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电动汽车能耗预测的研究
作者姓名:高洪伟  康子怡  吕贵林  王文彬  何云廷
作者单位:中国第一汽车股份有限公司智能网联开发院;汽车振动噪声与安全控制综合技术国家重点实验室
摘    要:随着电动汽车的数量日趋增多,人们对于电动汽车能耗的关注度也逐渐增加。电动汽车受到电池性能和容量的约束,同时受到充电桩的位置、数量和充电时间的限制,容易使得驾驶员产生"里程焦虑"。因此续驶里程成为驾驶员关注的重要指标之一。准确的能耗预测能够给予驾驶员出行指导,减缓"里程焦虑"。围绕电动汽车能量消耗的影响因素进行了归纳总结,介绍了近年来能耗预测技术的研究现状和不足,并提出未来研究方向的发展趋势。

关 键 词:电动汽车  能耗  数据驱动  续驶里程  里程焦虑

Research on Electric Vehicle Energy Consumption Forecast
Authors:Gao Hongwei  Kang Ziyi  Lv Guilin  Wang Wenbin  He Yunting
Institution:(Intelligent and Connected Vehicle Development Institute,China FAW Corporation Limited,Changchun 130013;State Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise&Safety Control,Changchun 130013)
Abstract:With the increasing number of electric vehicles,people’s attention to the energy consumption of electric vehicles has gradually increased.Electric vehicles are constrained by battery performance and capacity,and are also restricted by the location at the same time,number and charging time of charging piles,which can easily cause drivers to have"range anxiety".Therefore,the remaining mileage has become one of the important indicators that drivers pay attention to.Accurate energy consumption prediction can give drivers travel guidance and relieve"range anxiety".This article summarizes the influencing factors of energy consumption in the field of electric vehicles,and introduces the research progress and algorithms of energy consumption prediction technologies in recent years and puts forward the development trend of future research directions.
Keywords:Electric vehicle  Energy consumption  Data driven  Driving range  Range anxiety
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