CyFormer: Accurate State-of-Health Prediction of Lithium-Ion Batteries via Cyclic Attention

no code implementations • 17 Apr 2023 • Zhiqiang Nie, Jiankun Zhao, Qicheng Li, Yong Qin

The experiment shows that our method attains an MAE of 0. 75\% with only 10\% data for fine-tuning on a testing battery, surpassing prior methods by a large margin.

Management Transfer Learning