Next Article in Journal
Life cycle cost analysis of alternative vehicles and fuels in Belgium
Previous Article in Journal
Capacity Fade of Lithium-Ion Batteries upon Mixed Calendar/Cycling Aging Protocol
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
WEVJ
Volume 8
Issue 2
10.3390/wevj8020350
wevj-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Previous articles were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Degradation Mechanism Detection for NMC Batteries based on Incremental Capacity Curves

by
M. Berecibar
1,2,*,
M. Dubarry
3,
N. Omar
2,
I. Villarreal
1 and
J. Van Mierlo
2
1
IK4-Ikerlan, Energy Business Unit, Technology Park of Alava, 01510, Minano, Spain
2
Vrije Universiteit Brussel, MOBI Research Group, Pleinlaan 2, 1050 Brussels, Belgium
3
Hawaii Natural Energy Institute, SOEST, University of Hawaii at Manoa, 1680 East-West Road, POST 109, Honolulu, Hl 96822, USA
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2016, 8(2), 350-361; https://doi.org/10.3390/wevj8020350
Published: 24 June 2016
Versions Notes

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; Battery management system; state of health prediction; Nickel Manganese Cobalt Oxide battery; Battery management system; state of health

Share and Cite

MDPI and ACS Style

Berecibar, M.; Dubarry, M.; Omar, N.; Villarreal, I.; Van Mierlo, J. Degradation Mechanism Detection for NMC Batteries based on Incremental Capacity Curves. World Electr. Veh. J. 2016, 8, 350-361. https://doi.org/10.3390/wevj8020350

AMA Style

Berecibar M, Dubarry M, Omar N, Villarreal I, Van Mierlo J. Degradation Mechanism Detection for NMC Batteries based on Incremental Capacity Curves. World Electric Vehicle Journal. 2016; 8(2):350-361. https://doi.org/10.3390/wevj8020350

Chicago/Turabian Style

Berecibar, M., M. Dubarry, N. Omar, I. Villarreal, and J. Van Mierlo. 2016. "Degradation Mechanism Detection for NMC Batteries based on Incremental Capacity Curves" World Electric Vehicle Journal 8, no. 2: 350-361. https://doi.org/10.3390/wevj8020350

APA Style

Berecibar, M., Dubarry, M., Omar, N., Villarreal, I., & Van Mierlo, J. (2016). Degradation Mechanism Detection for NMC Batteries based on Incremental Capacity Curves. World Electric Vehicle Journal, 8(2), 350-361. https://doi.org/10.3390/wevj8020350

Article Metrics

Back to TopTop