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Charging Power Forecasting for Electric Vehicle Based on Statistical Model

机译:基于统计模型的电动汽车充电功率预测

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Considering three aspects of ensuring energy safety,reducing greenhouse gas emission and competing for technical leading edge of new energy vehicles in the world,the large-scale promotion and application of electric vehicles is an irresistible trend in our country.With Beijing as a research object,a statistical method is used for forecasting charging power of regional electric vehicles in the paper.Based on existing traffic statistical data,and fully considering the randomness of electric vehicle's charging in time and space,the random distribution model for initial load state and initial charging time is established,to finally work out the regional daily charging load curves for electric vehicles.
机译:从确保能源安全,减少温室气体排放和争夺世界新能源汽车技术领先的三个方面来看,电动汽车的大规模推广和应用是我国不可阻挡的趋势。以北京为研究对象在现有交通统计数据的基础上,充分考虑了电动汽车充电时空的随机性,建立了初始负荷状态和初始充电的随机分布模型,采用统计方法对区域电动汽车的充电功率进行了预测。确定时间,以最终得出电动汽车的区域日充电负荷曲线。

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