State-of-Health Estimation of Lithium-Ion Batteries based on Partial Charging Voltage Profiles

Daniel-Ioan Stroe; Vaclav Knap; Erik Schaltz

doi:10.1149/08513.0379ecst

State-of-Health Estimation of Lithium-Ion Batteries based on Partial Charging Voltage Profiles

Daniel-Ioan Stroe, Vaclav Knap, Erik Schaltz

Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review

9 Citationer (Scopus)

421 Downloads (Pure)

Abstract

Different state-of-health (SOH) estimation methods for Lithiumion batteries have been proposed in the literature. Even though these methods are showing good accuracy, they are developed for optimal laboratory conditions and do not consider various limitations, which are encountered in real-life applications. Therefore, in this paper, we proposed an alternative method for SOH estimation of NMC-based Li-ion batteries considering a reduced voltage interval for which the capacity fade is determined.For validation of the proposed SOH method, six different calendar aging cases have been considered.

Originalsprog	Engelsk
Tidsskrift	ECS Transactions
Vol/bind	85
Udgave nummer	13
Sider (fra-til)	379-386
Antal sider	8
ISSN	1938-6737
DOI	https://doi.org/10.1149/08513.0379ecst
Status	Udgivet - 2018
Begivenhed	233rd ECS Meeting - Seattle, USA Varighed: 13 maj 2018 → 17 maj 2018

Konference

Konference	233rd ECS Meeting
Land/Område	USA
By	Seattle
Periode	13/05/2018 → 17/05/2018

Adgang til dokumentet

10.1149/08513.0379ecst

State-of-Health Estimation of Lithium-Ion Batteries based on Partial Charging Voltage ProfilesAccepteret manuskript, 440 KB

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

Andre filer og links

http://www.scopus.com/inward/record.url?scp=85056833525&partnerID=8YFLogxK

Batnostic: adaptive BATtery diagNOSTIC tools for lifetime assessment of EV batteries
Schaltz, E. & Stroe, D.
EUDP
01/01/2016 → 31/12/2018
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{f0946ebc954d4eb9ba53ff9f1527f501,

title = "State-of-Health Estimation of Lithium-Ion Batteries based on Partial Charging Voltage Profiles",

abstract = "Different state-of-health (SOH) estimation methods for Lithiumion batteries have been proposed in the literature. Even though these methods are showing good accuracy, they are developed for optimal laboratory conditions and do not consider various limitations, which are encountered in real-life applications. Therefore, in this paper, we proposed an alternative method for SOH estimation of NMC-based Li-ion batteries considering a reduced voltage interval for which the capacity fade is determined.For validation of the proposed SOH method, six different calendar aging cases have been considered.",

author = "Daniel-Ioan Stroe and Vaclav Knap and Erik Schaltz",

year = "2018",

doi = "10.1149/08513.0379ecst",

language = "English",

volume = "85",

pages = "379--386",

journal = "ECS Transactions",

issn = "1938-6737",

publisher = "The Electrochemical Society",

number = "13",

note = "233rd ECS Meeting ; Conference date: 13-05-2018 Through 17-05-2018",

}

TY - GEN

T1 - State-of-Health Estimation of Lithium-Ion Batteries based on Partial Charging Voltage Profiles

AU - Stroe, Daniel-Ioan

AU - Knap, Vaclav

AU - Schaltz, Erik

PY - 2018

Y1 - 2018

N2 - Different state-of-health (SOH) estimation methods for Lithiumion batteries have been proposed in the literature. Even though these methods are showing good accuracy, they are developed for optimal laboratory conditions and do not consider various limitations, which are encountered in real-life applications. Therefore, in this paper, we proposed an alternative method for SOH estimation of NMC-based Li-ion batteries considering a reduced voltage interval for which the capacity fade is determined.For validation of the proposed SOH method, six different calendar aging cases have been considered.

AB - Different state-of-health (SOH) estimation methods for Lithiumion batteries have been proposed in the literature. Even though these methods are showing good accuracy, they are developed for optimal laboratory conditions and do not consider various limitations, which are encountered in real-life applications. Therefore, in this paper, we proposed an alternative method for SOH estimation of NMC-based Li-ion batteries considering a reduced voltage interval for which the capacity fade is determined.For validation of the proposed SOH method, six different calendar aging cases have been considered.

UR - http://www.scopus.com/inward/record.url?scp=85056833525&partnerID=8YFLogxK

U2 - 10.1149/08513.0379ecst

DO - 10.1149/08513.0379ecst

M3 - Conference article in Journal

SN - 1938-6737

VL - 85

SP - 379

EP - 386

JO - ECS Transactions

JF - ECS Transactions

IS - 13

T2 - 233rd ECS Meeting

Y2 - 13 May 2018 through 17 May 2018

ER -

State-of-Health Estimation of Lithium-Ion Batteries based on Partial Charging Voltage Profiles

Abstract

Konference

Adgang til dokumentet

AUB Link

Andre filer og links

Fingeraftryk

Projekter

Batnostic: adaptive BATtery diagNOSTIC tools for lifetime assessment of EV batteries

Citationsformater