An application on fuzzy logic based decision support system for electric vehicle charging stations

In order to increase the appeal of electric vehicles, it is critical to address their disadvantages compared to internal combustion engine vehicles. Further work may be required to reduce battery costs and increase charging ranges and the number of charging stations. This study aims to create an optimal driving route for electric vehicle drivers based on current electric vehicle technical specifications and the number of charging stations. This way, the goal is to provide a comfortable driving experience for electric vehicle users not only within cities but also for inter-city use. In this study, which was conducted using fuzzy logic, four different brands of charging stations with the most advanced charging station infrastructure along a specified route were marked on Google Earth. When designing the fuzzy logic controller, four different brands tariffs were used as input to calculate charging stations costs, distances to charging station routes and charging speeds at charging stations. With these inputs, the goal was to find the most suitable charging station among those located on the routes for electric vehicle users. The fuzzy logic controller was designed using the MATLAB interface. It was observed that the system functioned correctly with the random values provided in the designed fuzzy logic controller.