Application Dependent End-of-Life Threshold Definition Methodology for Batteries in Electric Vehicles

被引:23
作者
Arrinda, Mikel [1 ]
Oyarbide, Mikel [1 ]
Macicior, Haritz [1 ]
Muxika, Enaut [2 ]
Popp, Hartmut [3 ]
Jahn, Marcus [3 ]
Ganev, Boschidar [3 ]
Cendoya, Iosu [1 ]
机构
[1] CIDETEC, Basque Res & Technol Alliance BRTA, Po Miramon 196, Donostia San Sebastian 20014, Spain
[2] Mondragon Unibertsitatea, Dept Elect & Comp Sci, Arrasate Mondragon 20500, Gipuzkoa, Spain
[3] AIT Austrian Inst Technol, Ctr Low Emiss Transport, A-1210 Vienna, Austria
来源
BATTERIES-BASEL | 2021年 / 7卷 / 01期
基金
欧盟地平线“2020”;
关键词
end of life; lithium ion battery; simulation approach; electro-thermal model; electric vehicle;
D O I
10.3390/batteries7010012
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
The end-of-life event of the battery system of an electric vehicle is defined by a fixed end-of-life threshold value. However, this kind of end-of-life threshold does not capture the application and battery characteristics and, consequently, it has a low accuracy in describing the real end-of-life event. This paper proposes a systematic methodology to determine the end-of-life threshold that describes accurately the end-of-life event. The proposed methodology can be divided into three phases. In the first phase, the health indicators that represent the aging behavior of the battery are defined. In the second phase, the application specifications and battery characteristics are evaluated to generate the end-of-life criteria. Finally, in the third phase, the simulation environment used to calculate the end-of-life threshold is designed. In this third phase, the electric-thermal behavior of the battery at different aging conditions is simulated using an electro-thermal equivalent circuit model. The proposed methodology is applied to a high-energy electric vehicle application and to a high-power electric vehicle application. The stated hypotheses and the calculated end-of-life threshold of the high-energy application are empirically validated. The study shows that commonly assumed 80 or 70% EOL thresholds could lead to mayor under or over lifespan estimations.
引用
收藏
页码:1 / 20
页数:20
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