Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications-Calendar and Cycling Ageing Combination Effects

被引:41
|
作者
Redondo-Iglesias, Eduardo [1 ,2 ]
Venet, Pascal [2 ,3 ]
Pelissier, Serge [1 ,2 ]
机构
[1] Univ Gustave Eiffel, Univ Lyon, IFSTTAR, AME Eco7, F-69500 Bron, France
[2] ERC GEST IFSTTAR Ampere Joint Res Team Energy Man, F-69500 Bron, France
[3] Univ Lyon, Univ Claude Bernard Lyon 1, CNRS, Ecole Cent Lyon,INSA Lyon,Ampere, F-69100 Villeurbanne, France
来源
BATTERIES-BASEL | 2020年 / 6卷 / 01期
关键词
battery ageing model; lithium-ion battery; electric vehicle; CAPACITY FADE; MECHANISMS; PREDICTION; SYSTEM; CELL;
D O I
10.3390/batteries6010014
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
Battery ageing is an important issue in e-mobility applications. The performance degradation of lithium-ion batteries has a strong influence on electric vehicles' range and cost. Modelling capacity fade of lithium-ion batteries is not simple: many ageing mechanisms can exist and interact. Because calendar and cycling ageings are not additive, a major challenge is to model battery ageing in applications where the combination of cycling and rest periods are variable as, for example, in the electric vehicle application. In this work, an original approach to capacity fade modelling based on the formulation of reaction rate of a two-step reaction is proposed. A simple but effective model is obtained: based on only two differential equations and seven parameters, it can reproduce the capacity evolution of lithium-ion cells subjected to cycling profiles similar to those found in electric vehicle applications.
引用
收藏
页数:18
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