Abstract:

With the development of new energy industry and energy storage power system, the market demand for energy storage system is rapidly increasing. However, the enlargement of energy storage cells and the increasingly complex working environment of energy storage system lead to a sharp increase in the failure rate of energy storage system. The application of artificial intelligence to the fault detection of energy storage system can effectively improve the fault detection efficiency of energy storage system, reduce the manual intervention, and minimize the loss caused by the failure of energy storage system. In practice, through raw data input, feature extraction, model building and fault detection, the fault detection mechanism of the energy storage system based on artificial intelligence can find the rule of the energy storage system failure from the massive data, provide early warning for the energy storage system failure, accurately identify the fault location and type, and predict the development trend of the fault, so as to greatly improve the efficiency of the energy storage system, and promote the intelligentization of the energy storage system.

Key words: artificial intelligence, energy storage system, fault detection