Explainable OptiCNN-SLSTM hybrid model for enhanced lithium-ion battery state of health prediction
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Researchers have developed a hybrid model for predicting the state of health of lithium-ion batteries, which could enhance their performance in electric vehicles. The model combines elements of deep learning, including CNN and LSTM components, with optimization techniques. Different variations of the model have been proposed, incorporating features such as spatial attention and evolutionary optimization.