| Abstract |
During the last decade, the technologies related to the electric vehicles capture both the scientific and the industrial interest. In this context, the Smart Grid philosophy with the Vehicle-to-Grid concept poses a major role for the prevalence of the electric vehicles. Despite the presence of extended literature in the topic, the interoperability of different systems through well-adopted standards is still a challenge. Aiming to address this challenge and to support decision-making in a smart grid, this paper proposes a framework for the charging station selection in the case of electric vehicles. The framework employs the Analytic Hierarchy Process (AHP) and the Open Platform Communications-Unified Architecture (OPC-UA) standard. Specifically, the AHP is utilised to solve the multicriteria decision-making problem during the selection of the most appropriate charging station that will fulfil the needs of the electric vehicle driver. In addition, the OPC-UA enables the semantic modelling of the electric vehicle integrating all the interrelationships among the various subsystems and their components. As a result, a seamless information flow can be resulted among systems designed using different engineering disciplines (power electronics, mechanical, microelectronics, etc). The proposed framework is validated in the case study of a laboratory electric vehicle that is designed for urban transportations. |
