Year: 2024
Type: conference-paper
Abstract: Due to the rapid increase in electric vehicle (EV) adoption, there is a pressing need for expanded charging infrastructure to accommodate this growth. The core challenge lies in balancing the number of EVs with the availability of charging stations to minimize wait times and enhance user satisfaction. This study employs a data-driven approach, utilizing hypothetical surveys of 100 EV users to gather insights into their experiences and expectations. Due to constraints on survey approval, assumptions were made regarding user responses. MATLAB-based artificial neural network (ANN) simulations were conducted to optimize the allocation of charging stations against the number of EV users. This method helps in predicting the required number of charging stations to effectively reduce charging wait times and improve overall user experience.
Institution: Brunel University of London
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4407938494