Lithium-Ion Battery Degradation Based on the CNN-Transformer Model
Due to its innovative structure and superior handling of long time series data with parallel input, the Transformer model has demonstrated a remarkable effectiveness. However, its application in lithium-ion battery degradation research requires a massive amount of data, which is disadvantageous for...
Saved in:
Main Authors: | Yongsheng Shi, Leicheng Wang, Na Liao, Zequan Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/18/2/248 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on the Thermal Runaway Behavior and Flammability Limits of Sodium-Ion and Lithium-Ion Batteries
by: Changbao Qi, et al.
Published: (2025-01-01) -
State of Charge Estimation for Lithium Battery in Shipboard DC Power Grid Based on Differential Evolutionary Algorithm
by: Yanbiao Li, et al.
Published: (2025-01-01) -
Lithium Battery Degradation and Failure Mechanisms: A State-of-the-Art Review
by: Joselyn Stephane Menye, et al.
Published: (2025-01-01) -
Advances in Recycling Technologies of Critical Metals and Resources from Cathodes and Anodes in Spent Lithium-Ion Batteries
by: Shuwen Wang, et al.
Published: (2024-12-01) -
Ensuring Safety and Reliability: An Overview of Lithium-Ion Battery Service Assessment
by: Cezar Comanescu
Published: (2024-12-01)