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.

MEMS-based Measurements in Virtual Reality: Setup an Electric Vehicle

Di Antonio, Jacopo Andrea;Longo, Michela;Zaninelli, Dario;Ferrise, Francesco;
2021-01-01

Abstract

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.
2021
2021 56th International Universities Power Engineering Conference (UPEC)
978-1-6654-4389-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1187029
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