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A framework for Li-ion battery prognosis based on hybrid Bayesian physics-informed neural networks
Li-ion batteries are the main power source used in electric propulsion applications (e.g., electric cars, unmanned aerial vehicles, and advanced air mobility aircraft). Analytics-based monitoring and forecasting for metrics such as state of charge and state of health based on battery-specific usage...
Autores principales: | Nascimento, Renato G., Viana, Felipe A. C., Corbetta, Matteo, Kulkarni, Chetan S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449926/ https://www.ncbi.nlm.nih.gov/pubmed/37620364 http://dx.doi.org/10.1038/s41598-023-33018-0 |
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