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On line Bayes Estimation of Capacity Fading for Battery Lifetime Assessment
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers Inc., 2019.
-
Abstract
- This study is devoted to a proper modeling and estimation method of battery capacity fading under the widely adopted exponential decay model, in view of an efficient lifetime assessment of battery. The method is based upon recursive online Bayes estimation of capacity fading. It is also shown how a degradation-based modeling of battery reliability can be adopted, leading to a Bernstein lifetime distribution. The performances of the proposed method are successfully evaluated by means of extensive Monte Carlo simulations based upon available literature and experimental data. A brief account is also given of a robustness analysis of the proposed methodology with respect to departures from the assumption of Gaussian noise.
- Subjects :
- Battery (electricity)
Computer science
020209 energy
Monte Carlo method
Bayes Estimation
Battery
02 engineering and technology
Kalman filter
021001 nanoscience & nanotechnology
Reliability
symbols.namesake
Bayes' theorem
Robustness (computer science)
Gaussian noise
0202 electrical engineering, electronic engineering, information engineering
symbols
Fading
Bernstein Distribution
capacity prediction
0210 nano-technology
Algorithm
Reliability (statistics)
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....61dd5b87c9dae861fe87f0d0a595482e