How do you design a comprehensive range optimization system for an EV?

Range optimization systems include: Predictive energy management using route data (terrain, traffic), eco-mode limiting acceleration and top speed, intelligent thermal management (minimizing HVAC load while maintaining comfort), optimal charging planning for trips (stops, timing, pricing), driving coaching providing real-time efficiency feedback, preconditioning scheduling to use grid power, and load management (deferring non-critical loads). Implementation combines vehicle controls, navigation, cloud services, and user interface. Machine learning improves predictions based on driver behavior. System must balance range optimization against driver convenience and safety. Metrics include range accuracy, user adoption of eco features, and trip completion without range anxiety.