EV Route Recalculation With Dynamic Charger Discovery

The patent implements dynamic route recalculation by continuously monitoring real-time vehicle data (speed, power output, temperature) and environmental conditions (weather, traffic), then adjusting the charging schedule and charger locations accordingly. This transforms the static route planning into a dynamic system that adapts to changing conditions while maintaining computational efficiency through incremental updates rather than complete recalculation.

The system establishes a feedback loop where real-time sensor data from the vehicle (battery temperature, power consumption, speed) and external data (weather conditions, traffic patterns) are continuously fed back to the route calculation module. This feedback mechanism enables the system to detect deviations from predicted behavior and trigger appropriate route adjustments, resolving the contradiction between adaptability and complexity.

The system performs preliminary route planning based on predicted vehicle behavior and typical driving patterns before the trip begins. This pre-calculated route serves as a baseline that is only adjusted when real-time data indicates significant deviations from expected behavior, reducing the frequency and computational burden of full recalculation while maintaining high accuracy when adjustments are needed.

Instead of continuously recalculating the entire route at every data point, the system applies partial recalculation only when specific thresholds are exceeded (e.g., significant deviation in power consumption, extreme weather conditions). This selective approach maintains routing accuracy for critical decisions while minimizing unnecessary computational overhead and processing time.