SOH estimation and prediction for NMC cells based on degradation mechanism detection

Maitane Berecibar; Noshin Omar; M. Garmendia; Igor Villarreal; Matthieu Dubarry; Peter Van Den Bossche; Joeri Van Mierlo

doi:10.1109/VPPC.2015.7353020

SOH estimation and prediction for NMC cells based on degradation mechanism detection

Maitane Berecibar, Noshin Omar, M. Garmendia, Igor Villarreal, Matthieu Dubarry, Peter Van Den Bossche, Joeri Van Mierlo

Onderzoeksoutput: Conference paper › Research

9 Citaten (Scopus)

Samenvatting

Accurate on board State of Health (SOH) estimation is a key Battery Management System (BMS) function to provide optimal management of the battery system under control. In this regard, this paper presents an extensive study of the degradation mechanism of NMC/Graphite cells based on the study of both incremental capacity (IC) and differential voltage (DV) curves. Moreover, based on the obtained IC curves, a linear relationship was identified between capacity and IC peak intensity for both calendar and cycling ageing. This novel characteristic allows to estimate and even to predict the SOH of NMC/graphite cells.

Originele taal-2	English
Titel	SOH estimation and prediction for NMC cells based on degradation mechanism detection
Plaats van productie	Montréal
Uitgeverij	IEEE
Pagina's	1-6
Aantal pagina's	6
DOI's	https://doi.org/10.1109/VPPC.2015.7353020
Status	Published - 19 okt 2015
Evenement	Vehicle Power and Propulsion Conference 2015 - Montreal, Montreal, Canada Duur: 19 okt 2015 → 21 okt 2015

Conference

Conference	Vehicle Power and Propulsion Conference 2015
Land/Regio	Canada
Stad	Montreal
Periode	19/10/15 → 21/10/15

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10.1109/VPPC.2015.7353020

Battery test station (state of charge characterisation, temperature conditioning): Charge: 5~36V, 0.3~300A; discharge: 5~30V, 0.3~300A
Elektrotechniek-Energietechniek
Uitrusting/faciliteit: Equipment

Citeer dit

@inproceedings{59e3723296b14b0680063560b7a99116,

title = "SOH estimation and prediction for NMC cells based on degradation mechanism detection",

abstract = "Accurate on board State of Health (SOH) estimation is a key Battery Management System (BMS) function to provide optimal management of the battery system under control. In this regard, this paper presents an extensive study of the degradation mechanism of NMC/Graphite cells based on the study of both incremental capacity (IC) and differential voltage (DV) curves. Moreover, based on the obtained IC curves, a linear relationship was identified between capacity and IC peak intensity for both calendar and cycling ageing. This novel characteristic allows to estimate and even to predict the SOH of NMC/graphite cells.",

keywords = "Degradation mechanism detection, IC and DC curves, NMC/Graphite cell, On line SOH estimation, SOH prediction",

author = "Maitane Berecibar and Noshin Omar and M. Garmendia and Igor Villarreal and Matthieu Dubarry and {Van Den Bossche}, Peter and {Van Mierlo}, Joeri",

year = "2015",

month = oct,

day = "19",

doi = "10.1109/VPPC.2015.7353020",

language = "English",

pages = "1--6",

booktitle = "SOH estimation and prediction for NMC cells based on degradation mechanism detection",

publisher = "IEEE",

note = "Vehicle Power and Propulsion Conference 2015 ; Conference date: 19-10-2015 Through 21-10-2015",

}

Berecibar, M, Omar, N, Garmendia, M, Villarreal, I, Dubarry, M, Van Den Bossche, P & Van Mierlo, J 2015, SOH estimation and prediction for NMC cells based on degradation mechanism detection. in SOH estimation and prediction for NMC cells based on degradation mechanism detection. IEEE, Montréal, blz. 1-6, Vehicle Power and Propulsion Conference 2015, Montreal, Canada, 19/10/15. https://doi.org/10.1109/VPPC.2015.7353020

SOH estimation and prediction for NMC cells based on degradation mechanism detection. / Berecibar, Maitane; Omar, Noshin; Garmendia, M.; Villarreal, Igor; Dubarry, Matthieu; Van Den Bossche, Peter ; Van Mierlo, Joeri.

SOH estimation and prediction for NMC cells based on degradation mechanism detection. Montréal : IEEE, 2015. blz. 1-6.

Onderzoeksoutput: Conference paper › Research

TY - GEN

T1 - SOH estimation and prediction for NMC cells based on degradation mechanism detection

AU - Berecibar, Maitane

AU - Omar, Noshin

AU - Garmendia, M.

AU - Villarreal, Igor

AU - Dubarry, Matthieu

AU - Van Den Bossche, Peter

AU - Van Mierlo, Joeri

PY - 2015/10/19

Y1 - 2015/10/19

N2 - Accurate on board State of Health (SOH) estimation is a key Battery Management System (BMS) function to provide optimal management of the battery system under control. In this regard, this paper presents an extensive study of the degradation mechanism of NMC/Graphite cells based on the study of both incremental capacity (IC) and differential voltage (DV) curves. Moreover, based on the obtained IC curves, a linear relationship was identified between capacity and IC peak intensity for both calendar and cycling ageing. This novel characteristic allows to estimate and even to predict the SOH of NMC/graphite cells.

AB - Accurate on board State of Health (SOH) estimation is a key Battery Management System (BMS) function to provide optimal management of the battery system under control. In this regard, this paper presents an extensive study of the degradation mechanism of NMC/Graphite cells based on the study of both incremental capacity (IC) and differential voltage (DV) curves. Moreover, based on the obtained IC curves, a linear relationship was identified between capacity and IC peak intensity for both calendar and cycling ageing. This novel characteristic allows to estimate and even to predict the SOH of NMC/graphite cells.

KW - Degradation mechanism detection

KW - IC and DC curves

KW - NMC/Graphite cell

KW - On line SOH estimation

KW - SOH prediction

U2 - 10.1109/VPPC.2015.7353020

DO - 10.1109/VPPC.2015.7353020

M3 - Conference paper

SP - 1

EP - 6

BT - SOH estimation and prediction for NMC cells based on degradation mechanism detection

PB - IEEE

CY - Montréal

T2 - Vehicle Power and Propulsion Conference 2015

Y2 - 19 October 2015 through 21 October 2015

ER -

SOH estimation and prediction for NMC cells based on degradation mechanism detection

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Conference

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Uitrusting

Battery test station (state of charge characterisation, temperature conditioning): Charge: 5~36V, 0.3~300A; discharge: 5~30V, 0.3~300A

Citeer dit