铅酸蓄电池内部参数建模及实验验证

Jihen Loukil, Ferdaous Masmoudi, N. Derbel
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引用次数: 4

摘要

本文提出了一个适用于铅酸电池的数学模型。为了模拟电池的真实行为,进而提取电池的充放电特性,提出了三阶模型。建立了实际条件下的实验测试。为了识别电池芯的内部参数,提出了两种方法:(i)使用制造商数据表确定的电气特性进行识别,(ii)通过遗传算法进行识别。将恢复的仿真结果与铅酸12V/7Ah的数据表进行了比较,并通过实验工作进行了验证。遗传算法为研究人员方便地确定电池模型参数提供了一种有用的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of internal parameters of a lead acid battery with experimental validation
In this paper, a suitable mathematical model of lead acid batteries has been presented. In order to imitate the real behavior of batteries and then to extract charge and discharge characteristics, the third order model has been proposed. An experimental test under real conditions has been set up. To identify internal parameters of battery cells, two methods have been suggested: (i) the identification using electrical characteristics established by the manufacturer datasheet, and (ii) the identification through a genetic algorithm. Recovered simulation results have been compared to those provided by the lead acid 12V/7Ah's datasheet and then have been validated by experimental works. Genetic algorithm becomes an useful tool for researchers to determine easily the parameters of battery models.
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