"State-of-Charge Estimation of Li-ion Battery using Gated Recurrent Uni" by M. A. Hannan, Dickson N.T. How et al.
Deep learning has gained much traction in application to state-of-charge (SOC) estimation for Li-ion batteries in electric vehicle applications. However, with the vast selection of architectures and hyperparameter combinations, it remains challenging to design an accurate and robust SOC estimation model with a sufficiently low computation cost. Therefore, this study provides a comparative evaluation among commonly used deep learning models from the recurrent, convolutional and feedforward architecture benchmarked on an openly available Li-ion battery dataset. To evaluate model robustness and g...
Source: uow.edu.au