Abstract
Nowadays, according to the air pollution dependence to cars and limitations of fossil fuel, car companies take a significant step to deal with such problems among which hybrid electric vehicles can be inferred. One of the more common software which is used for simulating hybrid electric vehicles is the ADVISOR. Thus, in this paper, first the vehicle model is chosen in the ADVISOR simulator and the required information about the vehicle and the driving cycle is derived from this simulator. In order to reduce the cost of parallel hybrid electric vehicle, a new fuzzy-based control strategy is proposed. Also, in order to better provide the driver痴 demand a proportional controller is used. Finally, the results obtained from fuel consumption, battery state of charge and output pollution for a standard driving cycle in Urban Dynamometer Driving Schedule (UDDS) and Extra- Urban driving cycle (EUDC) is presented and compared with those obtained from other energy management methods. The results denote the ability of the designed controllers at improving the considered costs.
