Data-driven approach for the prediction of remaining useful life

Guo Xie, Xin Li, Chunli Zhang, Xinhong Hei, F. Qian, Shaolin Hu, Yuan Cao, B. Cai
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Abstract

Based on the data of the life cycle degradation of lithium ion batteries in Maryland University, this paper analyzes the life degradation process of lithium ion batteries and selects the empirical degradation model. A method for the prediction of lithium ion battery based on EKF / KF is proposed. The EKF algorithm is used to estimate the historical data. Then, the remaining useful life of the lithium ion battery is estimated based on the KF algorithm. The validity of the algorithm is verified by the lithium ion battery data of the University of Maryland, and the algorithm is evaluated by the MAE index.
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预测剩余使用寿命的数据驱动方法
本文基于马里兰大学锂离子电池生命周期退化数据,分析了锂离子电池的寿命退化过程,选择了经验退化模型。提出了一种基于EKF / KF的锂离子电池寿命预测方法。采用EKF算法对历史数据进行估计。然后,基于KF算法估计锂离子电池的剩余使用寿命。通过马里兰大学的锂离子电池数据验证了算法的有效性,并通过MAE指数对算法进行了评价。
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