Use Case 2:

Enhanced Power Range Forecast Based on Road/Driver Profiling

Most current energy efficiency strategies rely on average driving profiles, overlooking individual behavior.
This leads to inaccurate range estimations and impairs trip planning, often increasing range anxiety. Existing tools also fail to account for real-world factors such as road conditions, traffic, weather, and battery aging.

Approach

TWIN-LOOP is building an advanced power range estimation tool that adapts to the driver’s actual behavior and environment.
It will combine historical mobility data with battery health monitoring to create detailed road and driver profiles.
These profiles will feed a real-time forecasting system that provides personalized range predictions and eco-driving suggestions through in-vehicle interfaces.

Range prediction

personalized and multi-factor

Real-time consideration

of temperature, traffic, road type, comfort settings, and battery health

Smart driving suggestions

in order to to optimize efficiency

Better planning

and reduced range anxiety for users

Expected Outcomes

A next-generation range estimator that enables more accurate trip planning and encourages energy-efficient driving behavior tailored to each user’s habits and conditions.