Browse by author
Lookup NU author(s): Dr Pierrot Attidekou,
Dr Matthew Armstrong,
Dr Simon LambertORCiD,
Professor Paul Christensen
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2017 The Electrochemical Society. All rights reserved. This paper presents a new technique to determine the online capacity of a lithium ion battery for Electric Vehicle (EV) applications. A mixed calendar and cycling profile is defined and applied to a high power- density 16Ah pouch type battery. Whilst the capacity loss due to cycling is irreversible, the apparent capacity loss due relaxation/self-discharge is found to be pseudo-reversible. The characteristic voltage drop during relaxation is studied in detail, and shown to exhibit behavior which can be modelled using a dynamic time constant approach. Applying this technique, an excellent fit is obtained between the actual and model predicted relaxation curves. The results are of significant practical importance, particularly in the field of lifetime prediction of Li-Ion batteries.
Author(s): Attidekou PS, Wang C, Armstrong M, Lambert SM, Christensen PA
Publication type: Article
Publication status: Published
Journal: Journal of the Electrochemical Society
Online publication date: 21/06/2017
Acceptance date: 02/04/2016
ISSN (print): 0013-4651
ISSN (electronic): 1945-7111
Publisher: Electrochemical Society Inc.
Altmetrics provided by Altmetric