Modeling and simulation of charging characteristics of electric vehicle group under the mode of autonomous driving-shared travel

IF 2.3 4区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IET Intelligent Transport Systems Pub Date : 2023-11-27 DOI:10.1049/itr2.12452

Junliang Zhu, Zhigang Wu, Chongchen Chen, Entong Su

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Abstract

Compared with the traditional travel mode, the increasingly mature autonomous driving and shared travel technologies can lead to a higher driving utilization rate and lower car parc; however, at the same time, they will bring unknown impacts to the trans-energy system. As a new generation of vehicles, the behavior of electric vehicles will also be affected. This paper describes and models the behavior of electric vehicle group in the autonomous driving-shared travel mode in detail, and uses the multi-agent technology to establish a large-scale electric vehicle group simulation model. This model fully considers the constraints of traffic network and charging station and the influence of fuel vehicles, which can simulate the actual scene well and be used to study the charging behavior of electric vehicle group. Finally, the simulation model is used to obtain the charging load curve of the electric vehicle group under the new travel mode and analyze the influence of travel upgrade and network topology on charging load.

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自动驾驶-共享出行模式下电动汽车群体充电特性建模与仿真

与传统出行方式相比，日益成熟的自动驾驶和共享出行技术可以带来更高的驾驶利用率和更低的汽车保有量;但与此同时，它们也会给跨能系统带来未知的影响。作为新一代的汽车，电动车的行为也会受到影响。本文对自动驾驶-共享出行模式下的电动汽车群体行为进行了详细描述和建模，并利用多智能体技术建立了大规模的电动汽车群体仿真模型。该模型充分考虑了交通网络和充电站的约束以及燃油车的影响，能较好地模拟实际场景，可用于研究电动汽车群体的充电行为。最后，利用仿真模型得到了新出行模式下电动汽车群的充电负荷曲线，分析了出行升级和网络拓扑对充电负荷的影响。

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来源期刊

IET Intelligent Transport Systems 工程技术-运输科技

CiteScore

6.50

自引率

7.40%

发文量

159

审稿时长

3 months

期刊介绍： IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf