Aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impact
Global energy trends are experiencing a profound transformation, and the future of transportation will boost sustainable development by controlling energy production and consumption while limiting vehicle emissions. Hence, Electric Vehicles (EVs) can substantially influence energy consumption trends...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
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| Series: | Environmental Challenges |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667010024000209 |
| _version_ | 1797292884997701632 |
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| author | Muhammad Rauf Laveet Kumar Saiful Azrin Zulkifli Atif Jamil |
| author_facet | Muhammad Rauf Laveet Kumar Saiful Azrin Zulkifli Atif Jamil |
| author_sort | Muhammad Rauf |
| collection | DOAJ |
| description | Global energy trends are experiencing a profound transformation, and the future of transportation will boost sustainable development by controlling energy production and consumption while limiting vehicle emissions. Hence, Electric Vehicles (EVs) can substantially influence energy consumption trends by addressing potential environmental hazards. In the coming decades, Artificial Intelligence (AI) based systems will play a crucial role in future EVs' overall energy management systems. Advanced electric vehicle technology and intelligent modules will lead the automotive powertrain architecture. Numerous barriers, such as government support in certain regions, user compatibility, vehicle limitation, battery technology, and charging infrastructure, limit electric vehicle expansion. Therefore, the current state and emerging trends in this area are a matter of concern for increasing the expansion of electric vehicles. This study presents the existing charging technologies and compatible standards that may assist in its adaptability. It also examines the applications of artificial intelligence in electric vehicle development to render a collectively smarter package for EVs. The current level of development, in accordance with the paper's purpose, is to deduce the adaptability of EVs to certain obstacles. Hence, the categorization of methodologies and standards may be investigated and improved by scholars at a later time. |
| first_indexed | 2024-03-07T20:04:01Z |
| format | Article |
| id | doaj.art-55cc88071a774385adba2eca7c9f7f49 |
| institution | Directory Open Access Journal |
| issn | 2667-0100 |
| language | English |
| last_indexed | 2024-03-07T20:04:01Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environmental Challenges |
| spelling | doaj.art-55cc88071a774385adba2eca7c9f7f492024-02-28T05:14:29ZengElsevierEnvironmental Challenges2667-01002024-01-0114100854Aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impactMuhammad Rauf0Laveet Kumar1Saiful Azrin Zulkifli2Atif Jamil3Department of Electronic Engineering, Dawood University of Engineering and Technology, Karachi, Pakistan; Corresponding author.Department of Mechanical and Industrial Engineering, Qatar University, QatarCenter for Automotive Research and Electric Mobility (CAREM), Universiti Teknologi PETRONAS, Seri Iskandar, MalaysiaDepartment of Computer System Engineering, Dawood University of Engineering and Technology, Karachi, PakistanGlobal energy trends are experiencing a profound transformation, and the future of transportation will boost sustainable development by controlling energy production and consumption while limiting vehicle emissions. Hence, Electric Vehicles (EVs) can substantially influence energy consumption trends by addressing potential environmental hazards. In the coming decades, Artificial Intelligence (AI) based systems will play a crucial role in future EVs' overall energy management systems. Advanced electric vehicle technology and intelligent modules will lead the automotive powertrain architecture. Numerous barriers, such as government support in certain regions, user compatibility, vehicle limitation, battery technology, and charging infrastructure, limit electric vehicle expansion. Therefore, the current state and emerging trends in this area are a matter of concern for increasing the expansion of electric vehicles. This study presents the existing charging technologies and compatible standards that may assist in its adaptability. It also examines the applications of artificial intelligence in electric vehicle development to render a collectively smarter package for EVs. The current level of development, in accordance with the paper's purpose, is to deduce the adaptability of EVs to certain obstacles. Hence, the categorization of methodologies and standards may be investigated and improved by scholars at a later time.http://www.sciencedirect.com/science/article/pii/S2667010024000209Electric vehiclesSustainabilityConductive chargingWireless chargingEmerging charging technologiesArtificial Intelligence |
| spellingShingle | Muhammad Rauf Laveet Kumar Saiful Azrin Zulkifli Atif Jamil Aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impact Environmental Challenges Electric vehicles Sustainability Conductive charging Wireless charging Emerging charging technologies Artificial Intelligence |
| title | Aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impact |
| title_full | Aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impact |
| title_fullStr | Aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impact |
| title_full_unstemmed | Aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impact |
| title_short | Aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impact |
| title_sort | aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impact |
| topic | Electric vehicles Sustainability Conductive charging Wireless charging Emerging charging technologies Artificial Intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2667010024000209 |
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