Report
Definition and Development of a City-Level Co-simulation Platform for V2X
— 2025
Key information
Authors:
Published in
February 7, 2025
Description
The deliverable D3.4, "Definition and Development of a City-Level Co-simulation Platform for V2X" aims to develop a co-simulation platform that should allow the joint simulation of the city traffic, the distribution network, and the vehicle-to-everything (V2X) management strategies, to ultimately help with the decision of best placement for electric vehicle supply equipment (EVSEs) at the city level. This deliverable provides a high-level overview of the platform to facilitate the use and understanding of the source code. The methodology applied in the development of the platform is composed of four main stages: • Stage 1 is mainly responsible for the traffic simulation of the vehicles; • Stage 2 processes the energy requirements from the simulated electric vehicles (EVs) and de-fines typical recharging sites; • Stage 3 is responsible for the integration of the grid network; • Stage 4 processes the results of the previous stages and estimates the number of EVSEs, their locations, and the rated power of each equipment. The co-simulation platform integrates various existing tools to achieve its objectives, including the OSMnx package and the TomTom API, as well as the EV profiling tool developed for D1.2 of the EV4EU project: Impact of v2x in energy and power systems, primarily for Stage 1. A critical aspect is the need for typical behaviour profiles and EV profiles. These profiles serve as input to the traffic simulator and play a key role in representing V2X management strategies, significantly affecting the simulated results. User behaviour profiles comprise each user's daily routine and individual EV charging preferences, which may differ between weekdays and weekends. On the other hand, EV profiles aim to capture the typical characteristics of popular EVs, such as weight, efficiency, and battery capacity. Consequently, these profiles should be customised for each specific case study. Besides Stage1, the other fundamental part of the platform is Stage 3, incorporating two distinct but complementary functionalities: the first option is based on analysing data from secondary substations at the city level, while the second option consists of simulating the entire local network of the case study, accounting for all limiting factors, including substations, cable characteristics, and voltage/cur-rent constraints. This information is often difficult to obtain; Option 1 guarantees the platform's func-tionality with very accessible, still reduced data. The remaining stages are dedicated to processing and extracting outcomes. In particular, Stage 2 is mainly responsible for processing the data resulting from the traffic simulator and defining the first candidate options for EVSE locations. Finally, Stage 4 incorporates all the results from the previous stages and determines the optimal EVSE location, number and rated power to minimise total installa-tion costs. Additionally, the platform's functionality was demonstrated using a practical example for a region of Lisbon, Portugal. By simulating 1000 EVs over seven days, the platform determined that an optimal number of 39 locations is necessary. Among these, 16 are existing EVSE locations, and 14 require ca-pacity expansion. The remaining 23 locations are distributed
Publication details
Authors in the community:
Hugo Gabriel Valente Morais
ist428549
Publication language (ISO code)
eng - English
Rights type:
Open access
Financing entity
European Climate, Infrastructure and Environment Executive Agency
Title of the project, award or grant: Electric Vehicles Management for carbon neutrality in Europe
Funding Stream: HORIZON EUROPE
Identifier for the funding entity: https://doi.org/10.13039/501100021050
Type of identifier of the funding entity: Crossref Funder
Number for the project, award or grant: 101056765