Remaining Useful Life Predictionmethod for Lithium-ion Batteries Based on CEEMD-AKF
Aiming at the problems of complex modeling and large errors in the prediction of remaining useful life (RUL) of lithium-ion batteries, a novel RUL prediction method was proposed. Firstly, the battery historical capacity was decomposed into a set of intrinsic mode functions (IMFs) and one residue...
Saved in:
| Main Authors: | CHEN Xiang, XIA Fei |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2023-06-01
|
| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2211 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model
by: Wangyang Hu, et al.
Published: (2024-11-01) -
A Method for Predicting the Remaining Life of Lithium-Ion Batteries Based on an Improved Dempster–Shafer Evidence Theory Framework
by: Tongrui Zhang, et al.
Published: (2025-06-01) -
Early Prediction of Remaining Useful Life for Lithium-Ion Batteries with the State Space Model
by: Yuqi Liang, et al.
Published: (2024-12-01) -
A review of lithium-ion battery state of health and remaining useful life estimation methods based on bibliometric analysis
by: Xu Lei, et al.
Published: (2024-12-01) -
Robust remaining useful life prediction of lithium-ion battery with convolutional denoising autoencoder
by: Asri Rizki Yuliani, et al.
Published: (2024-07-01)