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A new time constant approach to online capacity monitoring and lifetime prediction of lithium ion batteries for Electric Vehicles (EV)

Lookup NU author(s): Dr Pierrot Attidekou, Chen Wang, Dr Matthew Armstrong, Dr Simon LambertORCiD, Professor Paul ChristensenORCiD


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© 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.

Publication metadata

Author(s): Attidekou PS, Wang C, Armstrong M, Lambert SM, Christensen PA

Publication type: Article

Publication status: Published

Journal: Journal of the Electrochemical Society

Year: 2017

Volume: 164

Issue: 9

Pages: A1792-A1801

Online publication date: 21/06/2017

Acceptance date: 02/04/2016

ISSN (print): 0013-4651

ISSN (electronic): 1945-7111

Publisher: Electrochemical Society Inc.


DOI: 10.1149/2.0101709jes


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