Joint Prediction of Lithium Battery State of Health and Remaining Useful Life Based on Indirect Health Features Optimization and Multi-Model Fusion

被引：0
|
作者：
Cai, Yusi [1 ]
Li, Zewen [1 ]
Liu, Ping [1 ]
Xia, Xiangyang [1 ]
Wang, Wen [1 ]
机构：
[1] School of Electrical and Information Engineering, Changsha Ligong University, Changsha,410000, China
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2024年 / 39卷 / 18期
关键词：
Bayesian model averaging - Health factors - Indirect health factor - Mean absolute error - Remaining useful life predictions - Remaining useful lives - Root mean squared errors - Short term memory - State of health - Support vector regressions;
D O I：
10.19595/j.cnki.1000-6753.tces.231057
中图分类号：
学科分类号：
摘要：
24
引用
收藏
页码：5883 / 5898
相关论文
共 50 条
  • [1] Joint prediction of state of health and remaining useful life for lithium-ion batteries based on health features optimization and multi-model fusion
    Zheng, Di
    Man, Shuo
    Guo, Xifeng
    Ning, Yi
    IONICS, 2024, 30 (10) : 6239 - 6252
  • [2] State of Health Diagnosis and Remaining Useful Life Prediction for Lithium-ion Battery Based on Data Model Fusion Method
    Cui, Xiangbo
    Hu, Tete
    IEEE ACCESS, 2020, 8 : 207298 - 207307
  • [3] A multi-model feature fusion model for lithium-ion battery state of health prediction
    Yao, Xing-Yan
    Chen, Guolin
    Hu, Liyue
    Pecht, Michael
    JOURNAL OF ENERGY STORAGE, 2022, 56
  • [4] Lithium-ion battery health state and remaining useful life prediction based on hybrid model MFE-GRU-TCA
    Wang, Xiaohua
    Dai, Ke
    Hu, Min
    Ni, Nanbing
    JOURNAL OF ENERGY STORAGE, 2024, 95
  • [5] Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction
    Cao, Jie
    Wang, Shunli
    Fernandez, Carlos
    JOURNAL OF SOLID STATE ELECTROCHEMISTRY, 2024, 28 (01) : 19 - 32
  • [6] Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction
    Jie Cao
    Shunli Wang
    Carlos Fernandez
    Journal of Solid State Electrochemistry, 2024, 28 : 19 - 32
  • [7] Battery state of health modeling and remaining useful life prediction through time series model
    Lin, Chun-Pang
    Cabrera, Javier
    Yang, Fangfang
    Ling, Man-Ho
    Tsui, Kwok-Leung
    Bae, Suk-Joo
    APPLIED ENERGY, 2020, 275
  • [8] Prediction of State-of-Health and Remaining-Useful-Life of Battery Based on Hybrid Neural Network Model
    Thi Minh Lien, Le
    Quoc Anh, Vu
    Duc Tuyen, Nguyen
    Fujita, Goro
    IEEE ACCESS, 2024, 12 : 129022 - 129039
  • [9] Prediction of remaining useful life for lithium-ion battery with multiple health indicators
    Su C.
    Chen H.
    Wen Z.
    Eksploatacja i Niezawodnosc, 2021, 23 (01) : 176 - 183
  • [10] Prediction of remaining useful life for lithium-ion battery with multiple health indicators
    Su, Chun
    Chen, Hongjing
    Wen, Zejun
    EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2021, 23 (01): : 176 - 183
12345