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Voltage Fault Precaution and Safety Management of Lithium-ion Batteries Based on Entropy for Electric Vehicles

机译:基于电动汽车熵的锂离子电池电压故障预防和安全管理

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In operation process of electric vehicles, some factors, such as road conditions, driving habits, vehicle performance always affect batteries performance, which can characterized by batteries voltage to a certain extent. Voltage fault, such as over-voltage or under-voltage will greatly affect the cycle life, state of health and security of lithium-ion batteries. This paper proposed a method of voltage abnormity detection of lithium-ion batteries based on entropy for electric vehicles. The voltage fluctuation data in real time can be obtained by operation service and management center for electric vehicles. The monitoring data was analyzed based on Shannon entropy and sample entropy. The best method of voltage abnormity detection of lithium-ion batteries by using entropy is presented for electric vehicle. The analyzed monitoring data shows that modified Shannon entropy can predict the accurate time and the location of battery or battery pack with voltage fault in advance, so the better security management scheme of the batteries in electric vehicles can be proposed. This method can be used in not only electric vehicles but also in other areas in complex voltage environment.
机译:在电动汽车的运行过程中,一些因素,如道路状况,驾驶习惯,车辆性能总是影响电池性能,这可以通过电池电压在一定程度上表征。电压故障,例如过电压或欠压将极大地影响循环寿命,锂离子电池的健康状况和安全性。本文提出了一种基于电动车熵的锂离子电池电压异常检测方法。可以通过用于电动车辆的操作服务和管理中心来获得实时的电压波动数据。基于Shannon熵和样本熵分析了监测数据。呈现用于电动车辆的锂离子电池的最佳电压异常检测方法。分析的监测数据显示,改进的香农熵可以预测预先使用电压故障的电池或电池组的准确时间和位置,因此可以提出电动车辆电池的更好的安全管理方案。该方法不仅可以用于电动车辆,而且可以在复杂电压环境中的其他区域中使用。

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