Rivian Automotive had three patents in big data during Q2 2024. Rivian Automotive Inc has developed systems and methods for efficient vehicle charging, utilizing a data processing system to determine optimal charging times at different dispensers based on vehicle characteristics. The system assigns vehicles to specific dispensers for charging and communicates this assignment to the vehicle for seamless charging operations. GlobalData’s report on Rivian Automotive gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Rivian Automotive had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Vehicle charging system (Patent ID: US20240109454A1)
The patent filed by Rivian Automotive Inc. discloses systems and methods for vehicle charging that involve a data processing system with processors and memory to receive data indicating a vehicle's characteristic, determine the time needed to charge the vehicle at different dispensers, assign the vehicle to a dispenser based on charging times, and transmit the assignment to the vehicle. The system also includes power cabinets to share power between dispensers, consider multiple vehicles' characteristics for efficient charging, and manage power distribution based on vehicle arrival times and dispenser availability.
Additionally, the patent describes the use of vehicle characteristics such as battery state of charge and charging curve to calculate charging times, establish network connections with vehicles to collect data, and optimize charging based on factors like battery health, time of day, temperature, navigation route, and traffic levels. The method outlined in the patent involves receiving vehicle characteristics, determining charging times at different dispensers, assigning vehicles based on optimal charging times, and transmitting assignments. The patent also covers memory devices storing instructions for receiving vehicle characteristics, calculating charging times based on battery state and curve, and transmitting assignments to optimize the charging process.
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