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Lithium-ion batteries Remaining Useful Life Prediction Method Considering Recovery Phenomenon

机译：考虑恢复现象的锂离子电池剩余使用寿命预测方法

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摘要

Estimation of lithium battery remaining useful life (RUL) is the key to lithium battery healthmanagement. In the process of intermittent discharging lithium batteries, the recovery phenomenon willhave a relatively large impact on the life of lithium batteries. However, in the nowadays research on theRUL of lithium batteries, the recovery phenomenon in the process of intermittent discharging lithiumbatteries is rarely taken into account. In this paper, a degradation model and RUL prediction method oflithium batteries considering the recovery effect are proposed. Firstly, under the framework of Wienerprocess theory, the RUL degradation model without recovery effect is established. Then, by consideringthe effect of lithium battery recovery on remaining useful life, the RUL degradation model with recoveryeffect is derived. And in the sense of the first passage time, theoretically, the RUL distribution of lithiumbatteries with recovery effects or no recovery effects is derived. Furthermore, the unknown parametersof the model are estimated by the method of maximum likelihood estimation. Finally, the designedexperiment obtained the degradation data of 18650 lithium battery, and the method in this paper wasapplied to verify the effectiveness of the proposed method.
机译：估计锂电池的剩余使用寿命（RUL）是锂电池健康管理的关键。在锂电池的间歇放电过程中，恢复现象将对锂电池的寿命产生较大的影响。然而，在当今对锂电池的RUL的研究中，很少考虑锂电池间歇放电过程中的恢复现象。提出了一种考虑回收效应的锂电池退化模型和RUL预测方法。首先，在维纳过程理论的框架下，建立了没有恢复效果的RUL降解模型。然后，通过考虑锂电池回收对剩余使用寿命的影响，推导了具有回收效应的RUL降解模型。并且在第一次通过时间的意义上，理论上得出具有恢复作用或没有恢复作用的锂电池的RUL分布。此外，通过最大似然估计方法估计模型的未知参数。最后，通过设计实验获得了18650锂电池的退化数据，并采用本文方法验证了该方法的有效性。

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