虚拟现实中基于mems的测量:建立一辆电动汽车

Jacopo Andrea Di Antonio, M. Longo, D. Zaninelli, F. Ferrise, Andrea Labombarda
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引用次数: 0

摘要

目前的工作旨在寻找电池电动汽车的注册消耗之间的对应关系,使用专用算法,并在重建道路驾驶条件的场景中安装MEMS传感器平台。描述了虚拟现实(VR)装置的组成以及MEMS设备的放置,以配置驾驶测试的最佳条件。具体来说,就是SensorTile的使用。介绍了意法半导体(STMicroelectronics)的测量采集链的功能和过程。此外,通过Unity3D和Matlab软件实现了消耗模型,以获得执行仿真路径所需的功率,荷电状态(SoC)和能量的估计。然后,考虑到现有的文献,它提出了考虑如何从传感器获得的测量可以用于驾驶员行为的主要表征。最后,这些单个用户的结果与能源需求有关,以确定这些参数是否以及在哪个水平上也是对消费者影响的指标。
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MEMS-based Measurements in Virtual Reality: Setup an Electric Vehicle
The present work is aimed at finding a correspondence between registered consumes for a Battery Electric Vehicle, using a dedicated algorithm, and data available installing a MEMS sensors platform in a scenario which recreates on-road driving conditions. The Virtual Reality (VR) setup is described in its composition together with the placement of MEMS equipment to configurate optimal conditions for driving tests. In specific, the use of SensorTile.box by STMicroelectronics was described in its functioning and for the measurement acquisition chain process. Also, the consumption model is implemented through Unity3D and Matlab software to obtain an estimation of power, State of Charge (SoC) and energy required to perform the simulation path. Afterwards, considering the available literature, it is posed in consideration how the obtained measures from sensors can be useful for a primary characterization of drivers' behavior. Finally, these results for single users are related to the energy requests to determine if and at which level these parameters are also indicators of impact on consumers.
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