GS Yuasa’s patent involves an estimation device that analyzes time-series data of a power storage element’s state of charge (SOC) to estimate shape changes. The device determines SOC fluctuation range and representative value to predict power storage element behavior accurately. GlobalData’s report on GS Yuasa gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on GS Yuasa, Hydrogen storage alloys was a key innovation area identified from patents. GS Yuasa's grant share as of May 2024 was 38%. Grant share is based on the ratio of number of grants to total number of patents.
Estimation device for shape change of energy storage device
A recently granted patent (Publication Number: US12000904B2) discloses an estimation device designed to monitor and predict the shape change and deterioration of an energy storage device based on the state of charge (SOC) data. The device comprises an acquisition unit, determination unit, and estimation unit. The acquisition unit collects time-series data of the SOC, while the determination unit calculates the fluctuation range and SOC representative value. The estimation unit then estimates the shape change of the energy storage device using this data.
Furthermore, the patent includes an estimation method and a computer program product for estimating the SOC data and shape change of the energy storage device. The method involves acquiring SOC data, determining the fluctuation range and representative value, and estimating the shape change based on these parameters. The computer program product is configured to perform these functions using computer-readable program code portions. Additionally, the patent covers an estimation device with multiple acquisition units, a determination unit, and an estimation unit to predict deterioration based on SOC data, fluctuation amount, and shape change, with the option to consider temperature data for a more comprehensive analysis.
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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.
