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

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

9 Citations (Scopus)

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.

Original language	English
Title of host publication	SOH estimation and prediction for NMC cells based on degradation mechanism detection
Place of Publication	Montréal
Publisher	IEEE
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1109/VPPC.2015.7353020
Publication status	Published - 19 Oct 2015
Event	Vehicle Power and Propulsion Conference 2015 - Montreal, Montreal, Canada Duration: 19 Oct 2015 → 21 Oct 2015

Conference

Conference	Vehicle Power and Propulsion Conference 2015
Country/Territory	Canada
City	Montreal
Period	19/10/15 → 21/10/15

Keywords

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

Access to Document

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
Electrical Engineering and Power Electronics
Facility/equipment: Equipment

Cite this

@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, pp. 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. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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

Abstract

Conference

Keywords

Access to Document

Fingerprint

Equipment

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

Cite this