SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN
Accurate estimation of the state of health (SOH) of lithium-ion batteries is essential to ensure the safe and stable operation of equipment such as electric vehicles. To address the limitations in the accuracy and robustness of existing methods under complex operating conditions, a CNN-BiGRU-KAN (CG...
Saved in:
| Main Authors: | Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Batteries |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-0105/11/5/167 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Time-Series Forecasting Method Based on Hierarchical Spatio-Temporal Attention Mechanism
by: Zhiguo Xiao, et al.
Published: (2025-06-01) -
An Adaptive BiGRU-ASSA-iTransformer Method for Remaining Useful Life Prediction of Bearing in Aerospace Manufacturing
by: Youlong Lyu, et al.
Published: (2025-05-01) -
CNN-Transformer-BiGRU: A Pump Fault Detection Model for Industrialized Recirculating Aquaculture Systems
by: Wei Shao, et al.
Published: (2025-05-01) -
DeepRNAac4C: a hybrid deep learning framework for RNA N4-acetylcytidine site prediction
by: Guohua Huang, et al.
Published: (2025-08-01) -
Joint Entity–Relation Extraction for Knowledge Graph Construction in Marine Ranching Equipment
by: Du Chen, et al.
Published: (2025-07-01)