基于数据驱动的物流电动汽车充电行为分析

为研究城市配送中物流电动汽车用户的充电行为规律,本文采集70辆物流电动车2014年一年的充放电数据,并采用数据挖掘相关分析方法,建立考虑物流电动汽车的充电电量状态及充电时刻的充电行为模型.研究结果表明:用户一般在SOC为30%~50%时为车辆进行充电,车辆开始充电时的剩余电量服从μ=0.48、σ=0.22的正态分布;车辆开始充电时刻主要集中在14:00-16:00之间.通过数据实验证明本文所建立的充电行为模型具有较高的精确性,同时具有较好的实用性,为车辆的充电调度和用户的出行安排提供科学的决策支持.

Charging Behavior Analysis of Electric Logistic Vehicle Based on Data Driven

In order to explore the charging behavior roles of the electric logistic vehicle users in the city distribution, this paper adopts the analysis methods in data mining to research on the state of charge (SOC) and charging time based on the data of charge and discharge of 70 electric logistic vehicles operating during 2014. Moreover, a charging behavior model is established. The results show that: most drivers tend to charge the electric logistic vehicle when the SOC ranges from 30% to 50% ; the remaining electricity before charging follows the normal distribution with the parameters are μ =0.48, σ =0.22; the charging time are mainly ranges from 14:00 to 16:00. The experimental results show that this charging behavior model has a high accuracy and good practicability, and provide scientific making decision support about charging dispatch with the enterprises as well as the charging schedule with the users.