How do EVs estimate remaining driving range?

Range estimation combines: Current battery state (SOC, temperature, degradation), historical energy consumption (adapting to driving style), planned route information (terrain, traffic), climate control load prediction, and vehicle efficiency models. Advanced systems use machine learning trained on driver patterns and route-specific data. Estimation becomes more accurate as the drive progresses. Challenges include handling unexpected conditions, providing confidence intervals rather than point estimates, and managing driver range anxiety. Display strategies may show range brackets (optimistic to pessimistic) for transparency.