Rivian Automotive had five patents in artificial intelligence during Q2 2024. Rivian Automotive Inc filed patents in Q2 2024 for a model to manufacture electric vehicles efficiently by using data processing systems to identify constraints and generate assembly sequences. They also patented a method for battery charging based on the state of health of the battery, as well as a method to correlate driving behavior to wear on a vehicle by analyzing driving patterns and wear mechanisms. GlobalData’s report on Rivian Automotive gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Rivian Automotive had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Model for a manufacturing process (Patent ID: US20240192657A1)
Rivian Automotive Inc. has developed a data processing system for manufacturing products, particularly electric vehicles, by receiving data on physical characteristics of parts and generating assembly sequences based on ergonomic and physical constraints. The system can determine the order of assembly, select manufacturing stations, calculate cycle times, and provide installation instructions, enhancing the efficiency and accuracy of the manufacturing process.
Additionally, the system can generate sequences for station selection based on part placement within the product, consider ergonomic data for station selection, and provide assembly information to client devices or virtual assistants. This method, implemented through computer-readable media, streamlines the manufacturing process by optimizing part assembly based on various constraints, ultimately improving the overall production efficiency and quality of electric vehicles.
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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.
