A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data
Published in Journal of Power Sources, 2022
Using machine learning, we developed a powerful framework for predicting battery aging and extending battery life. Our approach, tested on real-world electric vehicle data, achieves high accuracy with low computational requirements, providing significant potential for improving battery management systems.
Recommended citation: Zhang, Y., Wik, T., Bergström, J., Pecht, M. and Zou, C., 2022. A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data. Journal of Power Sources, 526, p.231110.
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