Energy Harvesting from Vehicle-Induced Wind for Enhanced Communication Efficiency in Autonomous Electric Vehicles
Corresponding author: Yvette Shaan-Li Susiapan
Abstract
The increasing demand for sustainable transportation solutions presents a challenge in minimizing Electric Vehicles’ (EVs) reliance on external power sources while ensuring effective communication and control. This study addresses the issue by integrating wind energy harvesting and optimizing internal communication systems to support autonomous EV operation. The proposed framework utilizes vehicle-mobility-induced wind energy, supplemented by solar Photovoltaic (PV) cells, to power essential vehicle functions, thus reducing dependence on traditional charging methods and infrastructure. Wind turbine sensors attached to a 3D-printed dynamo assembly convert ambient kinetic energy into electrical energy, which is subsequently stored in a battery pack. This power is intelligently managed and distributed through a system coordinated by an ESP32 controller and Arduino UNO, enabling seamless communication across subsystems. Autonomous control is executed via a joystick interface that transmits steering, acceleration, and braking commands to actuators, with real-time adjustments enabled by motor drivers. Automated transceivers facilitate continuous data exchange among energy-harvesting units, controllers, and actuators, ensuring synchronization and effective power management. The integration of Free Real-Time Operating System (FreeRTOS) enables real-time scheduling and dynamic energy management, supporting responsive operation under changing environmental conditions. By integrating IoT communication with renewable energy sources, this approach provides an energy-efficient, adaptable solution for autonomous EVs, supporting the goal of self-sustaining, eco-friendly transportation systems.
Keywords:
wind energy harvesting, electric vehicles, autonomous control, IoT-based communication, renewable energy integrationDownloads
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Copyright (c) 2025 Mukil Alagirisamy, Yvette Shaan-Li Susiapan, R. Priyadarshini, T. V. Padmavathy, Vinesh Thiruchelvam, Venu Durumutla, Emmanuel Kwame Mensah, Eyram Kwame
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