SK Innovation had four patents in artificial intelligence during Q4 2023. SK Innovation Co Ltd filed a patent for a method to detect abnormal faults in battery cells by measuring cell data, generating two-dimensional input data, inputting it into a pre-trained model, and determining the presence of abnormal cells. Another patent involves a method and apparatus for estimating S-wave velocities by learning well logs, forming an estimation model and inputting unseen data to estimate S-wave velocities corresponding to measured depth. GlobalData’s report on SK Innovation gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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SK Innovation grant share with artificial intelligence as a theme is 25% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method for detecting abnormal condition or fault of battery, and a battery management system operating the same (Patent ID: US20230384392A1)
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The patent filed by SK Innovation Co Ltd. describes a method for detecting abnormal faults in a battery pack by measuring cell data from battery cells over time, generating two-dimensional input data, inputting this data into a pre-trained abnormal fault detection model, and determining the presence of an abnormal cell based on the model's output. The method involves analyzing cell voltage, current, and temperature deviations to identify abnormalities, using a two-dimensional plane to map the data, and employing multiple abnormal fault detection models to pinpoint the abnormal cell accurately. The system can be integrated into electric vehicles or energy storage devices to ensure the safety and efficiency of the battery pack.
Furthermore, the patent also covers a battery management system that includes an input data generator, a detection model, and an abnormal fault determiner to identify and analyze deviations in cell data to detect abnormal conditions in battery cells. The system utilizes a two-dimensional input data format, with the detection model comprising multiple models to identify abnormal cells and sensor errors accurately. Additionally, the patent outlines a method for managing batteries in a system connected to a server through a communication network, where the server stores abnormal fault detection models and transmits information on abnormal cells to user terminals or the battery management system. This method allows for efficient monitoring and maintenance of batteries in electric vehicles, with the server categorizing vehicles based on various factors to provide tailored maintenance notifications and services.
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