An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
University of Science and Technology of China
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
520
total citations
- FWCI
- 26.55
- Percentile
- 100%
- References
- 25
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Battery (electricity)
- Artificial neural network
- Reliability (semiconductor)
- Process (computing)
- Voltage
- Engineering
- Nonlinear system
- Sampling (signal processing)
No related works found for this paper.