Towards a collective knowledge for a smart electric vehicle charging strategy

• Autor(es): Ferreira, João C. ; Afonso, João L.
• Data: 2011
• Identificador Persistente: http://hdl.handle.net/1822/19445
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Collective knowledge; Data mining; Simulation; Electric vehicle; Energy market; Smart grids; Vehicle-to-grid; Mobile device
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

In this work is proposed the design of a system to create and handle Electric Vehicles (EV) charging procedures, based on intelligent process. Due to the electrical power distribution network limitation and absence of smart meter devices, Electric Vehicles charging should be performed in a balanced way, taking into account past experience (spread in a social network). In order to allow information exchange and to help user mobility, it was also created a mobile application to assist the EV driver on these processes. This proposed Smart Electric Vehicle Charging System uses Vehicle-to-Grid (V2G) technology, in order to connect Electric Vehicles and also renewable energy sources to Smart Grids (SG). This system also explores the new paradigm of Electrical Markets (EM), with deregulation of electricity production and use, in order to obtain the best conditions for commercializing electrical energy.