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This research paper presents CART-GX, a novel hybrid model that utilizes advanced deep learning techniques for accurate State of Health (SoH) prediction of lithium-ion batteries in electric vehicles (EVs). The model combines CNNs, GRUs, attention mechanisms, and transformers, achieving exceptional performance on NASA and CALCE datasets, with RMSE values as low as 0.0130% and R² values exceeding 99%. The study emphasizes the importance of accurate SoH predictions for optimizing battery management and enhanci

Author

ghada.toumi

Language

EN