Samsung SDI had four patents in artificial intelligence during Q4 2023. Samsung SDI Co Ltd has developed a method using artificial neural networks to estimate the state of health of a battery by analyzing input data and attention scores, allowing for more accurate health state estimations. GlobalData’s report on Samsung SDI gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Samsung SDI grant share with artificial intelligence 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: Method and apparatus for estimating state of health of battery (Patent ID: US20230349977A1)
The patent filed by Samsung SDI Co Ltd. describes a method for estimating the state of health of a battery using a pre-trained artificial neural network. The method involves generating input data by measuring parameters like voltage and current of the battery, inputting this data into the neural network to obtain a health state estimation value and an attention map, calculating an attention score based on the map, and determining the reliability of the estimation based on this score. The neural network architecture includes layers for processing the input data and generating the estimation value and attention map.
Additionally, the patent outlines the process of preparing the neural network by estimating parameters from battery data, generating synthetic data, and training the network. The method also involves normalizing the input data, calculating reliability based on the attention score, and outputting the estimation value when the attention score exceeds a preset reference value. The patent also covers a computer program for executing the method and an apparatus comprising a memory storing the network and input data, and a processor to perform the estimation process based on the input data and attention map.
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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.
