Optimal charging design and analysis for electric vehicles based on SOC and parking duration at charging stations using fuzzy logic based controllers.

The increase in electric vehicles affects the distribution system by triggering several disturbances such as voltage stress, high voltage fluctuations, voltage drops during peak loads, damage to distribution transformers, and even blackouts. It allows proper management when charging the electric vehicle. Therefore, this study uses a fuzzy logic-based controller to design an optimal charging system for electric vehicles based on the SOC (State of Charge) and Parking Duration. This charging management uses the concept of the vehicle-to-vehicle power transfer directed by scoring. Furthermore, simulations are carried out with subscription restrictions to the grid. The results showed that using this optimal charging system can flatten the load curve with the two inputs. However, the simulation results showed that the presence of FLC in the system can reduce the peak load on the system from 12 kW to 5.1 kW, and SOC (state of charge) at departure time is higher than initial arrival, even in some conditions can reach 100%. [ABSTRACT FROM AUTHOR]