the real SOC from simulated data of the BIRDS mission. The results were evaluated and compared with simpler methods to demonstrate their accuracy. A mean absolute percentage error (MAPE) of 1.00337% was obtained, showing that the selected Thévenin model produced precise results without compromising processing power for other functions during the satellite mission.

Original languageEnglish
Title of host publicationProceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology
Subtitle of host publicationSustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0., LACCEI 2024
PublisherLatin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)9786289520781
DOIs
StatePublished - 2024
Externally publishedYes
Event22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024 - Hybrid, San Jose, Costa Rica
Duration: 17 Jul 202419 Jul 2024

Publication series

NameProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (Electronic)2414-6390

Conference

Conference22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024
Country/TerritoryCosta Rica
CityHybrid, San Jose
Period17/07/2419/07/24

Keywords

  • electrical power system
  • equivalent circuit model
  • lean satellite
  • state of charge

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