A Hybrid Deep Learning Method for the Estimation of the State of Health of Lithium-Ion Batteries
This paper proposes a method for estimating the state of health (SOH) of lithium-ion batteries (LIBs) using a combination of vision transformer (VIT) and gated recurrent unit (GRU) networks. The new scheme adopts a VIT to extract features from the battery measured data and incorporates a GRU network...
Сохранить в:
| Главный автор: | |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wiley
2025-01-01
|
| Серии: | International Transactions on Electrical Energy Systems |
| Online-ссылка: | http://dx.doi.org/10.1155/etep/2442893 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|