2 papers
eess.SY2026
Battery Discharge Modeling for Electric Vehicles: A Hybrid Physics-based Residual Learning Approach
Praharshitha Aryasomayajula, Ting Bai, Andreas A. Malikopoulos
The growing integration of electric vehicle (EV) fleets into transportation services and energy systems requires accurate modeling of battery discharge and state-of-charge (SoC) ev…
eess.SY2025
A Hybrid Physics-Based and Reinforcement Learning Framework for Electric Vehicle Charging Time Prediction
Praharshitha Aryasomayajula, Ting Bai, Andreas A. Malikopoulos
In this paper, we develop a hybrid prediction framework for accurate electric vehicle (EV) charging time estimation, a capability that is critical for trip planning, user satisfact…