首页> 外文会议>International Electric Vehicle Symposium Exhibition;International Electric Vehicle Technology Conference >Driving style comparison of plug-in hybrids and fossil fueled vehicles based on data collection of fast sampled signals: Presented at EVS 31 EVTeC 2018, Kobe, Japan, October 1 - 3, 2018
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Driving style comparison of plug-in hybrids and fossil fueled vehicles based on data collection of fast sampled signals: Presented at EVS 31 EVTeC 2018, Kobe, Japan, October 1 - 3, 2018

机译:基于数据收集的快速采样信号的插件混合动力车和化石燃料车辆的驾驶风格比较:在2018年10月1日至2018年10月1日至2018年10月1日至2018年10月1日至2018年10月1日至3日

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Based on Volvo Car data, driving patterns and behaviors are analyzed to identify disparities in customer experiences that could be beneficial with electrified vehicles. The main conclusions are: 1) Fast sampled signals generate a huge amount of data and methods to handle and analyze all the data is in its infancy. 2) The data set is large but is in some cases not enough to conclude a certain driving behavior with certainty, either since some signals are missing or that the amount of data is too small to provide far-reaching conclusions of the driving behavior in e.g. selected crossings or roundabouts. 3) There is no clear evidence that electric vehicles are driven in a different way.
机译:基于沃尔沃汽车数据,分析驾驶模式和行为,以识别客户体验中可能是有益的电气化车辆的差异。 主要结论是:1)快速采样信号生成大量数据和方法来处理和分析所有数据的初期。 2)数据集很大,但在某些情况下是不足以肯定地结束某种驾驶行为,因为某些信号丢失或者数据量太小,无法在例如,在例如,在驾驶行为中提供深远的结论。 选定的过境点或环形交叉路口。 3)没有明确的证据表明电动车辆以不同的方式驱动。

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