The roadmap concludes with an AI-driven system that autonomously manages energy flow between the fleet, buildings, and the grid. It optimizes charging cycles based on price signals and battery health without human intervention.
Machine learning models predict fleet usage and grid demand, ensuring batteries are charged during optimal cost windows while preserving maximum cycle life.
Full synchronization of the charging fabric with the supply chain and local utilities for a self-sustaining, carbon-neutral mobility ecosystem.