This research introduces an internet of things (IoT)-enhanced Direct Field-Oriented Control (FOC) (DFOC) method for induction motors (IMs), which is a novel way to improve the efficiency, flexibility, and dependability of electric vehicle (EV) propulsion systems. By decomposing the stator current into elements that generate flux and torque, vector control supplies smooth control of motor torque and speed. The goal of this research is to improve the efficiency of electric propulsion by developing a novel DFOC algorithm that is adapted to the dynamic requirements of EVs. The study provides a real-time monitoring framework that records and processes crucial motor and vehicle performance data by utilizing IoT technology. In addition to facilitating remote diagnostics and predictive maintenance, this framework offers fault detection and diagnosis algorithms with the resources it needs to reduce the occurrence of unexpected failures. Both theoretical analysis and experimental verification of components show that the suggested method has the potential to greatly improve the effectiveness, efficiency, and environmental friendliness of EV motors. © 2024 Elsevier B.V., All rights reserved.