Modeling and Analysis of Electric Vehicle User Behavior Based on Full Data Chain Driven
نویسندگان
چکیده
The rapid development of electric vehicles (EVs) has posed challenges to power grids and transportation networks. Accurately capturing the usage patterns EV users is a prerequisite for EVs’ interaction with electrified Thus, this paper proposes full data chain (FDC) driven model mine comprehensive characteristics. By collecting 150 private (PREVs), 100 commercial (CEVs), 50 official (OEVs) in Chongqing, China, driving characteristics are firstly mined by adoption origin-destination (OD) distribution portrait. Moreover, charging extracted based on state recognition chains. Then, vehicle different types comprehensively described density-based spatial clustering applications noise (DBSCAN). Finally, results user analyzed, effectiveness proposed verified regional load analysis urban road traffic flow comparison. findings provide source behavior planning, operation, control
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Jinyang Li∗, Xiaoshan Sun∗, Qi Liu∗, Wei Zheng†, Hengchang Liu∗ and John Stankovic‡ ∗School of Computer Science and Technology University of Science and Technology of China, Anhui, China Email: {ljyustc, sxs1166, liuqi100}@mail.ustc.edu.cn, [email protected] †Comprehend (Suzhou) Information Technology Inc. Suzhou, Jiangsu Email: [email protected] ‡Department of Computer Science University o...
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su14148600