Research on Energy Consumption Simulation Evaluation of Pure Electric Vehicles Under Complex Operating Conditions Based on Entropy Weight Grey Correlation Analysis

Under the background of the state vigorously encouraging the development of new energy vehicles, the market ownership and penetration rate of new energy vehicles have risen rapidly, and the energy consumption evaluation of battery electric vehicles has been widely valued by consumers and experts in the industry. This paper comprehensively considers the complexity of Chinese consumers' actual usage scenarios, uses digital tools based on Markoff chain method to build 120 typical digital working conditions covering 4 cities under different temperatures and weather conditions, uses VPAT simulation software to build digital vehicle models, and conducts reverse calibration and verification based on the measured data of the whole scene. The energy consumption data of vehicles in different complex scenarios are obtained. Based on a large number of simulation results of energy consumption, the comprehensive evaluation results of energy consumption of a certain vehicle are output by means of entropy weight method and grey relational analysis method.