基于凸优化-寿命参数退化机理模型的锂离子电池剩余使用寿命预测

针对锂离子电池寿命预测中模型普适性差、预测精度不足等问题,提出一种基于凸优化-寿命参数退化机理模型的锂离子电池剩余使用寿命RUL预测方法。首先构造锂离子电池实际容量与其循环周期的退化机理模型。对锂离子电池寿命试验数据进行凸优化降噪处理;基于预处理得到的可靠性较高的数据,采用最小二乘法对所建机理模型的参数进行辨识,从而得到精确的模型表达式,实现锂离子电池RUL的预测。基于NASA锂离子电池数据集预测并评估锂离子电池的RUL,预测结果验证了模型良好的通用性,误差范围为4%左右。

Prediction of Remaining Useful Life of Lithium-ion Battery Based on Convex Optimization-life Parameter Degradation Mechanism Model

To solve the problems in the life prediction of lithium-ion battery,such as poor model universality and low prediction accuracy,a prediction method for the remaining useful life(RUL)of lithium-ion battery is proposed based on the convex optimization-life parameter degradation mechanism model.First,the degradation mechanism model with the actual capacity of lithium-ion battery and its cycle is constructed.Then,the life test data of lithium-ion battery are processed by convex optimization for noise reduction;based on the data with higher reliability obtained based on preprocessing,the parameters of the mechanism model are identified using the least squares method,thus the exact expression of the model is obtained,which realizes the prediction of lithium-ion battery's RUL.Finally,based on the NASA lithium-ion battery data set,the lithium-ion battery's RUL is predicted and evaluated.The prediction results show that the proposed model is of good generality,and the error range is about 4%.