Forecasting the spatial and temporal charging demand of fully electrified urban private car transportation based on large-scale traffic simulation
作者机构：Technische Universitäat BerlinChair of Methods for Product Development and MechatronicsStraße des 17.Juni 13510623 BerlinGermany Beijing Collaborative Innovation Center for Electric VehicleNational Engineering Laboratory for Electric VehiclesSchool of Mechanical EngineeringBeijing Institute of TechnologyBeijing 100081China
出 版 物：《Green Energy and Intelligent Transportation》 (新能源与智能载运（英文）)
年 卷 期：2023年第2卷第1期
页 面：48-66页
核心收录：
学科分类：08[工学] 0823[工学-交通运输工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：This research was funded by the Deutsche Forschungsgemeinschaft(DFG German Research Foundation)-project:“Multi-Domain Modeling and Optimization of Integrated Renewable Energy and Urban Electric Vehicle Systems”[grant number 410830482]
主 题：Electric vehicle Activity-based simulation Transportation electrification Spatial temporal distribution of charging demand Open data
摘 要：To support power grid operators to detect and evaluate potential power grid congestions due to the electrification of urban private cars,accurate models are needed to determine the charging energy and power demand of battery electric vehicles(BEVs)with high spatial and temporal ***,e-mobility traffic simulations are used for this *** particular,activity-based mobility models are used because they individually model the activity and travel patterns of each person in the considered geographical *** addition to inaccuracies in determining the spatial distribution of BEV charging demand,one main limitation of the activity-based models proposed in the literature is that they rely on data describing traffic flow in the considered ***,these data are not available for most places in the ***,this paper proposes a novel approach to develop an activity-based model that overcomes the spatial limitations and does not require traffic flow data as an input ***,a route assignment procedure assigns a destination to each BEV trip based on the evaluation of all possible *** basis of this evaluation is the travel distance and speed between the origin of the trip and the destination,as well as the car-access attractiveness and the availability of parking spots at the *** applicability of this model is demonstrated for the urban area of Berlin,Germany,and its 448 *** each district in Berlin,both the required daily BEV charging energy demand and the power demand are *** addition,the load shifting potential is investigated for an exemplary *** results show that peak power demand can be reduced by up to 31.7%in comparison to uncontrolled charging.
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