A Review of Remaining Useful Life Prediction for Energy Storage Components Based on Stochastic Filtering Methods

被引：22
作者：
Shao, Liyuan [1 ]
Zhang, Yong [1 ]
Zheng, Xiujuan [1 ]
He, Xin [2 ]
Zheng, Yufeng [3 ]
Liu, Zhiwei [4 ]
机构：
[1] Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan 430081, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan 430074, Peoples R China
[3] Naval Univ Engn, Natl Key Lab Sci & Technol Vessel Integrated Power, Wuhan 430079, Peoples R China
[4] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automation, Wuhan 430074, Peoples R China
来源：
ENERGIES | 2023年 / 16卷 / 03期
基金：
中国国家自然科学基金;
关键词：
lithium-ion batteries; energy storage components; remaining useful life; kalman filter; particle filter; LITHIUM-ION BATTERIES; FAULT-DIAGNOSIS; DEGRADATION; MODEL; STATE; OPTIMIZATION; MANAGEMENT; SUPERCAPACITOR; PERFORMANCE; PROGNOSTICS;
D O I：
10.3390/en16031469
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Lithium-ion batteries are a green and environmental energy storage component, which have become the first choice for energy storage due to their high energy density and good cycling performance. Lithium-ion batteries will experience an irreversible process during the charge and discharge cycles, which can cause continuous decay of battery capacity and eventually lead to battery failure. Accurate remaining useful life (RUL) prediction technology is important for the safe use and maintenance of energy storage components. This paper reviews the progress of domestic and international research on RUL prediction methods for energy storage components. Firstly, the failure mechanism of energy storage components is clarified, and then, RUL prediction method of the energy storage components represented by lithium-ion batteries are summarized. Next, the application of the data-model fusion-based method based on kalman filter and particle filter to RUL prediction of lithium-ion batteries are analyzed. The problems faced by RUL prediction of the energy storage components and the future research outlook are discussed.
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页数：22
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