Bayesian hierarchical modelling for battery lifetime early prediction. (arXiv:2211.05697v1 [eess.SY])

Accurate prediction of battery health is essential for real-world system
management and lab-based experiment design. However, building a life-prediction
model from different cycling conditions is still a challenge. Large lifetime
variability results from both cycling conditions and initial manufacturing
variability, and this -- along with the limited experimental resources usually
available for each cycling condition -- makes data-driven lifetime prediction
challenging. Here, a hierarchical Bayesian linear model is proposed for battery
life prediction, combining both individual cell features (reflecting
manufacturing …

arxiv battery bayesian hierarchical modelling prediction