Electric vehicle short-term charging load prediction model considering temperature influence

• Main Authors: WANG WEI, SI SHUANG, WU RAN, CHEN JIANJIAN, WANG NING, LU ZHOUBING, GAO SUZHOU, QIAN XIN, XU CHENG
• Format: Patent
• Language: Chinese; English
• Published: 28.04.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to an electric vehicle short-term charging load prediction model considering temperature influence. The electric vehicle short-term charging load prediction model comprises the following steps: step 1, establishing an electric vehicle driving power consumption model; step 2, fitting distribution of the air conditioner starting duration time under different temperature intervals and different types of electric vehicle users in a single travel, and calculating the loss rate of the endurance mileage of the electric vehicle; 3, calculating a whole vehicle power consumption model by combining the vehicle accessory power consumption model; and 4, establishing a short-term charging load prediction model of the electric vehicle based on a Monte Carlo sampling method and a probability charging method. According to the method, the maximum likelihood estimation method is utilized to perform fitting distribution on the processed data, and the whole-vehicle power consumption model of the electric veh