Presentation Information
[B3-P202-12]A Universal Data-Driven Model for Battery Degradation Prediction: Achieving High Accuracy through End-to-End Learning
*Inseop Kim1,2, Junhyeong Lee1,3, Sung Won Han2, Chan-Woo Lee1,4 (1. Korea Institute of Energy Res. (Korea), 2. Korea Univ. (Korea), 3. Hanyang Univ. (Korea), 4. University of Science and Tech. (Korea))
Keywords:
Lithium-ion Battery,State-of-health Estimation,Deep Learning,Battery Life Forecasting