The role of artificial intelligence in the mass adoption of electric vehicles

被引:60
|
作者
Ahmed, Moin [1 ]
Zheng, Yun [1 ]
Amine, Anna [1 ,2 ]
Fathiannasab, Hamed [1 ]
Chen, Zhongwei [1 ]
机构
[1] Univ Waterloo, Dept Chem Engn, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada
[2] Hinsdale Cent High Sch, 5500 South Grant St, Hinsdale, IL 60521 USA
基金
加拿大自然科学与工程研究理事会;
关键词
artificial intelligence; electric vehicle; electric vehicle charging station; smart grid;
D O I
10.1016/j.joule.2021.07.012
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The electrification of mass transportation is hailed as a solution for reducing global greenhouse-gas emissions and dependence on unsustainable energy sources. The annual sales of electric vehicles (EVs) has continued to rise since 2011, with a global sale of EVs of 2.1 million in 2019. This increase in sales is mainly due to continued improvement in the cost and performance of commercial EVs, increased EV options available to consumers, and environmental awareness. However, despite the positive outlook, EVs still face major challenges that hinder their rapid and widespread adoption: limited driving range, long charging times, and a lack of sufficient charging infrastructure. This review outlines the recent advances in EVs and related infrastructure, mainly from artificial intelligence (AI), which makes EVs a more attractive consumer option. The application of AI in improving EVs, facilitating EV charging stations, and EV integration with the smart grid is critically analyzed and reviewed. Finally, future trends and prospects in the area are discussed.
引用
收藏
页码:2296 / 2322
页数:27
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