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投稿时间：2016-05-13
投稿时间：2016-05-13
中文摘要: 为了保证电动汽车充电负荷预测更加准确、合理，分析了环境温度导致电池特性、空调能耗和道路状况的变化对电动汽车充电需求的影响.考虑环境温度因素，引入能耗因子计算单位里程耗电量，利用蒙特卡洛法计算了单辆车的充电负荷需求，再累加到总的充电负荷曲线上.以2020年上海市电动汽车为例仿真计算，验证了在不同温度影响下，电动汽车充电负荷会发生明显的变化.
Abstract:In order to ensure electric vehicle(EV) charging load forecasting more accurate and reasonable, the influence of changes in the battery characteristics, air conditioning energy consumption and the influence of road conditions caused by environmental temperature on EVs charging needs are analyzed.Considering environmental temperature, the energy consumption factor model is introduced to calculate the power consumption of EV per kilometer and the Monte Carlo method is used to calculate the single EV charging load demand added to the total charging load curve.Shanghai EVs in 2020 is taken as an example, and simulation results show that under the influence of the temperature, EVs charging load changes obviously.
文章编号：20172007 中图分类号： 文献标志码：
基金项目:
| 作者 | 单位 | |
| 王海玲 | 上海电力学院 电气工程学院 | 727928319@qq.com |
| 张美霞 | 上海电力学院 电气工程学院 | |
| 杨秀 | 上海电力学院 电气工程学院 |
引用文本：
王海玲,张美霞,杨秀.考虑环境温度的电动汽车充电负荷预测[J].上海电力大学学报,2017,33(2):138-144.
WANG Hailing,ZHANG Meixia,YANG Xiu.Electric Vehicle Charging Load Forecasting Considering Environmental Temperature[J].Journal of Shanghai University of Electric Power,2017,33(2):138-144.
王海玲,张美霞,杨秀.考虑环境温度的电动汽车充电负荷预测[J].上海电力大学学报,2017,33(2):138-144.
WANG Hailing,ZHANG Meixia,YANG Xiu.Electric Vehicle Charging Load Forecasting Considering Environmental Temperature[J].Journal of Shanghai University of Electric Power,2017,33(2):138-144.