Incremental Capacity Analysis of a Lithium-Ion Battery Pack for Different Charging Rates

Theodoros Kalogiannis, Daniel-Ioan Stroe, Jonas Nyborg, Kjeld Nørregaard, Andreas Elkjær Christensen, Erik Schaltz

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

Resumé

Incremental Capacity Analysis (ICA) is a method used to investigate the capacity state of health of batteries by tracking the electrochemical properties of the cell. It is based on the differentiation of the battery capacity over the battery voltage, for a full or a partial cycle regarding the experimental conditions. Several ICA research studies have been performed on various Li-ion chemistries and several mathematical approaches have been employed to obtain the differential curves, with most studies however to be focused on a cell level analysis. In the present work, we have performed an in-depth investigation of two battery packs composed of 14 Lithium-ion cells each; for the purpose of evaluating the applicability and the challenges of the ICA on a battery pack level by means of different charging current rates. Also, at a certain charging current, the influence of the temperature on the ICA curves is also analyzed.
OriginalsprogEngelsk
TidsskriftECS Transactions
Vol/bind77
Udgave nummer11
Sider (fra-til)403-412
Antal sider10
ISSN1938-6737
DOI
StatusUdgivet - 2017
Begivenhed231st ECS Meeting - New Orleans, LA, USA
Varighed: 28 maj 20171 jun. 2017

Konference

Konference231st ECS Meeting
LandUSA
ByNew Orleans, LA
Periode28/05/201701/06/2017

Fingerprint

Ions
Electrochemical properties
Lithium
Health
Electric potential
Temperature
Lithium-ion batteries

Citer dette

Kalogiannis, Theodoros ; Stroe, Daniel-Ioan ; Nyborg, Jonas ; Nørregaard, Kjeld ; Christensen, Andreas Elkjær ; Schaltz, Erik. / Incremental Capacity Analysis of a Lithium-Ion Battery Pack for Different Charging Rates. I: ECS Transactions. 2017 ; Bind 77, Nr. 11. s. 403-412.
@inproceedings{3b04c2e6b37640b79b1a8216224e7a53,
title = "Incremental Capacity Analysis of a Lithium-Ion Battery Pack for Different Charging Rates",
abstract = "Incremental Capacity Analysis (ICA) is a method used to investigate the capacity state of health of batteries by tracking the electrochemical properties of the cell. It is based on the differentiation of the battery capacity over the battery voltage, for a full or a partial cycle regarding the experimental conditions. Several ICA research studies have been performed on various Li-ion chemistries and several mathematical approaches have been employed to obtain the differential curves, with most studies however to be focused on a cell level analysis. In the present work, we have performed an in-depth investigation of two battery packs composed of 14 Lithium-ion cells each; for the purpose of evaluating the applicability and the challenges of the ICA on a battery pack level by means of different charging current rates. Also, at a certain charging current, the influence of the temperature on the ICA curves is also analyzed.",
author = "Theodoros Kalogiannis and Daniel-Ioan Stroe and Jonas Nyborg and Kjeld N{\o}rregaard and Christensen, {Andreas Elkj{\ae}r} and Erik Schaltz",
year = "2017",
doi = "10.1149/07711.0403ecst",
language = "English",
volume = "77",
pages = "403--412",
journal = "ECS Transactions",
issn = "1938-6737",
publisher = "The Electrochemical Society",
number = "11",

}

Incremental Capacity Analysis of a Lithium-Ion Battery Pack for Different Charging Rates. / Kalogiannis, Theodoros; Stroe, Daniel-Ioan; Nyborg, Jonas; Nørregaard, Kjeld; Christensen, Andreas Elkjær; Schaltz, Erik.

I: ECS Transactions, Bind 77, Nr. 11, 2017, s. 403-412.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

T1 - Incremental Capacity Analysis of a Lithium-Ion Battery Pack for Different Charging Rates

AU - Kalogiannis, Theodoros

AU - Stroe, Daniel-Ioan

AU - Nyborg, Jonas

AU - Nørregaard, Kjeld

AU - Christensen, Andreas Elkjær

AU - Schaltz, Erik

PY - 2017

Y1 - 2017

N2 - Incremental Capacity Analysis (ICA) is a method used to investigate the capacity state of health of batteries by tracking the electrochemical properties of the cell. It is based on the differentiation of the battery capacity over the battery voltage, for a full or a partial cycle regarding the experimental conditions. Several ICA research studies have been performed on various Li-ion chemistries and several mathematical approaches have been employed to obtain the differential curves, with most studies however to be focused on a cell level analysis. In the present work, we have performed an in-depth investigation of two battery packs composed of 14 Lithium-ion cells each; for the purpose of evaluating the applicability and the challenges of the ICA on a battery pack level by means of different charging current rates. Also, at a certain charging current, the influence of the temperature on the ICA curves is also analyzed.

AB - Incremental Capacity Analysis (ICA) is a method used to investigate the capacity state of health of batteries by tracking the electrochemical properties of the cell. It is based on the differentiation of the battery capacity over the battery voltage, for a full or a partial cycle regarding the experimental conditions. Several ICA research studies have been performed on various Li-ion chemistries and several mathematical approaches have been employed to obtain the differential curves, with most studies however to be focused on a cell level analysis. In the present work, we have performed an in-depth investigation of two battery packs composed of 14 Lithium-ion cells each; for the purpose of evaluating the applicability and the challenges of the ICA on a battery pack level by means of different charging current rates. Also, at a certain charging current, the influence of the temperature on the ICA curves is also analyzed.

U2 - 10.1149/07711.0403ecst

DO - 10.1149/07711.0403ecst

M3 - Conference article in Journal

VL - 77

SP - 403

EP - 412

JO - ECS Transactions

JF - ECS Transactions

SN - 1938-6737

IS - 11

ER -