A Reliable Deployment Strategy for Public Electric Vehicle Charging Stations: A Discrete Event Simulation Model for Power Grid and Traffic Networks

Maïzi, Yasmina; Zhu, Ercheng; Wu, Ting; Zhou, Jintang

doi:10.1109/wsc40007.2019.9004794

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…Hiwatari et al [7] develop a layout method to plan charging infrastructure with the help of a road traffic simulator. A similar problem is considered by Maizi et al [8] who use an optimization model and a simulation approach to determine optimal locations and sizes of charging stations. Hiwatari et al [9] also apply a road traffic simulator to analyze the effectiveness of charging infrastructure.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Determination of the Number of Required Charging Stations on a German Motorway Based on Real Traffic Data and Discrete Event-Based Simulation

Witt

2023

LOGI – Scientific Journal on Transport and Logistics

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To make travelling with electric vehicles (EVs) over long distances as convenient as travelling with traditional vehicles, charging stations along motorways are necessary. Furthermore, waiting times for free charging points must be short to enable a fast onward journey, and this also on days with heavy traffic volumes. To determine the required number of charging stations in more detail, a model was created that simulates the process of arriving and leaving cars at a charging park based on real traffic data. For the traffic data, a location and date in the Munich region were chosen that represent a peak demand and thus a “worst case” scenario. The ability to cover such scenarios as well seems to be important because otherwise severe congestion with long waiting times would appear on days with heavy traffic, which would make the use of EVs very unattractive. It turned out that 150 to 600 charging stations – depending on the considered scenario – would be necessary to charge proportions of 10% to 20% of all passing cars.

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Section: Introduction and Literature Reviewmentioning

confidence: 99%

Determination of the Number of Required Charging Stations on a German Motorway Based on Real Traffic Data and Discrete Event-Based Simulation

Witt

2023

LOGI – Scientific Journal on Transport and Logistics

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Modeling Electric Vehicle Charging Demand with the Effect of Increasing EVSEs: A Discrete Event Simulation-Based Model

2021

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Electric vehicle (EV) use is growing at a steady rate globally. Many countries are planning to ban internal combustion engines by 2030. One of the key issues needed to be addressed before the full-scale deployment of EVs is ensuring energy security. Various studies have developed models to simulate and study hourly electricity demand from EV charging. In this study, we present an improved model based on discrete event simulation, which allows for modeling characteristics of individual EV users, including the availability of electric vehicle supply equipment (EVSE) outside homes and the charging threshold of each EV user. The model is illustrated by simulating 1000 random electric vehicles generated using data from an actual survey. The results agree with previous studies that daily charging demands do not significantly vary. However, the results show a significant shift in charging schedule during weekends. Moreover, the simulation demonstrated that the charging peak demand can be reduced by as much as 11% if EVSEs are made more available outside homes. Interestingly, a behavioral solution, such as requiring users to fully utilize their EV’s battery capacity, is more effective in reducing the peak demand (14–17%). Finally, the study concludes by discussing a few potential implications on electric vehicle charging policy.

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Economics of Battery Swapping for Electric Vehicles—Simulation-Based Analysis

Zhuge

Han

et al. 2022

Energies

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As electric vehicles have become increasingly popular in recent years, battery swapping technology has been promoted as an alternative to the time-consuming battery charging process. Nevertheless, battery swapping is held back by the trade-off between the additional battery investment and the short service time for users. In this paper, we developed simulation models to analyze the economics of battery swapping systems. In particular, we collected real data from eight battery swapping stations Guangzhou, China for the analysis. The results show that the service levels of the stations are reduced significantly as the number of users increases. On the other hand, economies of scale exists when implementing the battery swapping system. As the number of users increases, to maintain the same level of service level, the cost of the batteries shared by each user decreases. The analysis also suggests that, given the scale of potential users for an area, the marginal utility of increasing the number of stations will diminish. Finally, to maximize the utility and economic return of the service, we identified that there is a trade-off between the number of stations and the amount of batteries equipped in each station.

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A Reliable Deployment Strategy for Public Electric Vehicle Charging Stations: A Discrete Event Simulation Model for Power Grid and Traffic Networks

Cited by 3 publications

References 31 publications

Determination of the Number of Required Charging Stations on a German Motorway Based on Real Traffic Data and Discrete Event-Based Simulation

Determination of the Number of Required Charging Stations on a German Motorway Based on Real Traffic Data and Discrete Event-Based Simulation

Modeling Electric Vehicle Charging Demand with the Effect of Increasing EVSEs: A Discrete Event Simulation-Based Model

Economics of Battery Swapping for Electric Vehicles—Simulation-Based Analysis

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