Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural network
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
245
total citations
- FWCI
- 18.34
- Percentile
- 100%
- References
- 50
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Prognostics
- Artificial neural network
- Battery capacity
- Battery (electricity)
- Computer science
- Artificial intelligence
- Deep learning
- Machine learning
UN Sustainable Development Goals
- Responsible consumption and production
No related works found for this paper.