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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology
Subtítulo de la publicación alojadaSustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0., LACCEI 2024
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9786289520781
DOI
EstadoPublicada - 2024
Evento22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024 - Hybrid, San Jose, Costa Rica
Duración: 17 jul 202419 jul 2024

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (versión digital)2414-6390

Conferencia

Conferencia22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024
País/TerritorioCosta Rica
CiudadHybrid, San Jose
Período17/07/2419/07/24

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