A novel hybrid scheme for remaining useful life prognostic based on secondary decomposition, BiGRU and error correction-Reference-Cited by-同舟云学术

A novel hybrid scheme for remaining useful life prognostic based on secondary decomposition, BiGRU and error correction

Published:2023-08 Issue: Volume:276 Page:127565
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Zhu Ting,Wang Wenbo,Yu Min

Funder

National Natural Science Foundation of China

Wuhan University of Science and Technology

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference45 articles.

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2. Flexible battery state of health and state of charge estimation using partial charging data and deep learning;Tian;Energy Storage Mater,2022

3. Prediction of Li-ion battery capacity degradation considering polarization recovery with a hybrid ensemble learning model;Tong;Energy Storage Mater,2022

4. Prediction of Li-ion battery capacity degradation considering polarization recovery with a hybrid ensemble learning model;Tong;Energy Storage Mater,2022

5. Remaining useful life prediction for lithium-ion battery storage system: a comprehensive review of methods, key factors, issues and future outlook;Shaheer;Energy Rep,2022

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