RUL prediction of lithium ion battery based on CEEMDAN-CNN BiLSTM model-Reference-Cited by-同舟云学术

RUL prediction of lithium ion battery based on CEEMDAN-CNN BiLSTM model

Published:2023-10 Issue: Volume:9 Page:1299-1306
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Guo Xifeng,Wang Kaize,Yao Shu,Fu Guojiang,Ning Yi

Funder

Shenyang Municipal Bureau of Science and Technology

Publisher

Elsevier BV

Subject

General Energy

Reference16 articles.

1. Survey on lithium-ion battery health assessment and cycle life estimation;Liu;Chin J Sci Instrum,2015

2. Analysis of development status and application prospect of energy storage technology;Wu;J Electr Power,2021

3. Overview of health state estimation of lithium ion battery pack;Liu;J Instrum,2020

4. Prediction of remaining useful life for a composite electrode lithium-ion battery cell using an electrochemical model to estimate the state of health;Kaveh;J Power Sources,2021

5. Overview of RUL prediction methods for lithium ion batteries;Liu;Comput Eng,2020

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