Mitsubishi Electric had 23 patents in batteries during Q4 2023. Mitsubishi Electric Corp filed a patent for a storage battery internal state estimation device that generates time-series data for estimation from current and voltage values acquired from the battery. The device estimates a model function of the battery based on the time-series data, which includes differential voltage curves of different orders. GlobalData’s report on Mitsubishi Electric gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Mitsubishi Electric grant share with batteries as a theme is 43% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Storage battery internal state estimation device and storage battery internal state estimation method (Patent ID: US20230333165A1)
The patent filed by Mitsubishi Electric Corp. describes a storage battery internal state estimation device that generates time-series data for estimation from current and voltage values acquired from the battery. The device estimates a model function of the battery based on the time-series data, which includes differential voltage curves, integral voltage curves, differential capacity curves, and integral capacity curves. The model function is represented by a sum of element functions, including high-frequency and low-frequency element functions, which are estimated from the respective curves.
Furthermore, the device repeats the operation of estimating the high-frequency and low-frequency element functions using different order curves, and estimates the model function based on the time-series data and the estimated element functions. The method involves estimating the high-frequency and low-frequency element functions using specific parameters such as position and scale, and utilizes sigmoid and peak functions for the estimation process. Additionally, the method involves simultaneously estimating approximate functions for elements that have not yet been estimated, enhancing the accuracy of the internal state estimation of the storage battery.
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