Vestas Wind Systems had one patents in ecommerce during Q4 2023. Vestas Wind Systems AS filed a patent for dynamic pricing of energy consumed from a shared battery based on real-time consumption data. The method involves calculating wear cost of the battery, determining proportionality factors for multiple users, apportioning wear cost based on usage, and setting dynamic prices for energy used by each user. GlobalData’s report on Vestas Wind Systems gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Vestas Wind Systems grant share with ecommerce as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Dynamic pricing of energy consumed from a shared battery using real-time consumption data (Patent ID: US20230410229A1)
The patent filed by Vestas Wind Systems AS pertains to methods, systems, and computer program products for implementing dynamic pricing of energy consumed from a shared battery using real-time consumption data. The method involves calculating wear costs associated with a shared battery used by multiple users based on usage data, determining a proportionality factor for each user based on individual battery usage, apportioning the wear costs to each user according to their proportionality factor, and establishing a dynamic price for energy used by the battery for each user based on this apportioning. These steps are executed by at least one computing device.
This innovative approach allows for fair and efficient pricing of energy consumed from a shared battery, taking into account individual usage patterns and wear costs. By dynamically adjusting prices based on actual usage data and wear costs, this method enables more accurate and personalized billing for users sharing a common energy storage system. The use of real-time consumption data ensures that pricing reflects the actual impact of each user on the shared battery, promoting transparency and equitable distribution of costs among multiple users.
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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.
