Features extraction for battery SOH estimation from battery pulsed charging operation

Siyu Jin; Xinming Yu; Xin Sui; Wendi Guo; Maitane  Berecibar; Daniel-Ioan Stroe

doi:10.23919/EPE23ECCEEurope58414.2023.10264335

Features extraction for battery SOH estimation from battery pulsed charging operation

Siyu Jin, Xinming Yu, Xin Sui, Wendi Guo, Maitane Berecibar, Daniel-Ioan Stroe

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

Pulse charging is recognized as a charging technique for maximizing the life of lithium-ion batteries. In this paper, 10 features are extracted from the battery PC operations for battery state of health prediction. By permuting, combining and comparing features, the prediction performance is improved when using two features as input.

Originalsprog	Engelsk
Titel	2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe
Forlag	IEEE (Institute of Electrical and Electronics Engineers)
Publikationsdato	4 sep. 2023
Artikelnummer	10264335
ISBN (Elektronisk)	9789075815412
DOI	https://doi.org/10.23919/EPE23ECCEEurope58414.2023.10264335
Status	Udgivet - 4 sep. 2023
Begivenhed	25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe - Aalborg, Danmark Varighed: 4 sep. 2023 → 8 sep. 2023

Konference

Konference	25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe
Land/Område	Danmark
By	Aalborg
Periode	04/09/2023 → 08/09/2023

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10.23919/EPE23ECCEEurope58414.2023.10264335

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Citationsformater

Jin, S., Yu, X., Sui, X., Guo, W., Berecibar, M., & Stroe, D.-I. (2023). Features extraction for battery SOH estimation from battery pulsed charging operation. I 2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe Artikel 10264335 IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.23919/EPE23ECCEEurope58414.2023.10264335

@inproceedings{0efe2709933741048516150615bbfda9,

title = "Features extraction for battery SOH estimation from battery pulsed charging operation",

abstract = "Pulse charging is recognized as a charging technique for maximizing the life of lithium-ion batteries. In this paper, 10 features are extracted from the battery PC operations for battery state of health prediction. By permuting, combining and comparing features, the prediction performance is improved when using two features as input.",

keywords = "Batteries, Charging, Data analysis, Lifetime, Pulsed current",

author = "Siyu Jin and Xinming Yu and Xin Sui and Wendi Guo and Maitane Berecibar and Daniel-Ioan Stroe",

year = "2023",

month = sep,

day = "4",

doi = "10.23919/EPE23ECCEEurope58414.2023.10264335",

language = "English",

booktitle = "2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe",

publisher = "IEEE (Institute of Electrical and Electronics Engineers)",

address = "United States",

note = "25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe ; Conference date: 04-09-2023 Through 08-09-2023",

}

Jin, S , Yu, X , Sui, X , Guo, W, Berecibar, M & Stroe, D-I 2023, Features extraction for battery SOH estimation from battery pulsed charging operation. i 2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe., 10264335, IEEE (Institute of Electrical and Electronics Engineers), 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe, Aalborg, Danmark, 04/09/2023. https://doi.org/10.23919/EPE23ECCEEurope58414.2023.10264335

Features extraction for battery SOH estimation from battery pulsed charging operation. / Jin, Siyu ; Yu, Xinming ; Sui, Xin et al.
2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe. IEEE (Institute of Electrical and Electronics Engineers), 2023. 10264335.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Features extraction for battery SOH estimation from battery pulsed charging operation

AU - Jin, Siyu

AU - Yu, Xinming

AU - Sui, Xin

AU - Guo, Wendi

AU - Berecibar, Maitane

AU - Stroe, Daniel-Ioan

PY - 2023/9/4

Y1 - 2023/9/4

N2 - Pulse charging is recognized as a charging technique for maximizing the life of lithium-ion batteries. In this paper, 10 features are extracted from the battery PC operations for battery state of health prediction. By permuting, combining and comparing features, the prediction performance is improved when using two features as input.

AB - Pulse charging is recognized as a charging technique for maximizing the life of lithium-ion batteries. In this paper, 10 features are extracted from the battery PC operations for battery state of health prediction. By permuting, combining and comparing features, the prediction performance is improved when using two features as input.

KW - Batteries

KW - Charging

KW - Data analysis

KW - Lifetime

KW - Pulsed current

UR - http://www.scopus.com/inward/record.url?scp=85175197499&partnerID=8YFLogxK

U2 - 10.23919/EPE23ECCEEurope58414.2023.10264335

DO - 10.23919/EPE23ECCEEurope58414.2023.10264335

M3 - Article in proceeding

BT - 2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe

PB - IEEE (Institute of Electrical and Electronics Engineers)

T2 - 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe

Y2 - 4 September 2023 through 8 September 2023

ER -

Features extraction for battery SOH estimation from battery pulsed charging operation

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