인공지능을 기반으로 한 에너지저장장치 고장진단 연구

다국어 초록 (Multilingual Abstract)

ESS (Energy Storage System) is a power storage device to increase power utilization efficiency by storing generated electricity and supplying power when needed. As the number of ESS explosion accidents has been rapidly increasing over the past two to three years, a failure diagnosis study on ESS fire safety should be preceded for continuous use. When the ESS is operated at high temperature for a long time, aging is caused due to deterioration, so stable operation is required. Of the 28 recent fires, 15 occurred while charging and resting. Since rapid temperature and humidity changes occur during charging and discharging, it is important to predict the trend of change. This study predicts ESS operation patterns through an artificial intelligence-based prediction algorithm, and furthermore diagnoses ESS failures through a supervised learning-based confusion matrix. When a failure pattern is found in the ESS room, a method to reduce damage through air conditioner control was studied.