1. Performance comparison of NARX & RNN-LSTM neural networks for LiFePO4 battery state of charge estimation;Abbas,2019
2. Towards a smarter battery management system for electric vehicle applications: A critical review of lithium-ion battery state of charge estimation;Ali;Energies,2019
3. Online capacity estimation for lithium-ion battery cells via an electrochemical model-based adaptive interconnected observer;Allam;IEEE Trans. Control Syst. Technol.,2020
4. Lithium-ion batteries modeling using NARX nonlinear model;Boujoudar,2019
5. Multibattery-fed neutral-point-clamped DC–AC converter with SoC balancing control to maximize capacity utilization;Busquets-Monge;IEEE Trans. Ind. Electron.,2019