Mobile geographic range prediction for electric vehicles

• Author(s): Ferreira, João C. ; Monteiro, Vítor ; Afonso, João L.
• Date: 2011
• Persistent ID: http://hdl.handle.net/1822/15696
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Electric vehicle; Driving range; Geographic information system (GIS); Range prediction
• Document Type: Article
• Language: English

Description

Electric Vehicle (EV) requires new driver information systems because drivers need more information. The spread of mobile devices and communications cost reductions gives new business opportunities. Our work proposal is taking into account the range anxiety problem of drivers of EV and using GIS systems, we represent in a map the charging state range based on a predicting driving distance based on driving style, temperature, and charge level. All this information transferred and represented in a mobile device with a information integration of EV and public transportation.