Offline State-of-Health Estimation Method for Lithium-Ion Batteries in LEO CubeSats

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00360792" target="_blank" >RIV/68407700:21230/22:00360792 - isvavai.cz</a>

Result on the web

<a href="http://www.nzee.cz/index.html" target="_blank" >http://www.nzee.cz/index.html</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Offline State-of-Health Estimation Method for Lithium-Ion Batteries in LEO CubeSats

Original language description

State-of-health (SOH) estimation is an essential but challenging functionality for batteries. In this work, a SOH estimation for Lithium-ion batteries in CubeSats is in focus. A proposed method is based on offline model parameter identification from satellite telemetry. Its laboratory performance was 2.26 % and 0.74 % root-mean-square-error for capacity and resistance, respectively.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

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

Article name in the collection

43. Nekonvenční zdroje elektrické energie

ISBN

978-80-02-02972-4

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

61-64

Publisher name

Česká elektrotechnická společnost

Place of publication

Praha

Event location

Blansko

Event date

Jun 22, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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