Abstract: As the core standby power source of the power supply system, the capacity status of DC batteries directly determines the reliability of power supply. Online capacity verification is a key technology to ensure the performance of batteries. Addressing the issues of poor adaptability, insufficient safety, and low accuracy in traditional capacity verification technology, this paper proposes a multi-scenario intelligent capacity verification system for DC batteries. Through fuzzy capacity prediction, load prediction-driven grouping planning optimization, and precise control technology for capacity verification errors, the dynamic adaptation of the capacity verification process to the operation of the power supply system is achieved. This paper elaborates on the bottlenecks of traditional capacity verification technology, deeply analyzes the core technical principles and implementation steps of the patent, and verifies the effectiveness of the system through multi-scenario adaptability analysis. The research results show that the system can improve the accuracy and efficiency of capacity verification while ensuring stable power supply, adapting to the operation and maintenance needs of DC batteries in multiple scenarios such as power grids and data centers.