AI-Integrated Solar Powered Autonomous Electric Vehicle and a Zero Tailpipe Emission Analysis

This paper explores the integration of Artificial Intelligence into Solar Powered Autonomous Electric Vehicle for achieving the optimized charging and the reduction of greenhouse gas emissions. Advanced AI-equipped SPAEVs are producing promising solutions for solving environmental problems caused by conventional internal combustion engine vehicles. These vehicles can reduce the dependence on fossil fuels and lower their carbon footprint by using artificial intelligence algorithms to improve vehicles' efficiency and harness power from the sun<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup>. Through this research, the researcher explores the technical aspects of incorporation of AI, such as sensor integration, route alignment, and power management in vehicles. It delves into how AI can improve a vehicle's effectiveness, its security, and general performance overall. This comprehensive analysis assesses the greenhouse gas emission reduction that can be attained from SPAEVs in comparison with the traditional vehicle. The approach of research will replicate a series of driving conditions, traffic, and levels of solar radiation in order to measure the environmental impact of SPAEVs. The outcomes from this research are anticipated to give good insight into how AI-empowered SPAEVs could work as an environment-friendly transportation. This proposed work adds to the growing knowledge that supports the use of electric and autonomous vehicles in helping fight climate change by demonstrating a considerable decrease in emissions<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</sup>.