Lithium-Ion Battery Capacity Estimation: A Method Based on Visual Cognition
This study introduces visual cognition into Lithium-ion battery capacity estimation. The proposed method consists of four steps. First, the acquired charging current or discharge voltage data in each cycle are arranged to form a two-dimensional image. Second, the generated image is decomposed into m...
Saved in:
Main Authors: | Yujie Cheng, Laifa Tao, Chao Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2017/6342170 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Methods for state of health estimation for lithium-ion batteries: An essential review
by: Rhdifa Houda, et al.
Published: (2025-01-01) -
A Hybrid Deep Learning Method for the Estimation of the State of Health of Lithium-Ion Batteries
by: Shuo Cheng
Published: (2025-01-01) -
An Empirical Rate Constant Based Model to Study Capacity Fading in Lithium Ion Batteries
by: Srivatsan Ramesh, et al.
Published: (2015-01-01) -
Capacity Fade Estimation Through a Single Relaxation Point of Lithium-Ion Battery for Electric Vehicle Applications
by: Simone Barcellona, et al.
Published: (2024-01-01) -
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)