Research on Remote Verification Methods for Charging Piles by Virtual Standard Device

Compared to traditional fuel vehicles, new energy vehicles offer advantages such as no exhaust emissions and lower carbon footprint. In recent years, the number of electric vehicles has grown exponentially, and the number of charging infrastructure has also increased rapidly. Electric vehicle charging piles belong to trade settlement measurement instruments, and regulations in metrology require regular verification of such instruments. Traditional charging pile metering work is based on on-site verification with physical standard instruments, which are limited by physical space and cannot meet the growing demand for verification efficiency. This paper analyzes and discusses the issue based on Bayesian theory, designing a system for verifying electric vehicle charging stations that improves efficiency. The algorithm explores remote measurement error assessment and uncertainty evaluation methods, using the tree-like structure of the charging process to estimate measurement errors, achieving an accuracy rate of over 85% for identifying out-of-tolerance charging stations, demonstrating the algorithm's effectiveness.