Degradation mechanism detection for NMC batteries based on Incremental Capacity curves

Maitane Berecibar; Matthieu Dubarry; Noshin Omar; Igor Villarreal; Joeri Van Mierlo

Degradation mechanism detection for NMC batteries based on Incremental Capacity curves

Maitane Berecibar, Matthieu Dubarry, Noshin Omar, Igor Villarreal, Joeri Van Mierlo

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

Abstract

Path dependence degradation detection is getting lot of attention due to high demand of long lasting batteries for applications with sporadic usage such as electric vehicles. In this regard, this work presents a study of the degradation mechanism of NMC/Graphite cells cycled under different depth of discharges. Analysis will be based on the study of incremental capacity curves. The trends observed on experimental curves will be compared to simulations in order to exemplify the differences and highlight the path dependence of the degradation.

Original language	English
Title of host publication	Degradation mechanism detection for NMC batteries based on Incremental Capacity curves
Place of Publication	MONTREAL
Publisher	EVS29
Pages	1-12
Number of pages	12
Publication status	Published - 19 Jun 2016
Event	29th Electric Vehicle Symposium and Exhibition - Palais des congrès de Montréal, Montreal, Canada Duration: 19 Jun 2016 → 22 Jun 2016 Conference number: 29 http://www.evs29.org/

Conference

Conference	29th Electric Vehicle Symposium and Exhibition
Abbreviated title	EVS
Country/Territory	Canada
City	Montreal
Period	19/06/16 → 22/06/16
Internet address	http://www.evs29.org/

Keywords

Prediction
Nickel Manganese Cobalt Oxide
Battery Management System,
state of heath

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{844652469e124443a5b79c8fd2da2524,

title = "Degradation mechanism detection for NMC batteries based on Incremental Capacity curves",

abstract = "Path dependence degradation detection is getting lot of attention due to high demand of long lasting batteries for applications with sporadic usage such as electric vehicles. In this regard, this work presents a study of the degradation mechanism of NMC/Graphite cells cycled under different depth of discharges. Analysis will be based on the study of incremental capacity curves. The trends observed on experimental curves will be compared to simulations in order to exemplify the differences and highlight the path dependence of the degradation.",

keywords = "Prediction, Nickel Manganese Cobalt Oxide, Battery Management System,, state of heath",

author = "Maitane Berecibar and Matthieu Dubarry and Noshin Omar and Igor Villarreal and {Van Mierlo}, Joeri",

year = "2016",

month = jun,

day = "19",

language = "English",

pages = "1--12",

booktitle = "Degradation mechanism detection for NMC batteries based on Incremental Capacity curves",

publisher = "EVS29",

note = "29th Electric Vehicle Symposium and Exhibition, EVS ; Conference date: 19-06-2016 Through 22-06-2016",

url = "http://www.evs29.org/",

}

Degradation mechanism detection for NMC batteries based on Incremental Capacity curves. / Berecibar, Maitane; Dubarry, Matthieu; Omar, Noshin; Villarreal, Igor; Van Mierlo, Joeri.

Degradation mechanism detection for NMC batteries based on Incremental Capacity curves. MONTREAL : EVS29, 2016. p. 1-12.

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

TY - GEN

T1 - Degradation mechanism detection for NMC batteries based on Incremental Capacity curves

AU - Berecibar, Maitane

AU - Dubarry, Matthieu

AU - Omar, Noshin

AU - Villarreal, Igor

AU - Van Mierlo, Joeri

N1 - Conference code: 29

PY - 2016/6/19

Y1 - 2016/6/19

N2 - Path dependence degradation detection is getting lot of attention due to high demand of long lasting batteries for applications with sporadic usage such as electric vehicles. In this regard, this work presents a study of the degradation mechanism of NMC/Graphite cells cycled under different depth of discharges. Analysis will be based on the study of incremental capacity curves. The trends observed on experimental curves will be compared to simulations in order to exemplify the differences and highlight the path dependence of the degradation.

AB - Path dependence degradation detection is getting lot of attention due to high demand of long lasting batteries for applications with sporadic usage such as electric vehicles. In this regard, this work presents a study of the degradation mechanism of NMC/Graphite cells cycled under different depth of discharges. Analysis will be based on the study of incremental capacity curves. The trends observed on experimental curves will be compared to simulations in order to exemplify the differences and highlight the path dependence of the degradation.

KW - Prediction

KW - Nickel Manganese Cobalt Oxide

KW - Battery Management System,

KW - state of heath

M3 - Conference paper

SP - 1

EP - 12

BT - Degradation mechanism detection for NMC batteries based on Incremental Capacity curves

PB - EVS29

CY - MONTREAL

T2 - 29th Electric Vehicle Symposium and Exhibition

Y2 - 19 June 2016 through 22 June 2016

ER -

Degradation mechanism detection for NMC batteries based on Incremental Capacity curves

Abstract

Conference

Keywords

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