Assessing Lifetime, Performance, and Functionality Impact for CubeSat Battery Packs via Modelling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00370053" target="_blank" >RIV/68407700:21230/23:00370053 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/ESPC59009.2023.10298147" target="_blank" >https://doi.org/10.1109/ESPC59009.2023.10298147</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ESPC59009.2023.10298147" target="_blank" >10.1109/ESPC59009.2023.10298147</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Assessing Lifetime, Performance, and Functionality Impact for CubeSat Battery Packs via Modelling

Popis výsledku v původním jazyce

Batteries are an essential part of CubeSats, and their lifetime is heavily dependent on them. To accurately predict the battery lifetime, cell inhomogeneities and battery pack functionalities are needed to be considered. Thus, in this work, a model is proposed for battery performance and lifetime prediction during various missions, such as orbiting Earth or deep space. The model is based on an electrical circuit model, degradation model, and self-discharge model while allowing to apply cell-to-cell variations to each cell. The need for balancing functionality for non-identical cells was confirmed. Moreover, the influence of battery cell parameters on a battery pack's performance and lifetime was studied individually to assess their significance. The Coulombic efficiency was identified as the most critical parameter that causes SOC imbalance and consequently heterogeneous degradation. Thus, it is suggested to prioritize it when performing cell matching.

Název v anglickém jazyce

Assessing Lifetime, Performance, and Functionality Impact for CubeSat Battery Packs via Modelling

Popis výsledku anglicky

Batteries are an essential part of CubeSats, and their lifetime is heavily dependent on them. To accurately predict the battery lifetime, cell inhomogeneities and battery pack functionalities are needed to be considered. Thus, in this work, a model is proposed for battery performance and lifetime prediction during various missions, such as orbiting Earth or deep space. The model is based on an electrical circuit model, degradation model, and self-discharge model while allowing to apply cell-to-cell variations to each cell. The need for balancing functionality for non-identical cells was confirmed. Moreover, the influence of battery cell parameters on a battery pack's performance and lifetime was studied individually to assess their significance. The Coulombic efficiency was identified as the most critical parameter that causes SOC imbalance and consequently heterogeneous degradation. Thus, it is suggested to prioritize it when performing cell matching.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2023 13th European Space Power Conference (ESPC)

ISBN

979-8-3503-2899-8

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

IEEE

Místo vydání

Barcelona

Místo konání akce

Elche

Datum konání akce

2. 10. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001102485800035