A Digital Twinning Approach for the Internet of Unmanned Electric Vehicles (IoUEVs) in the Metaverse

Regarding the importance of Internet Things (IoT) and Metaverse as two practical emerging technologies to enhance digitalization public transportation systems, this article introduces an approach for improvement IoT unmanned electric vehicles in Metaverse, called Unmanned Electric Vehicles (IoUEVs). This research includes important contributions. The first contribution is description a framework how can be used second creation digital twin vehicle. In section, which focus research, we present electronic differential system (EDS) stability has been improved. Robust fuzzy logic algorithm-based speed controllers are employed EDS independently control EV wheels driven by high-performance brushless DC (BLDC) motors. study, rotor position information motors, estimated from low-precision Hall-effect sensors mounted on motors’ shafts, combined converted set common switching signals empowering vehicle traction drive system. proposed relies accurate Hall sensor signals-based synchronizing/locking strategy with dynamic steering pattern capable running severe road conditions different surface profiles ensure EV’s stability. Unlike recent EDSs, twinning simple topology no need auxiliary infrastructures, able reduce mechanical losses stresses adapted IoUEVs more effectively.