Methods and systems for sustainable charging of an electric vehicle

This invention describes a system that helps electric vehicle drivers find the best places and times to charge their car. It works by having the car send anonymous information about its battery and past charging habits to a cloud-based system. This system then considers factors like sustainability, cost, and driver preferences to rank potential charging options and sends personalized recommendations back to the car. The system specifically uses details like previous charging times, energy sources, electricity prices, current battery charge, and the car's location to make these recommendations.

Why it matters: Since 2022, the rapid advancements in machine learning tools and cloud infrastructure have significantly streamlined the development of complex data processing and recommendation algorithms. This makes building the sophisticated AI-driven system described, particularly for ranking future charge events, potentially more efficient and powerful now.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, machine learning, secure communication

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