A novel state-of-health prediction method based on long short-term memory network with attention mechanism for lithium-ion battery
The state-of-health (SOH) of lithium-ion batteries is one of the important core issues of battery management systems (BMS). After the battery reaches its end of life (EOL), its safety performance will deteriorate rapidly, which will be a huge threat to electric vehicles (EVs). Therefore, the accurat...
Główni autorzy: | Xiaodong Zhang, Jing Sun, Yunlong Shang, Song Ren, Yiwei Liu, Diantao Wang |
---|---|
Format: | Artykuł |
Język: | English |
Wydane: |
Frontiers Media S.A.
2022-08-01
|
Seria: | Frontiers in Energy Research |
Hasła przedmiotowe: | |
Dostęp online: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.972486/full |
Podobne zapisy
-
Long Short-Term Memory With Attention Mechanism for State of Charge Estimation of Lithium-Ion Batteries
od: Tadele Mamo, i wsp.
Wydane: (2020-01-01) -
Attention-Based Long Short-Term Memory Recurrent Neural Network for Capacity Degradation of Lithium-Ion Batteries
od: Tadele Mamo, i wsp.
Wydane: (2021-10-01) -
A Hybrid Method for State-of-Charge Estimation for Lithium-Ion Batteries Using a Long Short-Term Memory Network Combined with Attention and a Kalman Filter
od: Xinghao Zhang, i wsp.
Wydane: (2022-09-01) -
Ensemble Model Based on Stacked Long Short-Term Memory Model for Cycle Life Prediction of Lithium–Ion Batteries
od: Fu-Kwun Wang, i wsp.
Wydane: (2020-05-01) -
Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network
od: Yuqian Fan, i wsp.
Wydane: (2023-10-01)