Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00563669" target="_blank" >RIV/60162694:G43__/26:00563669 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216224:14310/25:00140312 RIV/00216305:26220/26:0199405
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S0306261924018798?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0306261924018798?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.apenergy.2024.124496" target="_blank" >10.1016/j.apenergy.2024.124496</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model
Popis výsledku v původním jazyce
This article is concerned with studying and modelling the behaviour of a battery in an electric aircraft in operation — the voltage during discharge. Outcomes from extensive experiments on real long-term stored batteries have provided statistically robust sets of data on both long-term stored and new batteries; some of the data, however, are truncated. A modern approach that neglects the truncated issues and is based on functional data analysis and modified with a specific time series is used to model the process. This suggested model is much more accurate than the model used previously as it can effectively process truncated data. It also allows a certain degree of generalization. The aim is to determine the probability density of the time when the battery reaches the critical value, including the numerical statistics, for both stored and new batteries. The results are compared using the specific statistical Kullback–Leibler divergence approach to determine the degree of difference. The proposed model applies to similar issues where battery voltage is modelled in a time domain while the data form is truncated. It is proved, however, that further use of the stored batteries does not disrupt the safe and reliable operation of an electric airplane in terms of their functionality.
Název v anglickém jazyce
Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model
Popis výsledku anglicky
This article is concerned with studying and modelling the behaviour of a battery in an electric aircraft in operation — the voltage during discharge. Outcomes from extensive experiments on real long-term stored batteries have provided statistically robust sets of data on both long-term stored and new batteries; some of the data, however, are truncated. A modern approach that neglects the truncated issues and is based on functional data analysis and modified with a specific time series is used to model the process. This suggested model is much more accurate than the model used previously as it can effectively process truncated data. It also allows a certain degree of generalization. The aim is to determine the probability density of the time when the battery reaches the critical value, including the numerical statistics, for both stored and new batteries. The results are compared using the specific statistical Kullback–Leibler divergence approach to determine the degree of difference. The proposed model applies to similar issues where battery voltage is modelled in a time domain while the data form is truncated. It is proved, however, that further use of the stored batteries does not disrupt the safe and reliable operation of an electric airplane in terms of their functionality.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20704 - Energy and fuels
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
APPLIED ENERGY
ISSN
0306-2619
e-ISSN
—
Svazek periodika
377
Číslo periodika v rámci svazku
124496
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
15
Strana od-do
124496
Kód UT WoS článku
001327715200001
EID výsledku v databázi Scopus
2-s2.0-85204801999