Cycle life prediction method of lithium ion batteries for new energy electric vehicles

Runze Gao, Xiao Li, Haitao Yu
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引用次数: 2

Abstract

In order to solve the problems of high battery capacity detection error and low life prediction accuracy existing in traditional lithium-ion battery cycle life prediction methods, based on the battery capacity detection results, the cycle life prediction of lithium-ion batteries for new energy electric vehicles was carried out. Firstly, the principle of charge and discharge of lithium-ion battery is analyzed. Based on this, the idea of differential equation is introduced to detect the capacity of lithium-ion battery in real time. Secondly, according to the battery capacity test results, the exponential function of lithium-ion battery cycle life decline is constructed, and the calculation result of life influence factor is obtained. Finally, the lithium-ion battery cycle life prediction model is constructed, and the final prediction results are obtained. The experimental results show that the proposed method can always keep a low battery capacity detection error in multiple charging and discharging cycles, and the battery cycle life prediction accuracy can reach 97%.
新能源电动汽车用锂离子电池循环寿命预测方法
为解决传统锂离子电池循环寿命预测方法存在的电池容量检测误差大、寿命预测精度低的问题,基于电池容量检测结果,开展新能源电动汽车锂离子电池循环寿命预测。首先,分析了锂离子电池的充放电原理。在此基础上,引入微分方程的思想实时检测锂离子电池的容量。其次,根据电池容量试验结果,构建了锂离子电池循环寿命下降的指数函数,得到了寿命影响因子的计算结果;最后,构建了锂离子电池循环寿命预测模型,得到了最终的预测结果。实验结果表明,该方法在多次充放电循环中始终保持较低的电池容量检测误差,电池循环寿命预测精度可达97%。
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