Research on fault prediction and diagnosis methods of energy storage system based on big data and artificial intelligence
With the rapid development of energy storage grid technology and new energy electric vehicle technology,the global demand for energy storage systems is increasing.However,the complexity of the application environment and the large-scale battery composition increase the probability of failure of the energy storage system.This paper describes the research on big data technology and artificial intelligence technology in energy storage system fault prediction and diagnosis from two perspectives.Big data technology can analyze a large amount of energy data,thereby improving the production and utilization efficiency of energy storage systems and reducing energy waste and loss.Artificial intelligence technology can mine the valuable information hidden behind big data,train energy data,and predict and diagnose energy storage systems.The integration of big data technology and artificial intelligence technology can process and analyze a large amount of energy data,thereby improving the efficiency of energy storage systems,predicting and diagnosing whether energy storage systems have failed,and promoting the monitoring and management of energy storage systems.
energy storage systemfault prediction and diagnosisbig data technologyartificial intelligence
国家科技期刊平台
NSTL
万方数据
