A Simulation of Lithium-Ion Battery Ohmic Resistance Identification

Rirong Liang, Xuezhe Wei, Haifeng Dai, Bei Sun
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引用次数: 1

Abstract

In electric vehicle applications, it is necessary to estimate the internal resistance of Lithium-ion battery, which is feasible through internal resistance identification based on equivalent circuit model. But in the actual battery management system, current sampling tends to lag behind the voltage sampling, which affects the identification accuracy apparently. In this article, the ohmic resistance of the lithium-ion battery is evaluated based on equivalent circuit model and least squares identification algorithm. Influence by desynchronized sampling of current and voltage is simulated. And a reasonable value of sampling step is introduced.
锂离子电池欧姆电阻辨识的仿真研究
在电动汽车应用中,需要对锂离子电池的内阻进行估算,通过基于等效电路模型的内阻识别是可行的。但在实际的电池管理系统中,电流采样往往滞后于电压采样,这明显影响了识别的准确性。本文基于等效电路模型和最小二乘辨识算法对锂离子电池的欧姆电阻进行了评估。模拟了电流和电压非同步采样对系统的影响。并给出了合理的采样步长。
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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