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Lookup NU author(s): Dr Wenxian YangORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
Electric vehicles (EVs) are being increasingly used today but the safety of their battery system remains an issue. Therefore, a clear understanding of the degradation of EV batteries and the correct prediction of their remaining useful life (RUL) has become a pressing issue. To date, much effort has been made to predict the RUL of lithium-ion batteries (LIBs). However, existing work has mainly focused on the improvement of prediction methods but ignored the effect of operating conditions on the degradation of the batteries, which has led to large RUL prediction errors. To solve this problem, the degradation of EV LIBs at different temperatures and discharge rates were experimentally studied first in this study. Then, based on the laboratory testing results, the output performance and capacity degradation characteristics of LIBs operating under different conditions were analysed. Finally, based on the obtained analysis results, a new degradation model was proposed to more accurately predict the RUL of EV LIBs. The research discloses that although the available capacity of LIBs generally decreases with the increase of charge-discharge cycles, at the initial stage of battery use, the available capacity of LIBs will show a transient increase with the increase of charge-discharge cycles. Additionally, it is found that temperature has a significant impact on the available capacity of LIBs. For example, when the temperature is -20°C, the measured available capacity of LIBs is only about 1/3 of that measured at the normal temperature of 25°C. Moreover, alternating changes in ambient temperature can accelerate the degradation of LIBs. Such phenomena have never been reported before.
Author(s): Shu X, Yang W, Wei K, Qin B, Du R, Yang B, Garg A
Publication type: Article
Publication status: Published
Journal: Journal of Energy Storage
Year: 2023
Volume: 58
Print publication date: 01/02/2023
Online publication date: 17/12/2022
Acceptance date: 03/12/2022
Date deposited: 18/12/2022
ISSN (print): 2352-152X
ISSN (electronic): 2352-1538
Publisher: Elsevier
URL: https://doi.org/10.1016/j.est.2022.106334
DOI: 10.1016/j.est.2022.106334
ePrints DOI: 10.57711/qjj4-v651
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