Author ORCID Identifier
Document Type
Presentation
Disciplines
Electrical and electronic engineering, Communication engineering and systems
Abstract
Range anxiety is a significant challenge affecting electric vehicles use as drivers fear running out of charge without finding a charging point on time. We develop methods to optimise the distribution of charging points. EV portacharge and GEECharge solutions distribute charging points in a city by considering the population density and Points Of Interest (POI) or road traffic. This paper focuses on (1) developing and evaluating methods to distribute Charging Points (CPs) in Dublin city; (2) optimising CP allocation; (3) visualising paths in the graph network to show the most used roads and points of interest; (4) describing a way to evaluate the efficacy of the solution generated. The CPs allocation provided empirical evidence that success occurs when an EV runs out of charge 500 metres from the CP. An average of 564 cars passed at intersection 1 per day in June 2021, and we determined that 125 CPs were the suitable number for the 1km2 cell selected during the simulation. Our findings established that the GEECharge method is 5.7% more efficient than the EV Portacharge method. We highlight that population density, POIs and the most used road factors are essential when developing a framework to distribute charging points.
DOI
https://doi.org/10.21427/2H1E-TM78
Recommended Citation
A. Mutiso Mutua, R. de Fréin, A. Malik, E. Kibanza, M. Sahbane, M. Pantel, ”Poster: Optimising Electric Vehicle Charging Infrastructure in Dublin using GEECharge”, IET EV Charging Ahead, : Nov. 2023. DOI: 10.21427/2H1E-TM78 @article{deFrein23Using, title = {Optimising Electric Vehicle Charging Infrastructure in Dublin using GEECharge}, journal = {EVI: Charging Ahead Conference}, publisher = {Institution of Engineering and Technology (IET)}, author = {Kibanza Eliel, Sahbane Marco, Pantel Maxime, Ruair\'{i} de Fr\'{e}in, Malik Ali, Alexander Mutiso Mutua}, year = {2023}, pages = {1--6}, }
Funder
Science Foundation Ireland
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Publication Details
IET EV Charging Ahead