With the high-quality and large-scale development of new energy storage technologies in recent years, energy storage power stations, as important carriers in the new energy sector, aim to facilitate the gradual transition into the era of smart grids and meet the innovative upgrade requirements for the energy structure and distribution of power systems. This poses new challenges for the design and implementation of battery management systems of corresponding scale. Meanwhile, the concept of edge-cloud collaborative design for electronic systems has become very mature. Facing the demand for highly safe, stable, and long-term operation of energy storage power stations, the functional architecture division between edge and cloud needs further refinement, and achieving high-performance computing at the edge has become an innovative embedded solution for the design of Battery Management Systems (BMS) in energy storage power stations.

This paper focuses on the Battery Cluster Management Unit (BCMU) within energy storage power station BMS and elaborates on the R&D work involved in designing and implementing the BCMU system. It highlights the interactive adaptation relationship between hardware, software, and algorithms in edge computing systems and demonstrates the system's practical performance advantages through a combination of theoretical research and physical testing.

(1) By summarizing the current research and development status of battery management systems, analyzing the overall requirements of energy storage power stations and the main functions of BMS, this paper proposes a structural scheme for energy storage power station management systems. It focuses on