Accelerating Sustainability: AI-Driven Boost for Electric Vehicle Transportation

Authors

  • Mounir El Khatib School of Business and Quality Management, Hamdan Bin Mohamad Smart University, Dubai, UAE
  • Shahad AlAli School of Business and Quality Management, Hamdan Bin Mohamad Smart University, Dubai, UAE
  • Shaima Al Sharqi School of Business and Quality Management, Hamdan Bin Mohamad Smart University, Dubai, UAE

DOI:

https://doi.org/10.54489/jzyx2743

Keywords:

Artificial Intelligence, AI, Sustainable Technology, Sustainability, Transportaion, Electric Vehicles

Abstract

The integration of Artificial Intelligence (AI) into Electric Vehicles (EVs) promises a transformative landscape for sustainable transportation. This research envisages a future where AI empowers EVs to champion environmental stewardship and efficiency. We explore two primary hypotheses focusing on AI's potential: firstly, its role in enhancing energy efficiency and prolonging EV sustainability, and secondly, its impact on smart charging infrastructure to expedite EV adoption. Drawing on literature reviews, case studies, and stakeholder engagement, we uncover the strategic, technical, and practical dimensions of AI in EVs. Our mixed-methods approach involving surveys and interviews with diverse stakeholders aims to illuminate AI's transformative potential and its implications for a sustainable transportation future. Emphasizing collaborative partnerships, education, and scalability, our recommendations aim to propel the seamless integration of AI into EVs, fostering a culture marked by sustainability and innovation. Ultimately, this endeavor envisions an ecosystem where AI and EVs harmonize, leading towards a cleaner, more efficient transportation landscape.

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Published

2024-06-22

How to Cite

Accelerating Sustainability: AI-Driven Boost for Electric Vehicle Transportation. (2024). International Journal of Computations, Information and Manufacturing (IJCIM), 4(1), 8-16. https://doi.org/10.54489/jzyx2743

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