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IoT Based Nano Device for Monitoring Induction Motor for Electric Vehicle Applications

Rajalingam Sakhivelsamy, Kanagamalliga Subramaniyan, Kamal Gopi, Jayanthi Ravi Gopala Krishnan and Sakthivel Karunamoorthy


With the growing emphasis on clean energy and connectivity, electric vehicles (EVs) are emerging as a vital player in the power sector, especially in the implementation of the smart grid, enabling the vehicles to communicate with the grid. Banning the sale of fossil-fuel vehicles is essential in reducing health risks from air pollutants like diesel PM10s and nitrogen oxides and achieving global greenhouse gas reduction targets stipulated by international agreements such as the Kyoto Protocol and Paris Agreement. The use of clean energy in modern vehicles allows their motors to function independently, making them distinct from fossil-fuel-powered vehicles. To comply with various bans, the automotive industry is endeavoring to create EVs, which some see as a possible revenue stream in a declining market. Governments find it appealing to prohibit fossil-fuel-powered vehicles since it’s an easier compliance target than implementing a carbon tax or phasing out fossil fuels. Utilizing simulation, we can acquire the induction motor’s real-time criteria, resulting in the motor’s enhanced operational efficiency and the industry’s development. The proposed controller device is miniature/nano as it is made of power electronic components. The dependable technology provided by the electric locomotive benefits both the power and locomotive industries. The green vehicle fosters the development of alternative domestic power sources and assists the grid by providing ancillary services. The future potential of EVs is enormous, necessitating independent monitoring of their motors to improve proficiency in IoT (Internet of Things) implementation.

Published on: December 22, 2023
doi: 10.17756/nwj.2023-s5-020
Citation: Sakthivelsamy R, Subramaniyan K, Gopi K, Gopala Krishnan JR, Karunamoorthy S. 2023. IoT Based Nano Device for Monitoring Induction Motor for Electric Vehicle Applications. NanoWorld J 9(S5): S101-S105.

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