基于统计预测的电动汽车充电管理

首先通过调查得出100组电动汽车行为特征相关参量数据，随后利用总结归纳的思想进行分析与处理，即可分别绘得电动汽车各个行为特征量的分布规律图像。利用SPSS数学软件，读出100辆电动汽车在一周内每一天的平均充电功率。利用标准误差的概念得出总体的均值，可将本文所得结论推广开来。

Electric Vehicle Charging Management Based on Statistical Prediction

This paper firstly obtains 100 sets of parameters related to the behavioral characteristics of electric vehicles through investigation, and then analyzes and processes them with the idea of summarization. Then, it draws the distribution pattern of each behavioral characteristic quantity of electric vehicles. Using SPSS mathematical software, the average charging power of 100 electric vehicles is read every day in a week. Using the concept of standard error to obtain the mean value of the population, we can generalize the conclusions in this paper.