Charging optimization due to a fuzzy feedback controlled charging algorithm

A part of the worldwide CO2 Emission can be reduced by changing the mobility to electric vehicles and charge them with renewable energy. Renewable energy sources are often decentralized and local and can be a part of smart buildings. To maximize the efficiency a self-consumption of this energy is desirable. The main focus of this paper is to find a controlling algorithm for charging stations, which balance the renewable feed in and the charging power under respecting the EV-user habits. A fuzzy-based control algorithm shows good results in a simulation. To evaluate the fuzzy algorithm for controlling charging algorithm it is implemented on a charging algorithm development environment. After a measurement of an uncontrolled (UC) and a controlled (CC) charging cycle, a changed charging curve is evaluated. The founded data show also positive impact of the charging controller to the power grid.