Performance Comparison of Open-Circuit Voltage Modelling of Li-ion Batteries at Different C-Rates

Prarthana Pillai, James Nguyen, B. Balasingam
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引用次数: 1

Abstract

The characterization of a battery to estimate its capacity is a crucial step in open-circuit voltage modelling. The battery capacity estimation is essential to determine diagnostic details on the battery and in determining several other battery parameters. Past research has shown that a normalized open-circuit voltage characterization independent of temperature is also dependent on accurate capacity estimation. In most works, the normalized OCV characterization approaches were done at C/30 rates where the entire data collection took approximately 60 hours. The undesirably long data collection process motivated the need to determine the expected accuracy at lower C-rates in realistic conditions. However, little attention was paid in the literature to investigate capacity estimation error at various C-rates. Thus, in this paper, the battery capacity estimation is repeated at seven C-rates: C/2, C/4, C/8, C/16, C/32, C/64 and C/128, to compare their accuracy using data collected from a laboratory-based battery cycler. It was found that with a lower current rate, a maximum of 0.3 Ah error is observed in the charge capacity. An error of 0.16 Ah was observed for the discharge capacity at the lowest C-rate of C/2 A.
不同c -倍率下锂离子电池开路电压建模性能比较
在开路电压建模中,对电池进行表征以估计其容量是至关重要的一步。电池容量估计对于确定电池的诊断细节和确定其他几个电池参数至关重要。过去的研究表明,与温度无关的归一化开路电压特性也依赖于准确的容量估计。在大多数工作中,标准化的OCV表征方法以C/30的速率完成,整个数据收集大约需要60小时。不希望的长时间数据收集过程促使需要在实际条件下确定较低碳率下的预期精度。然而,文献中很少关注不同c率下的容量估计误差。因此,本文以C/2、C/4、C/8、C/16、C/32、C/64和C/128七种C率重复估算电池容量,并使用实验室电池循环器收集的数据比较它们的准确性。结果表明,在较低的电流速率下,充电容量误差最大可达0.3 Ah。在C/ 2a的最低充放电倍率下,放电容量误差为0.16 Ah。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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