Comprehensive Evaluation of the Large-Scale Charging Pile Based on the Cloud Platform

At present, the existing charging pile detection and evaluation index system only considers the technical indicators, economic indicators, environmental indicators and safety indicators, but ignores the impact of special environmental factors and historical operation data on equipment performance testing, and fails to comprehensively evaluate the performance of charging piles. This paper proposes a charging pile historical maintenance data based on cloud storage, as well as charging pile brand, model, environmental temperature and humidity indexes. The membership degree of each index is solved by the gray cloud model, and then the evaluation score after testing is revised based on the weight value of the AHP analytic hierarchy process of each index. It can improve the accuracy and reliability of the testing of charging piles, and then it can be applied to the testing and evaluation of large-scale charging piles.