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首页> 外文期刊>International Journal of Electrochemical Science >An Improved Rainflow Algorithm Combined with Linear Criterion for the Accurate Li-ion Battery Residual Life Prediction
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An Improved Rainflow Algorithm Combined with Linear Criterion for the Accurate Li-ion Battery Residual Life Prediction

机译：一种改进的雨流算法与准确的锂离子电池残余寿命预测的线性标准相结合

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摘要

Li-ion battery health assessment has been widely used in electric vehicles, unmanned aerial vehicle and other fields. In this paper, a new linear prediction method is proposed. By weakening the sensitivity of the Rainflow algorithm to the peak data, it can be applied to the field of battery, and can accurately count the number of Li-ion battery cycles, and skip the cumbersome link of parameter identification. Then, a linear criterion is proposed based on the idea of proportion, which makes the life prediction of Li-ion battery linear. Under the verification of multiple sets of data, the prediction error of this method is kept within 2.53%. This method has the advantages of high operation efficiency and simple operation, which provides a new idea for battery life prediction in the field of electric vehicles and aerospace.
机译：锂离子电池健康评估已广泛应用于电动汽车，无人驾驶飞行器和其他领域。 本文提出了一种新的线性预测方法。 通过削弱雨流程算法对峰值数据的灵敏度，它可以应用于电池领域，并且可以准确地计算锂离子电池循环的数量，并跳过参数识别的麻烦链路。 然后，基于比例的概念提出了线性标准，这使得锂离子电池线性的寿命预测。 在多组数据的验证下，此方法的预测误差保持在2.53％之内。 该方法具有高运行效率和操作简单的优点，为电动汽车和航空航天领域的电池寿命预测提供了新的思路。

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