An aging model of Ni-MH batteries for hybrid electric vehicles
An aging model of Ni-MH batteries for hybrid electric vehicles
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DOI：
10.1109/vppc.2005.1554536
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发表时间：
2005-12
期刊：
影响因子：
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通讯作者：
L. Serrao;Z. Chehab;Y. Guezennee;G. Rizzoni
中科院分区：
文献类型：
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作者：
L. Serrao;Z. Chehab;Y. Guezennee;G. Rizzoni
如今，电池在混合动力汽车（hev）中的广泛使用需要建立一个准确的电池老化和寿命模型。在电池的使用寿命中，由于其电化学成分的降解，其性能会慢慢下降。电池制造商通常会提供老化数据来显示这种退化。然而，他们提供的数据来自标准老化测试，其中电池以相同的电流分布（或周期）放电和充电数千次。利用这些数据，已经开发了许多老化模型，这些模型将电池循环的最大次数与所使用的电流剖面的放电深度（DOD）联系起来。在这项工作中，我们专注于开发一种老化模型，该模型适用于电池在没有预先定义循环的情况下使用，例如混合动力汽车。将实验室实验和疲劳分析的概念应用于电池老化与影响其寿命的最重要的操作条件（即其工作温度和电流历史）之间的关系。
The extensive use of batteries in hybrid electric vehicles (HEVs) today requires establishing an accurate model of battery aging and life. During a battery's lifetime, its performance slowly deteriorates because of the degradation of its electrochemical constituents. Battery manufacturers usually provide aging data that will show this degradation. However the data they provide result from standard aging tests, in which the battery is discharged and charged thousands of times with identical current profiles (or cycles). Using these data many aging models have been developed that relate the maximum number of battery cycles to the depth of discharge (DOD) of the current profile used. In this work, we focus on the development of an aging model suitable for applications in which the battery is used with no pre-defined cycles, as in the case of hybrid-electric vehicles. Laboratory experiments and concepts borrowed from fatigue analysis are applied to the relationship between battery aging and the most important operational conditions that affect its life, i.e. its operating temperature and current history.