Fuel consumption optimization of a series hybrid electric vehicle utilizing fuzzy logic control

The controller of the hybrid electric vehicle determines the combustion engine start-stop time, the operation points, and regenerative brake energy. The Controlling approach of hybrid electric vehicles controls the amount of needed fuel in every driving situation. In the present study, the thermostat strategy is implemented along with fuzzy logic control and compared to the classic thermostat strategy. The fuel consumption is compared in two different strategies. GT-power and Simulink software are implemented to simulate the series hybrid electric model. The numerical model is compared and validated with experimental data. The validated numerical model calculates the vehicle fuel consumption in the new European driving cycle. Results show that the use of fuzzy logic control reduces the fuel consumption of series hybrid electric vehicle 4 percent compared to the classical control strategy.