锂(药物)
锂离子电池
计算机科学
离子
荷电状态
可靠性工程
作者
Yinjiao Xing,Eden W. M. Ma,Kwok-Leung Tsui,Michael Pecht
标识
DOI:10.1016/j.microrel.2012.12.003
摘要
We developed an ensemble model to characterize the capacity degradation and predict the remaining useful performance (RUP) of lithium-ion batteries. Our model fuses an empirical exponential and a polynomial regression model to track the battery’s degradation trend over its cycle life based on experimental data analysis. Model parameters are adjusted online using a particle filtering (PF) approach. Experiments were conducted to compare our ensemble model’s prediction performance with the individual results of the exponential and polynomial models. A validation set of experimental battery capacity data was used to evaluate our model. In our conclusion, we presented the limitations of our model.
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