A Transferable Prediction Approach for the Remaining Useful Life of Lithium-Ion Batteries Based on Small Samples
Predicting the remaining useful life (RUL) of batteries can help users optimize battery management strategies for better usage planning. However, the RUL prediction accuracy of lithium-ion batteries will face challenges due to fewer data samples available for the new type of battery. This paper prop...
Main Authors: | Haochen Qin, Xuexin Fan, Yaxiang Fan, Ruitian Wang, Qianyi Shang, Dong Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/14/8498 |
Similar Items
-
A Computationally Efficient Approach for the State-of-Health Estimation of Lithium-Ion Batteries
by: Haochen Qin, et al.
Published: (2023-07-01) -
Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction
by: Siyu Jin, et al.
Published: (2021-12-01) -
Remaining-Useful-Life Prediction for Li-Ion Batteries
by: Yeong-Hwa Chang, et al.
Published: (2023-03-01) -
XGBoost-Based Remaining Useful Life Estimation Model with Extended Kalman Particle Filter for Lithium-Ion Batteries
by: Sadiqa Jafari, et al.
Published: (2022-12-01) -
A feature fusion optimization algorithm for predicting the remaining useful life of lithium-ion batteries
by: Xinghong Zhang, et al.
Published: (2023-08-01)