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

Machine-Learning-Based Adaptive Anomaly Detection for Control Feedback Interferences in Solid-State Transformers

Abstract: Solid-state transformer (SST)-based power substations have emerged as a pivotal innovation for integrating distributed generation and energy storage systems within modern grid. However, SSTs ...