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A Five-Parameter Analytical Curvefit Model for Open-Circuit Voltage Variation with State-of-Charge of a Rechargeable Battery

机译:具有充电状态的开路电压变化的五参数分析曲线拟合模型

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Rechargeable batteries, particularly using lithiumion chemistry, are used for energy storage in a wide range of applications. As these batteries charge and discharge, the variation of open-circuit voltage (OCV) is highly non-linear with respect to state-of-charge (SOC). Modelling this phenomenon using the details of the internal electrochemical processes results in a highly complex model that can be hard to build and simulate. In order to focus on the terminal behaviour only, this paper presents a simple five-parameter analytical model that accurately curvefits empirical data of OCV variation with battery SOC. The proposed model uses a summation of a logarithmic function and a polynomial function to capture the non-linearities in the low-SOC and high-SOC regions, respectively. The extent of nonlinearity or bend in each of these two regions can be controlled using separate parameters. Comparison with experimental data during discharge of a Samsung 18650 cell is shown. The proposed battery model is simple and flexible, and can easily cater to a variety of battery types.
机译:可再充电电池,特别是使用锂离子化学物质的可再充电电池,被广泛用于各种应用中的能量存储。随着这些电池的充电和放电,开路电压(OCV)的变化相对于充电状态(SOC)呈高度非线性。使用内部电化学过程的细节对此现象进行建模会导致一个非常复杂的模型,该模型可能难以构建和模拟。为了仅关注终端行为,本文提出了一种简单的五参数分析模型,该模型可以准确地拟合电池SOC的OCV变化的经验数据。提出的模型使用对数函数和多项式函数的总和分别捕获低SOC和高SOC区域中的非线性。可以使用单独的参数来控制这两个区域中每个区域的非线性程度或弯曲程度。显示了与三星18650电池放电期间的实验数据的比较。提出的电池模型简单灵活,可以轻松满足各种电池类型的需求。

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