An Overview of Optimization Challenges in Electric Mobility Charging Stations and Driver Behavior in Congested Cities

Abstract

As the electric transportation industry expands, is imperative to face the implications of this new infrastructure. In fact, this paper intends to generate a comprehensive overview of the challenges associated with the implementation of an electric vehicle charging system in Colombia's capital city Bogotá. Given the complexity of the problematic, it is divided into five main components: optimal location for charging stations, electric vehicles' routing algorithms, scheduling and queue management, driver's behavior and modeling of dynamical systems. This division, enables the analysis of methodologies such as swarm optimization algorithms, genetic-based algorithms, whale optimization algorithms, spherical fuzzy sets, Voronoi diagrams, dynamic weighted graphs, Lyapunov functions, generalized linear models, convolutional networks, Markov chains and some others in terms of how appropriate they are for providing a solution. Finally, a preliminary model to represent this dynamic is introduced along as further work taking as a starting point the representation of the system. © 2024 IEEE.