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

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

2 Citationer (Scopus)
131 Downloads (Pure)

Resumé

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.
OriginalsprogEngelsk
TidsskriftECS Transactions
Vol/bind85
Udgave nummer13
Sider (fra-til)379-386
Antal sider8
ISSN1938-6737
DOI
StatusUdgivet - 2018
Begivenhed233rd ECS Meeting - Seattle, USA
Varighed: 13 maj 201817 maj 2018

Konference

Konference233rd ECS Meeting
LandUSA
BySeattle
Periode13/05/201817/05/2018

Fingerprint

Health
Electric potential
Aging of materials
Lithium-ion batteries

Citer dette

@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",

}

State-of-Health Estimation of Lithium-Ion Batteries based on Partial Charging Voltage Profiles. / Stroe, Daniel-Ioan; Knap, Vaclav; Schaltz, Erik.

I: ECS Transactions, Bind 85, Nr. 13, 2018, s. 379-386.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

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

VL - 85

SP - 379

EP - 386

JO - ECS Transactions

JF - ECS Transactions

SN - 1938-6737

IS - 13

ER -