{"id":10240,"date":"2026-08-19T21:41:14","date_gmt":"2026-08-19T13:41:14","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=10240"},"modified":"2026-08-19T23:10:13","modified_gmt":"2026-08-19T15:10:13","slug":"jase-202611-34-059","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202611-34-059","title":{"rendered":"Solar and Wind Powered Electric Auto Rickshaw Charging Optimization using Giant Trevally Approach"},"content":{"rendered":"\n
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<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 34<\/a><\/p>\n<\/div>\n\n\n\n

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J.E. Moshe Dayan<\/i><\/a> and A. Immanuel Selvakumar<\/p>\n\n\n\n

Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore 641114,
Tamilnadu. India<\/p>\n<\/div>\n\n\n\n

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Received: April 25, 2026
Accepted: May 16, 2026
Publication Date: August 19, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Configuration of solar and wind powered electric auto rickshaw<\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:\u00a0 BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202611_34.059<\/a>\u00a0\u00a0<\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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Transportation is one of the main energy-related industries, and the energy sector has a major impact on the atmosphere and a large amount of global carbon pollution. The most popular mode of transportation for short-distance travel is the three-wheeler auto rickshaw, particularly when utilized as a taxi because of its compact design and minimal upkeep. But a plethora of trucks, buses, and rickshaws. These cars release a great deal of different poisonous and damaging particles and gases, and they require a lot of gasoline. This paper proposes a solar and wind-powered electric auto rickshaw. The proposed method is the Giant Trevally Optimizer (GTO). The objective of this proposed method is to reduce the total operation cost and emission of the system. The GTO method is utilized to provide an optimal solution by minimizing the cost of the system. By then, the performance of the proposed method is implemented in the MATLAB platform and compared to various existing techniques. The proposed method shows better results in all existing systems, like particle swarm optimization (PSO), artificial bee colony (ABC), and artificial neural network (ANN). In the proposed approach, the efficiency is 98%, which is higher than that of other existing systems.<\/p>\n\n\n\n

Keywords: Electric Vehicle, Renewable Energy, Solar, Wind, Sickle Type Turbine<\/em><\/p>\n\n\n\n

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