Nissan Motor had 94 patents in batteries during Q1 2024. Nissan Motor Co Ltd filed patents in Q1 2024 related to methods for separating binders from cathode active material particles, positive electrodes with specific active material layers, lithium metal battery cells with thin film metal layers for dense lithium deposition, batteries with elastic supports, and a charging control method based on battery heat information. 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 grant share with batteries as a theme is 48% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Advanced direct recycling methods for lithium-ion batteries (Patent ID: US20240088465A1)
The patent filed by Nissan Motor Co Ltd describes a method for separating a binder from cathode active material particles by combining them with water and solvent in a vessel to form a single phase, allowing it to settle into two phases, and then separating the phases based on their contents. The first phase contains the solvent and binder, while the second phase contains water and cathode active material particles.
The method involves various additional steps and variations, such as using specific materials like polyvinylidene fluoride as the binder and LiNiMnCoO2 as the cathode active material particles. Different techniques like mixing, agitation, ultrasonic vibration, and thermal treatment can be used to combine the components. The solvent options include cyclohexane, cyclopentanone, and 3-heptanone. The process also includes the use of a stabilizer, catalyst, and surfactant in certain embodiments to aid in the separation process. Overall, the method provides a detailed and systematic approach to efficiently separate binders from cathode active material particles in battery production.
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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.
