Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

Version 1 : Received: 7 July 2021 / Approved: 9 July 2021 / Online: 9 July 2021 (10:20:07 CEST)

How to cite: Khan, Z.A.; Sherazi, H.H.R.; Ali, M.; Imran, M.A.; Rehman, I.U.; Chakrabarti, P. Designing Wind Energy Harvester for Connected Vehicles in Green Cities. Preprints 2021, 2021070214 (doi: 10.20944/preprints202107.0214.v1). Khan, Z.A.; Sherazi, H.H.R.; Ali, M.; Imran, M.A.; Rehman, I.U.; Chakrabarti, P. Designing Wind Energy Harvester for Connected Vehicles in Green Cities. Preprints 2021, 2021070214 (doi: 10.20944/preprints202107.0214.v1).

Abstract

The recent advancements in the field of communication have led data sharing to become an integral part of today's smart cities with the evolution of concepts such as the internet of vehicles (IoV) paradigm. As a part of IoV, Electric Vehicles (EVs) have recently gained momentum as authorities have started expanding their Low Emission Zones (LEZ) in an effort to build green cities with low carbon footprints. Energy is one of the key requirements of EVs not only to support the smooth and sustainable operation of EV itself but to also ensure connectivity between the vehicles and infrastructure with controlling devices like sensors and actuators installed within an EV. In this context, renewable energy sources (such as wind energy) dramatically play their parts in the automobile sector towards designing the energy harvesting electric vehicles (EH-EV) to pare the energy reliance on the national grid. In this article, a novel approach is presented to achieve electric generation due to vehicle mobility to support the communication primitives in electric vehicles which enables plenty of IoV use cases in the presence of surplus energy at hand. A small-scale wind turbine is designed to harness wind power for converting it into mechanical power. This power is then fed to the onboard DC generator to produce electrical energy. Furthermore, the acquired power is processed through a regulation circuitry to consequently achieve the desired power supply for the end load, i.e. the batteries installed. The suitable orientation for efficient power generation is proposed on ANSYS-based aerodynamics analysis. The voltages induced by DC generator at No-Load condition are 35V while at Full-Load 25V are generated at rated current of 6.9A, along with the generation of power at around 100W (at constant voltage) at the rated speed of 90 mph for nominal battery charging. Moreover, the acquired data can be monitored via an android application interface by using a Bluetooth module.

Subject Areas

Energy Harvesting; power management, Connected Vehicles; wind energy harvester; Smart Cities; electric Vehicle; IoT; Tesla; autonomous sensors

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