The University of Nicosia Research Foundation has published a chapter entitled “Intelligently Reduce Transportation’s Energy Consumption” in the “Internet of Things” book series. Reducing vehicle energy demand has been the subject of academic research for several years. Distributing energy equally and efficiently among vehicle wheels addresses challenges that may have an impact on energy consumption.
Therefore, this chapter aims to contribute through the proposal of a novel system by integrating smart panels. The effects of a change of gradient or anomalies on the road motivate us to work on more torque at the wheel joints that demand more energy procurement. Though the supply affects all the wheels equally, which interprets for the engine as more consumption.
We approach the emerging issue by developing a V2SP (Vehicle to Smart-Panel) system in fluid dynamics. Based on fundamental mathematics equations of fluid flow from Navier–Stokes, we implemented an algorithm that could run in real-time on the grid integrated with panels that can interact accordingly with a vehicle’s operational system. The objective is the distribution of the appropriate energy among wheels based on their needs.
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Intelligently Reduce Transportation’s Energy Consumption