Nissan Motor had six patents in robotics during Q2 2024. The patent filed by Nissan Motor Co Ltd in Q2 2024 describes a vehicle body structure with a floor structure, rear side member, and reinforcing member. The rear side member is attached to the floor structure, and the reinforcing member is fixedly attached to the upper surface of the floor structure. These components are welded together via triple welds to enhance the overall strength and rigidity of the vehicle body. GlobalData’s report on Nissan Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Nissan Motor had no grants in robotics as a theme in Q2 2024.
Recent Patents
Application: Vehicle body structure (Patent ID: US20240109601A1)
The patent filed by Nissan Motor Co Ltd describes a vehicle body structure that includes a floor structure, a rear side member, and a reinforcing member. The floor structure defines various portions such as a door sill portion, a rear wheel well portion, and a rear seat support portion. The rear side member is attached to the lower surface of the floor structure, while the reinforcing member is fixedly attached to the upper surface of the floor structure, with portions of all three components welded together via triple welds.
The claims of the patent detail the specific features of the vehicle body structure, including the materials used, the thickness of the components, and the welding techniques employed. The rear side member is described as a structural beam with gusset portions, while the reinforcing member includes a main portion and alignment portions for welding to the floor structure. The claims also specify the dimensions and shapes of the components, as well as their engagement with robots during the welding process. Overall, the patent outlines a detailed and innovative design for a vehicle body structure that enhances strength and durability.
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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.
