Adaptive EV

Adaptive electric vehicles (EVs) are a focus of current research, aiming to optimize charging infrastructure and vehicle operation for improved efficiency and user experience. This involves developing sophisticated models, such as those based on maximum flow algorithms for optimal charging station placement, LSTM networks for dynamic wireless charging control, and physics-informed graph neural networks for accurate charging demand prediction. These advancements address challenges like range anxiety and grid integration, ultimately contributing to the wider adoption of EVs and sustainable transportation.