Prediction of the Remaining Useful Life of Supercapacitors

被引:47
|
作者
Yi, Zhenxiao [1 ,2 ]
Zhao, Kun [3 ]
Sun, Jianrui [3 ]
Wang, Licheng [4 ]
Wang, Kai [2 ]
Ma, Yongzhi [1 ]
机构
[1] Qingdao Univ, Coll Mech & Elect Engn, Qingdao 266000, Peoples R China
[2] Qingdao Univ, Weihai Innovat Res Inst, Sch Elect Engn, Qingdao 266000, Peoples R China
[3] Shandong Wide Area Technol Co Ltd, Dongying 257081, Peoples R China
[4] Zhejiang Univ Technol, Sch Informat Engn, Hangzhou 310023, Peoples R China
基金
中国国家自然科学基金;
关键词
TEMPERATURE; STABILITY;
D O I
10.1155/2022/7620382
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As a new type of energy-storage device, supercapacitors are widely used in various energy storage fields because of their advantages such as fast charging and discharging, high power density, wide operating temperature range, and long cycle life. However, the degradation and failure of supercapacitors in large-scale applications will adversely affect the operation of the whole system. To maximize the efficiency of supercapacitors without damaging the equipment and to ensure timely replacement before reaching the end of their useful life, it is critical to accurately predict the remaining useful life of supercapacitors. This paper presents a comprehensive review of model-based and data-driven approaches to predict the remaining useful life of supercapacitors, introduces the characteristics of the various methods, and foresees future trends, with the expectation of providing a reference for further research in this field.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Remaining Useful Life Prediction for Components of Automated Guided Vehicles
    Mrugalska, Beata
    Stetter, Ralf
    ADVANCES IN MANUFACTURING, PRODUCTION MANAGEMENT AND PROCESS CONTROL, 2020, 971 : 420 - 429
  • [42] Investigation on Rolling Bearing Remaining Useful Life Prediction: A Review
    Liu, Huiyu
    Mo, Zhenling
    Zhang, Heng
    Zeng, Xiaofei
    Wang, Jianyu
    Miao, Qiang
    2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018), 2018, : 979 - 984
  • [43] CHMM for tool condition monitoring and remaining useful life prediction
    Wang, Mei
    Wang, Jie
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 59 (5-8): : 463 - 471
  • [44] Bearing Remaining Useful Life Prediction Based on Relation Network
    Zhao Z.-H.
    Zhang R.
    Sun S.-S.
    Zidonghua Xuebao/Acta Automatica Sinica, 2023, 49 (07): : 1549 - 1557
  • [45] Remaining Useful Life Prediction for Degradation Processes With Memory Effects
    Xi, Xiaopeng
    Chen, Maoyin
    Zhou, Donghua
    IEEE TRANSACTIONS ON RELIABILITY, 2017, 66 (03) : 751 - 760
  • [46] Battery remaining useful life prediction at different discharge rates
    Wang, Dong
    Yang, Fangfang
    Zhao, Yang
    Tsui, Kwok-Leung
    MICROELECTRONICS RELIABILITY, 2017, 78 : 212 - 219
  • [47] A remaining useful life prediction framework with adaptive dynamic feedback
    Wang, Zhijian
    Xu, Zhuotao
    Li, Yanfeng
    Ren, Weibo
    Dong, Lei
    Chen, Zhongxin
    Du, Wenhua
    Wang, Junyuan
    Shi, Hui
    Zhang, Xiaohong
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2024, 218
  • [48] A Remaining Useful Life Prediction Method With Degradation Model Calibration
    Ren, Chao
    Li, Huiqin
    Zhang, Zhengxin
    Si, Xiaosheng
    2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 172 - 177
  • [49] Continual Residual Reservoir Computing for Remaining Useful Life Prediction
    Wang, Tiancheng
    Liu, Huaping
    Guo, Di
    Sun, Xi-Ming
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (01) : 931 - 940
  • [50] Fuel Cell Ageing Prediction and Remaining Useful Life Forecasting
    BenChikha, Karem
    Kandidayeni, Mohsen
    Amamou, Ali
    Kelouwani, Sousso
    Agbossou, Kodjo
    Ben Abdelghani, Afef Bennani
    2022 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2022,