Collaborative framework of Transformer and LSTM for enhanced state-of-charge estimation in lithium-ion batteries
Beihang University · Imperial College London · +3 more institutions
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
43
total citations
- FWCI
- 23.28
- Percentile
- 100%
- References
- 48
Citations per year
Authors
11Topics & keywords
Topics
Keywords
- Transformer
- Ion
- State of charge
- Lithium (medication)
- State (computer science)
- Estimation
- Electrical engineering
- Computer science
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.