Collection of cycle life tests of Li-ion batteries from the Cell Analysis, Modeling, and Prototyping (CAMP) Facility at Argonne National Laboratory. The dataset contains all 0 cells used by Paulson et
The code in our paper 'A novel deep learning-based life prediction method for lithium-ion batteries with strong generalization capability under multiple cycle profiles'.
The BatteryPredict_Code is developed by Yixin Yang to predict the lithium-ion battery life based on machine learning for different applications (battery life early prediction and RUL prediction). This
This training dataset was calculated using the mechanistic modeling approach. See the “Benchmark Synthetic Training Data for Artificial Intelligence-based Li-ion Diagnosis and Prognosis“ publication f
A novel RUL prediction approach for lithium-ion batteries using quantum particle swarm optimization (QPSO)-based particle filter (PF) is proposed. Compared to particle swarm optimization (PSO)-based P