Early prediction of battery life by learning from both time-series and histogram data
Published in Journal of Power Sources, 2023
Our study presents a novel approach for early battery life prediction by combining time-series and usage-related data, achieving robust predictions even with limited early data. This method provides a more accurate and practical solution for managing battery health across diverse conditions, paving the way for improved battery management systems.
Recommended citation: Zhang, Y., Wik, T., Huang, Y., Bergström, J. and Zou, C., 2023. Early prediction of battery life by learning from both time-series and histogram data. IFAC-PapersOnLine, 56(2), pp.3770-3775.
Download Paper