Driving Confidence: How Machine Learning and Hybrid Models Are Reducing Range Anxiety in Electric Vehicles
A comprehensive 2025 systematic review shows that neural‑networks and hybrid approaches now dominate EV range prediction, slicing error margins to under two kilometres in real‑world tests. By marrying data‑driven models with physics‑based simulations, researchers are finally tackling the long‑standing range‑anxiety problem that has stalled mass adoption.