Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
672
total citations
- FWCI
- 32.77
- Percentile
- 100%
- References
- 242
Citations per year
Authors
4- PSPrashant Shrivastava
University of Malaya
- TKTey Kok SoonCorresponding
University of Malaya
- MYMohd Yamani Idna Idris
University of Malaya
- SMSaad Mekhilef
University of Malaya
Topics & keywords
Topics
Keywords
- Kalman filter
- State of charge
- Battery (electricity)
- Extended Kalman filter
- Estimation
- Online model
- Process (computing)
- Lithium (medication)
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.