Review and Performance Comparison of Mechanical-Chemical Degradation Models for Lithium-Ion Batteries

被引:320
作者
Reniers, Jorn M. [1 ,2 ,3 ]
Mulder, Grietus [2 ,3 ]
Howey, David A. [1 ]
机构
[1] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England
[2] EnergyVille, B-3600 Genk, Belgium
[3] VITO, B-2400 Mol, Belgium
基金
欧盟地平线“2020”;
关键词
SOLID-ELECTROLYTE-INTERPHASE; SINGLE-PARTICLE MODEL; CAPACITY FADE MODEL; LIFE PREDICTION; AGING MODEL; ELECTROCHEMICAL MODEL; STRESS GENERATION; SEI-FORMATION; DIFFUSION; SIMULATION;
D O I
10.1149/2.0281914jes
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
The maximum energy that lithium-ion batteries can store decreases as they are used because of various irreversible degradation mechanisms. Many models of degradation have been proposed in the literature, sometimes with a small experimental data set for validation. However, a comprehensive comparison between different model predictions is lacking, making it difficult to select modelling approaches which can explain the degradation trends actually observed from data. Here, various degradation models from literature are implemented within a single particle model framework and their behavior is compared. It is shown that many different models can be fitted to a small experimental data set. The interactions between different models are simulated, showing how some of the models accelerate degradation in other models, altering the overall degradation trend. The effects of operating conditions on the various degradation models is simulated. This identifies which models are enhanced by which operating conditions and might therefore explain specific degradation trends observed in data. Finally, it is shown how a combination of different models is needed to capture different degradation trends observed in a large experimental data set. Vice versa, only a large data set enables to properly select the models which best explain the observed degradation. (C) The Author(s) 2019. Published by ECS.
引用
收藏
页码:A3189 / A3200
页数:12
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