Perspective modelling and measuring discharge voltage on
truncated data of long-term stored Li-ion batteries based on
functional state space model

J 2025

Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model

KOLÁČEK, Jan; David VALIŠ; Mária FUKSOVÁ; Jiří HLINKA; Petr PROCHÁZKA et al.

Základní údaje

Originální název

Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model

Autoři

KOLÁČEK, Jan ; David VALIŠ; Mária FUKSOVÁ; Jiří HLINKA a Petr PROCHÁZKA

Vydání

Applied Energy, Elsevier Ltd, 2025, 0306-2619

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10103 Statistics and probability

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 11.000 v roce 2024

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/25:00140312

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

Li-ion battery; Test data; Voltage discharge fade; Functional state space models; Backpropagation recursors

Štítky

14311010, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 31. 10. 2024 07:59, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

The subject of battery sources and electrical energy accumulators is currently very topical. Moreover, the possibilities of reusing already discarded sources are being explored as so-called “second-life batteries”. 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.

Návaznosti

MUNI/A/1457/2023, interní kód MU

Název: Specifický výzkum v odborné, aplikované a učitelské matematice 2024

Investor: Masarykova univerzita, Specifický výzkum v odborné, aplikované a učitelské matematice 2024

Citovat

KOLÁČEK, Jan; David VALIŠ; Mária FUKSOVÁ; Jiří HLINKA a Petr PROCHÁZKA. Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model. Applied Energy. Elsevier Ltd, 2025, roč. 377, January, s. 124496-124510. ISSN 0306-2619. Dostupné z: https://doi.org/10.1016/j.apenergy.2024.124496.

@article{2439497,
   author = {Koláček, Jan and Vališ, David and Fuksová, Mária and Hlinka, Jiří and Procházka, Petr},
   article_number = {January},
   doi = {https://doi.org/10.1016/j.apenergy.2024.124496},
   keywords = {Li-ion battery; Test data; Voltage discharge fade; Functional state space models; Backpropagation recursors},
   language = {eng},
   issn = {0306-2619},
   journal = {Applied Energy},
   title = {Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model},
   url = {https://www.sciencedirect.com/science/article/pii/S0306261924018798},
   volume = {377},
   year = {2025}
}

TY  - JOUR
ID  - 2439497
AU  - Koláček, Jan - Vališ, David - Fuksová, Mária - Hlinka, Jiří - Procházka, Petr
PY  - 2025
TI  - Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model
JF  - Applied Energy
VL  - 377
IS  - January
SP  - 124496
EP  - 124496
PB  - Elsevier Ltd
SN  - 03062619
KW  - Li-ion battery
KW  - Test data
KW  - Voltage discharge fade
KW  - Functional state space models
KW  - Backpropagation recursors
UR  - https://www.sciencedirect.com/science/article/pii/S0306261924018798
N2  - The subject of battery sources and electrical energy accumulators is currently very topical. Moreover, the possibilities of reusing already discarded sources are being explored as so-called “second-life batteries”. 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.
ER  -

KOLÁČEK, Jan; David VALIŠ; Mária FUKSOVÁ; Jiří HLINKA a Petr PROCHÁZKA. Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model. \textit{Applied Energy}. Elsevier Ltd, 2025, roč.~377, January, s.~124496-124510. ISSN~0306-2619. Dostupné z: https://doi.org/10.1016/j.apenergy.2024.124496.

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