IEEE

State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches

Abstract: Precise estimation of both state-of-charge (SoC) and state-of-health (SoH) is crucial for optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and ...
IEEE

Integrating Machine Learning into supervisory control of power systems for minimizing line losses after abnormal state detection

Abstract: A novel framework for integrating Machine Learning (ML) algorithms into the supervisory control of multi-machine power systems is proposed. In particular, ML is used to identify the ...