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作 者:魏冉 刘海江[1] 王义博 吴晨雨 李涛旭 WEI Ran;LIU Haijiang;WANG Yibo;WU Chenyu;LI Taoxu(College of Mechanical Engineering,Tongji University,Shanghai 201804,China)
机构地区:[1]同济大学机械与能源工程学院,上海201804
出 处:《农业装备与车辆工程》2024年第11期67-74,共8页Agricultural Equipment & Vehicle Engineering
摘 要:针对CLTC无法真实反应国内某城市新能源汽车运行工况特征的问题,基于该城市实际道路车联网出行数据构建行驶工况曲线,并探究温度对用户出行数据的影响。首先,分析该城市用户实际单次出行时长,以电机冷却时间为标准划分单次出行间隔,统计了用户单次出行及其频次频率分布,其次,探究了用于构建行驶工况的样本量大小,通过聚类结果对比和特征值对比验证了适合用于构建该城市行驶工况的样本量,然后,分析了温度对用户实际出行驾驶行为的影响,构建了不同温度区间下的工况曲线,采用Z-Score标准方法对比曲线特征差异并利用AVL-Cruise软件仿真不同温度下工况曲线的能耗,对比不同温度区间下工况曲线的差异。最终,构建该城市新能源汽车行驶工况曲线,探究了温度对用户出行行为的影响,以期为新能源汽车行驶工况构建及能耗分析提供参考。Aiming at the problem that CLTC cannot truly reflect the operating condition characteristics of new energy vehicles in a domestic city,the driving condition curve was constructed based on the actual road travel data of the city,and the influence of temperature on user travel data was explored.The user′s single trip duration was calculated,and the single trip interval was divided according to the motor cooling time as the standard,and the actual single trip duration of the city user was calculated according to the single trip duration and its frequency frequency distribution.The working condition curves of different sample sizes and different temperature intervals were constructed,the results were compared and the differences in working condition curves were compared by Z-Score standardized method,and the whole vehicle model of new energy vehicles was built by AVL-Cruise software to compare the energy consumption of working condition curves under different temperature intervals.The driving condition curve of new energy vehicles was constructed,and the influence of temperature on user travel data was explored.
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