Rivian Automotive had six patents in digitalization during Q1 2024. Rivian Automotive Inc’s patents filed in Q1 2024 focus on predicting fleet utilization for delivery demand and tracking energy consumption at charging stations for electric vehicles. The first patent involves analyzing vehicle data to determine fleet health status and optimize delivery load transfers within the fleet. The second patent involves tracking energy consumption during charging sessions to calculate reimbursement amounts for electrical expenses, providing a cost-effective solution for EV owners. GlobalData’s report on Rivian Automotive gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Rivian Automotive grant share with digitalization as a theme is 33% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Predicting fleet utilization and capacity for delivery demands (Patent ID: US20240086948A1)
The patent filed by Rivian Automotive Inc. describes a method for predicting fleet utilization and capacity to meet delivery demands. This involves receiving vehicle data related to delivery information, determining the health status of the vehicles based on this data, generating predictions for fleet utilization, and transmitting information to transfer delivery loads between vehicles to fulfill demands. The system takes into account historical data, components' health status like tires and batteries, and geographical areas for predictions.
Additionally, the patent includes claims for a fleet management system and a non-transitory computer-readable medium with instructions for receiving vehicle data, determining health status, generating predictions for fleet utilization, and transferring delivery loads between vehicles. The system considers historical data, components like tires and batteries, and factors like maintenance downtime, real-time delivery demands, and health status of other vehicles in the fleet for accurate predictions and efficient management of delivery operations.
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