Implementation of a System to Find Suitable Charging Stations for Electric Cars

Charging station is an electrical system infrastructure designed to recharge electric cars. And there are different types of charging stations based on the type of connector/plug it uses and the mode of charging it operates in. Therefore, electric car users have to choose a station compatible to their cars. The thesis has presented a thorough research on how public charging stations work and the elements involved in electric car charging process such as battery capacity, charging modes, plug types and charging station power output. It also provides a comprehensive research from several sources on the electric cars currently (as in May 2018) available in the market, their battery size and the manufacturer provided plug type. To achieve better user experience of charging stations, an app was developed as a system implementation for eleven hypothetical charging stations located in four places in the city of Vaasa, Finland. The app has successfully simulated the availability status check for the stations. It also calculates the estimated charging time and charging costs specific for any electric car. The app was developed using android studio and it can be launched in any android phone with API 15 and above.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

A predictive model to support the widespread diffusion of electric mobility

The need to reduce pollution, relatively low cost of ownership, and the recent news about exhaust fumes emissions tampering have the potential to increase electric car sales. However, electric cars also need a network of fast charging stations to allow a quickly recharge when driving relatively long routes. This could be achieved by locating charging station for instance in motorway service areas. Additional issues include finding an ideal source for the needed recharge energy. The aim of this study is to develop a predictive study in order to enable the widespread diffusion of electric mobility and to optimize the deployment of the charging infrastructure necessary for its sustainability. In this paper, a preliminary model toward such goal will be proposed, including a discrete event simulator that could be used both to identify critical variables parameters and terms of the model, as well as to calibrate the parameter values from measured data