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文章摘要
基于气温影响的电动汽车充电需求预测
Electric Vehicle Charging Demand Forecasting Based on Influence of Weather and Temperature
Received:January 06, 2017  Revised:January 10, 2017
DOI：
中文关键词: 电动汽车  蒙特卡洛  充电需求  能耗因子  最大载电量
英文关键词: electric vehicles, monte carlo, charging demand, energy consumption factor  maximum load capacity
基金项目:国家自然科学基金项目（（51407114） 重点项目）;上海市科委项目16020500900
Author NameAffiliationE-mail
WANG Hailing* Shanghai University of Electric Power 727928319@qq.com 
ZHANG Meixia Shanghai University of Electric Power zmx19790612@sina.com 
YANG Xiu Shanghai University of Electric Power yangxiu721102@126.com 
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中文摘要:
      电动汽车充电需求预测是电网建设规划和调度运行的基础,而气温通过改变电动汽车的出行路况、空调能耗和电池特性来影响负荷预测的准确性。本文利用蒙特卡洛法模拟电动汽车的出行特性,提出了一种考虑气温因素的电动汽车充电负荷计算方法,使电动汽车充电需求预测更加精确。一方面,分析天气对出行路况的影响,制定合理的安全行驶速度,引入能耗因子模型计算单位里程耗电量,得到不同时速情况下电动汽车总耗电量的差别。另一方面,分析温度对电池特性和空调能耗的影响,计算电池实际最大载电量和空调耗电量。以2020年上海市电动汽车为例仿真计算,表明在天气和温度影响下,电动汽车充电负荷会发生明显的变化。
英文摘要:
      
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