This project implements a Physics-Informed Neural Network (PINN) for electric vehicle range prediction under real traffic conditions. By embedding physical constraints and traffic-aware dynamics into the learning process, the model enhances generalization and robustness compared to purely data-driven models.
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Updated
Jun 19, 2026 - Jupyter Notebook