Rivian Automotive Inc had five patents in artificial intelligence during Q4 2023. Rivian Automotive filed patents in Q4 2023 for controlling battery state of charge using machine learning and updating machine learning models on vehicles. The system in the electric vehicle identifies data such as battery state of charge, health, and drive mode to establish a charging schedule based on machine learning. The data processing system on the vehicle can predict and measure vehicle characteristics, identify differences, and update the model remotely based on the state of the vehicle. GlobalData’s report on Rivian Automotive gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Rivian Automotive grant share with artificial intelligence as a theme is 20% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Battery state of charge control using machine learning (Patent ID: US20230347776A1)
The patent filed by Rivian Automotive Inc. describes a system for controlling the state of charge of an electric vehicle's battery using machine learning. The system collects data on the battery's state of charge, health, and the vehicle's drive mode to create a charging schedule that varies the amount of current supplied to the battery over time. This schedule is executed by the system to manage the charging process efficiently. Additionally, the system can interact with a remote server to update regional models based on collected data and weights generated by the model, allowing for the creation of customized charge schedules for different electric vehicles.
Furthermore, the system includes features such as presenting the charge schedule through a graphical user interface, receiving input from the driver to prioritize specific aspects of the battery or energy consumption, and the ability to override the charge schedule if needed. The method outlined in the patent involves identifying battery data, generating a charge schedule based on machine learning, and facilitating the charging process according to the schedule. It also includes steps for updating the model based on changes in battery status or drive mode, as well as interacting with a remote server to enhance regional models and create different charge schedules. Overall, the patent highlights an innovative approach to optimizing battery charging in electric vehicles through intelligent data processing and machine learning techniques.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
