Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
Fundamental battery research is constrained by the time‐consuming process of long‐term charge–discharge cycling stability testing. Here, we introduce DeepBat, a deep learning framework designed to shorten cycling tests by achieving accurate, long‐horizon prediction of cycle‐level capacities under limited data condition...