The research focuses on predicting the battery’s state-of-charge by using historical SOC data as training input, comparing two predictive techniques: LSTM neural networks optimized with genetic algori
The research focuses on predicting the battery’s state-of-charge by using historical SOC data as training input, comparing two predictive techniques: LSTM neural networks optimized with genetic algori
SOC prediction is of great value to electric vehicle status assessment. Informer model is better than other models in SOC prediction, but there is still a gap in practical application. Therefore, base
SOC prediction is of great value to electric vehicle status assessment. Informer model is better than other models in SOC prediction, but there is still a gap in practical application. Therefore, base
