Electric automobiles are at the leading edge of sustainable transportation. This effort to render transportation more ecologically friendly, since they reduce, if, not abolish reliance on conventional fuels and emit zero harmful emissions they, do however provide unique obstacles. One of the most significant challenges involves integrating AI along with additional technologies into the sector of transportation as electric vehicles replace more traditional gas powered vehicles. Their role in the transportation system expands and the demand on the power grid grows. This transition necessitates more electricity which poses a number of challenges. There is increased demand on the grid, which can put a strain on grid stability as well as the capacity to supply power reliably necessitating flexible solutions that will allow local grid administrators to successfully control and maximize the distribution of energy. Furthermore, as the number of electric vehicles grows charging infrastructure becomes increasingly important as charging facilities become increasingly critical for promoting electric vehicle use. Competition on power supply service sites increases, potentially affecting accessibility quality of service in public spaces to address these difficulties. An understanding of the dynamics inside the ecosystem of electrical vehicles is required. Together with interventions that use AI smart grid technology this study seeks to delve into these dynamics by exploring why it is crucial to regulate charging loads to ensure an high quality shift toward electric cars, exploring the intricacies of incorporating vehicles and leveraging AI to enhance energy efficiency and manage infrastructure. This study aims to provide insights and recommendations for fostering a robust and effective electric vehicle charging network.


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    Title :

    AI‐Driven Electric Vehicle Integration for Sustainable Transportation


    Contributors:


    Publication date :

    2025-06-24


    Size :

    19 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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