Research on the application of big data technology in large-scale energy storage battery management systems
Traditional power systems are constantly developing towards intelligence. The application of large-scale energy storage battery management systems can effectively and timely analyze the working conditions of energy storage units and batteries to improve work efficiency. Faced with the pressure of massive data analysis, more advanced technological upgrades are needed. This article analyzes the battery management system under big data technology. After clarifying the conventional framework of the current battery energy storage management system, big data technology is introduced, and a SOC data prediction method is proposed to construct a data set. Through the Hadoop data management architecture, high-speed data analysis and organization are achieved. It has been proven that big data technology can be effectively applied to energy storage battery management systems, improving their intelligence and achieving faster replacement and expansion of data modules.
万方数据
维普
