Future Electric Vehicle Technology Including AI for Long-Term Environmental Sustainability

By regulating electricity production and utilization and reducing vehicle emissions, transportation in the future will contribute to environmentally friendly growth, all of which are contributing to a dramatic shift in the global energy landscape. Thus, Electric Vehicles (EVs) have the potential to greatly influence energy consumption patterns by mitigating potential environmental risks. Future electric vehicle energy consumption management systems based on artificial intelligence (AI) will be crucial in the coming decades. Electric vehicle technology and smart modules are the wave of the future when it comes to powertrain design in automobiles. Many factors, including incompatibilities between users and cars, limitations in battery technology, charging infrastructure, and local government support, are preventing the widespread adoption of electric automobiles. Therefore, for electric vehicle adoption, it is critical to monitor developments in this area both now and in the future. The current methods for charging and relevant guidelines that could increase its flexibility are laid forth in this research. We provide a smarter electric vehicle solution as a whole and look at how AI is helping with electric car development. Based on their current level of development, this study aims to assess the adaptability of electric vehicles to particular problems. As a result, researchers may look into improving the categorization of procedures and criteria down the road.

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Publication Details

Published
2024-09-04
DOI
https://doi.org/10.1109/globalaisummit62156.2024.10947769
Citations
5
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
1.02
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article

Future Electric Vehicle Technology Including AI for Long-Term Environmental Sustainability

V. Shanmugapriya, Dheerendra Panwar, Siddharth Shankar Mishra
5 citations
Vehicle emissions and performance
1.02
article

Future Electric Vehicle Technology Including AI for Long-Term Environmental Sustainability

V. Shanmugapriya, Dheerendra Panwar, Siddharth Shankar Mishra
article en
5 citations

Abstract

By regulating electricity production and utilization and reducing vehicle emissions, transportation in the future will contribute to environmentally friendly growth, all of which are contributing to a dramatic shift in the global energy landscape. Thus, Electric Vehicles (EVs) have the potential to greatly influence energy consumption patterns by mitigating potential environmental risks. Future electric vehicle energy consumption management systems based on artificial intelligence (AI) will be crucial in the coming decades. Electric vehicle technology and smart modules are the wave of the future when it comes to powertrain design in automobiles. Many factors, including incompatibilities between users and cars, limitations in battery technology, charging infrastructure, and local government support, are preventing the widespread adoption of electric automobiles. Therefore, for electric vehicle adoption, it is critical to monitor developments in this area both now and in the future. The current methods for charging and relevant guidelines that could increase its flexibility are laid forth in this research. We provide a smarter electric vehicle solution as a whole and look at how AI is helping with electric car development. Based on their current level of development, this study aims to assess the adaptability of electric vehicles to particular problems. As a result, researchers may look into improving the categorization of procedures and criteria down the road.

University of Petroleum and Energy Studies (IN)
Responsible consumption and production
Openalex Percentile: Top 24%
Vehicle emissions and performance
1.02
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Future Electric Vehicle Technology Including AI for Long-Term Environmental Sustainability — V. Shanmugapriya, Dheerendra Panwar, et al. · (2024) | TGRS Research Map | TGRS