Bayerische Motoren Werke had nine patents in robotics during Q1 2024. BMW AG has developed a method for separating or recovering materials from electrodes by stripping the coating from the substrate using snow blasting. GlobalData’s report on Bayerische Motoren Werke gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Bayerische Motoren Werke grant share with robotics 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: Method for separating or recovering materials from electrodes, method for producing an electrode, and electrode (Patent ID: US20240063452A1)
The patent filed by Bayerische Motoren Werke AG describes a method for separating or recovering materials from electrodes by utilizing snow blasting to strip a coating from a substrate. The process involves exposing the coating on the substrate to accelerated CO2 snow particles to remove the coating material, which can then be collected by suctioning. Additionally, the removed coating material can be purified and prepared for reuse in coating a carrier material for the production of an electrical energy storage cell.
Furthermore, the method includes steps such as compacting the coating, material separation to extract active material, conductive carbon black, solvent, binder, and additives from the removed coating material, and utilizing the purified material to generate recycled coating material. The patent also covers the production of electrodes for energy storage cells using the described method, allowing for the selective removal of coating material to shape or contour the coating. Overall, the innovative technique of using snow blasting for material separation in electrode production offers a sustainable and efficient approach to recycling and reusing materials in the manufacturing process.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
