Analysis of Energy Consumption in an Electric Vehicle through Virtual Reality Set-Up

Marika Lamanuzzi, Jacopo Andrea Di Antonio, F. Foiadelli, M. Longo, Andrea Labombarda, Nicolò Dozio, F. Ferrise
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Abstract

The aim of this work is to present an algorithm used to perform an energetic analysis for an electric vehicle in a Virtual Reality (VR) scenario. This was useful to recognize some patterns of driving behavior considering users and their psychological aspects. The primary aspect enlightened is the description of the experimental setup used to perform tests with 26 users. Through Unity and Matlab software, it was possible to exploit a VR scenario aimed at recreating in the same route both urban and highway paths in condition of real traffic, performed with a Battery Electric Vehicle (BEV). The acquisition part is illustrated in its methodology in two different cases covering disturbance and non-disturbance scenario. Moreover, the population was divided considering gender to establish a characterization which linked energy consumption and associated analysis to psychological traits of the driver.
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基于虚拟现实装置的电动汽车能耗分析
这项工作的目的是提出一种算法,用于在虚拟现实(VR)场景中对电动汽车进行能量分析。这有助于识别考虑到用户及其心理方面的驾驶行为模式。最主要的方面是对26个用户进行测试的实验设置的描述。通过Unity和Matlab软件,可以利用VR场景,在真实交通条件下,在相同的路线上重建城市和高速公路道路,并使用纯电动汽车(BEV)执行。采集部分在两种不同的情况下说明了它的方法,包括干扰和非干扰场景。此外,根据性别对人口进行了划分,以建立将能量消耗和相关分析与驾驶员的心理特征联系起来的特征。
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