电气化
可执行文件
持续性
背景(考古学)
计算机科学
碳中和
运输工程
环境经济学
风险分析(工程)
业务
工程类
可再生能源
电
经济
电气工程
古生物学
操作系统
生物
生态学
作者
Wei Li,Haitao Ding,Nan Xu,Jianwei Zhang
出处
期刊:IEEE Transactions on Transportation Electrification
日期:2023-11-09
卷期号:: 1-1
被引量:2
标识
DOI:10.1109/tte.2023.3331727
摘要
In order to forward the development of transportation electrification and reach the goal of carbon neutrality, eco-driving techniques for electric vehicles (EVs) are widely concerned and studied due to their environmental and energy sustainability. This paper presents a comprehensive and systematic overview of eco-driving techniques for EVs with the aim of offering valuable ideas and feasible solutions for the researchers who are interested or engaged in this field. In this context, the primary factors, scenarios and executable methods of eco-driving for EVs are reviewed. Moreover, through performing statistics and analysis on a large amount of literature, the energy gains for different factors and scenes are quantified. In addition to classical scenarios, emerging eco-driving scenarios - wireless charging lanes are extensively summarized, and diverse executable methods varying from optimal control to reinforcement learning are analyzed and compared. Finally, according to the above-stated overview, research gaps are identified and recommendations are given for future research to address the unresolved gaps.
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