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Theory of battery ageing in a lithium-ion battery : capacity fade, nonlinear ageing and lifetime prediction

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Atalay, Selcuk, Sheikh, Muhammad, Mariani, Alessandro, Merla, Yu, Bower, Ed and Widanage, Widanalage Dhammika (2020) Theory of battery ageing in a lithium-ion battery : capacity fade, nonlinear ageing and lifetime prediction. Journal of Power Sources, 478 . 229026. doi:10.1016/j.jpowsour.2020.229026

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Official URL: https://doi.org/10.1016/j.jpowsour.2020.229026

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Abstract

Forecasting the lifetime of Li-ion batteries is a critical challenge that limits the integration of battery electric vehicles (BEVs) into the automotive market. Cycle-life performance of Li-ion batteries is intrinsically linked to the fundamental understanding of ageing mechanisms. In contrast to most previous studies which utilise empirical trends (low real-time information) or rough simplifications on mathematical models to predict the lifetime of a Li-ion battery, we deployed a novel ageing formulation that includes heterogeneous dual-layer solid electrolyte interphase (SEI) and lithium-plating ageing mechanisms with porosity evaluation. The proposed model is parameterized and optimized for mass transport and ageing parameters based on fresh and an aged cell and validated against our experimental results. We show that our advanced ageing mechanisms can accurately calculate experimentally observed cell voltage and capacity fade with respect to cycling number and can predict future fade for new operating scenarios based on constant-current and a dynamic power profile cycling experimental data consisting of high discharge C-rates and fast-charging periods. Our model is able to capture the linear and nonlinear (knee-point) capacity fade characteristics with a high accuracy of 98% goodness-of-fit-error and we compared our model performance with well-accepted existing model in literature.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Lithium ion batteries -- Mathematical models, Electrochemistry
Journal or Publication Title: Journal of Power Sources
Publisher: Elsevier S.A.
ISSN: 0378-7753
Official Date: 1 December 2020
Dates:
DateEvent
1 December 2020Published
14 October 2020Available
28 September 2020Accepted
Date of first compliant deposit: 22 October 2020
Volume: 478
Article Number: 229026
DOI: 10.1016/j.jpowsour.2020.229026
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
H1PERBATInnovate UKhttp://dx.doi.org/10.13039/501100006041
Catapult 8205Innovate UKhttp://dx.doi.org/10.13039/501100006041

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