A Method for Estimating the State of Health of Lithium-Ion Batteries Based on Hybrid Neural Network Model
The results demonstrate that the proposed model significantly outperforms other comparison methods in terms of MAE, MAPE, and RMSE for three battery cells under both 80% and 60% training set ratios, confirming its comprehensive superiority in estimation accuracy, robustness, and generalization capability with limited s...