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ISSN 2063-5346
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A NOVEL CHAOTIC TUNICATE SWARM ALGORITHM FOR SELECTION OF OPTIMAL DESIGN PARAMETERS FOR ELECTRIC AND HYBRID ELECTRIC VEHICLES

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Kamaldeep Sharma1*, Vikram Kumar Kamboj2 , Sanjay Marwaha
» doi: 10.48047/ecb/2023.12.si5a.072

Abstract

The transportation sector is a significant contributor to greenhouse gas emissions and air pollution. As a result, there is a growing demand for alternative modes of transportation that are environmentally friendly and sustainable. Electric and hybrid electric vehicles (EVs and HEVs) are being developed as a solution to this problem. This research paper explores the design parameters of EVs and HEVs and the scope of transportation offered by these vehicles. The design of electric and hybrid electric vehicles (EVs and HEVs) involves selecting optimal design parameters to maximize their efficiency and performance. However, the selection of these parameters is a complex and challenging problem that requires the consideration of multiple variables. In this research paper, we propose the use of the Chaotic Tunicate Swarm Algorithm (CTSA) for selecting optimal design parameters for EVs and HEVs. The CTSA is a new optimization algorithm that has been developed based on swarm intelligence and chaotic dynamics. The results of our study show that the CTSA can effectively optimize the design parameters of EVs and HEVs, leading to improved efficiency and performance

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