Bayesian parameter estimation applied to the Li-ion battery single particle model with electrolyte dynamics
This paper presents a Bayesian parameter estimation approach and identifiability analysis for a lithium-ion battery model, to determine the uniqueness, evaluate the sensitivity and quantify the uncertainty of a subset of the model parameters. The analysis was based on the single particle model with...
| Главные авторы: | , , , |
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| Формат: | Journal article |
| Язык: | English |
| Опубликовано: |
Elsevier
2021
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