期刊
MEASUREMENT
卷 161, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2020.107904
关键词
Remaining useful life; Long-range dependence; Fractional Brownian motion; Hurst exponent; Maximum likelihood estimation; Fruit-fly Optimization Algorithm
资金
- Natural Science Foundation of Shanghai [17ZR1411900, 14ZR1418500]
In this paper, a novel method base on non-Markovian Fractional Brownian Motion (FBM) is proposed for Lithium-ion batteries remaining useful life (RUL) prediction. Firstly, the FBM degradation model is introduced and the Hurst exponent (H) is calculated. Secondly, the parameters of the FBM model are estimated by maximum likelihood estimation (MLE). The Fruit-fly Optimization Algorithm (FOA) is proposed to optimize the H. Then the procedure for RUL prediction is provided. Capacity degradation data of Lithium-ion batteries is selected as prediction case, and the RUL prediction results are given by two real cases of RUL prediction for lithium-ion batteries. The validity of the proposed method is verified by several evaluation criteria. (C) 2020 Elsevier Ltd. All rights reserved.
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