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This paper undertakes a comprehensive investigation into electric vehicle (EV) drive systems, emphasizing design, simulation, and analysis to elevate performance and efficiency. A noteworthy aspect of this study lies in the incorporation of tailored models, introducing a novel approach to optimize EVs across a spectrum of environmental and infrastructure conditions. We initiate our inquiry by systematically classifying electric vehicles and scrutinizing market-specific models, setting the stage for a multifaceted exploration.The novelty of our research resides in the utilization of advanced simulation techniques to model various drive system architectures. This allows us to meticulously analyze a diverse array of performance parameters under varying operational scenarios, shedding light on the intricacies of EV behavior. Furthermore, our approach introduces tailored models, a pioneering method aimed at fine-tuning EV performance based on specific conditions such as topography, climate, and infrastructure availability. This study's significance extends beyond a theoretical examination; it offers practical insights for researchers, engineers, and policymakers engaged in the evolution of sustainable transportation. The inclusion of visual representations enhances the accessibility of complex technical information, ensuring that the findings contribute effectively to the ongoing discourse on optimizing electric vehicle drive systems for a cleaner, more efficient future.
Singh et al. (Sat,) studied this question.
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