IEEE

Adaptive Reinforcement Learning Framework for Optimized Energy Management in Hybrid Electric Vehicles Using Synthetic Driving Environments and Open-Source Simulation Models

Abstract: Conventional heuristic approaches are sometimes used to model energy management strategies for HEVs, especially for Rule-Based car models, but RL is the solution that presents a shift in ...
IEEE

A Digital Twin Framework for Dual-Path Estimation of Battery State of Charge and State of Health Using Hybrid Physics-Informed Machine Learning

Abstract: Digital Twin (DT) technology enhances conventional Battery Management Systems (BMS) by creating dynamic virtual models that replicate physical assets. This paper presents a novel ...