高技术通讯2017，Vol.27Issue(8)：699-707,9.DOI:10.3772/j.issn.1002-0470.2017.08.003
基于粒子滤波算法的锂离子电池剩余寿命预测方法研究
Research on prediction of the remaining useful life of lithium-ion batteries based on particle filtering
摘要
Abstract
The particle filtering is used to study the prediction of the remaining useful life ( RUL) of lithium-ion batter-ies, and a simple and effective algorithm fusing the model method and the data-driven method for RUL predicting is proposed.The algorithm uses the fusion of the model method and the data-driven method to modify the double expo-nential empirical degradation model to reduce the model parameters and the parameter training difficulty, uses the particle filter algorithm to track the battery capacity degradation process, and uses the auto regression model to modify the observation value of the state space equation to improve the prediction accuracy.The experimental results show that the proposed algorithm can effectively predict the remaining useful life of lithium batteries.关键词
锂离子电池/剩余寿命(RUL)/粒子滤波/双指数经验模型Key words
lithium-ion battery/remaining useful life ( RUL)/particle filter/double exponential empirical model引用本文复制引用
张凝,徐皑冬,王锴,韩晓佳,SeungHoHong..基于粒子滤波算法的锂离子电池剩余寿命预测方法研究[J].高技术通讯,2017,27(8):699-707,9.基金项目
国家自然科学基金(71651147005)资助项目. （71651147005）
