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.
In this research the model of the Toyota Prius vehicle as a power-split Hybrid Electric Vehicle is chosen from ADVISOR and the information required about a vehicle and drive cycle are extracted from it. In order to have better energy management, a fuzzy compensator is used beside the planetary gear set, which is responsible for sharing power between energy sources. This compensator helps the planetary gear set on supplying the requested speed and torque from final drive and better sharing power between energy sources considering how the requested power instantaneous changes are. Also to provide the requested speed and torque in a better way a P controller is used. At the end, the results of implementation of this controller are compared to those of the primary model. The results show that the designed fuzzy rule based compensator is able to decrease the driving costs.
It is quantitatively shown that this fishing system using a plug-in hybrid fishing boat (PHEB) provides an outstanding CO2 reduction performance of more than 80 % compared with the simple diesel engine operation. This research has been conducted at the fishing area around a detached fishing island, Nushima, Japan. Based on the actual fuel consumption patterns of fishing by the fishermen, the quantitative analysis of daily fuel consumption was performed. The remarkable reduction of oil consumption is due to the high efficiency of the electric motor and the idling stop function during fixed fishing operation. The population of Nushma is 500 and 162 fishing boats are in daily operation. Among them, 117 boats (72 %) are working daily as a kind of fixed point fishing. When the access velocity and the return velocity of 30 minutes totally is decided, the daily fuel consumption by fixed position fishing is determined. It is also determined based on the actual fishing data that fixed point fishing is 8 hours daily in average. Using the CO2 reduction result of 80 % in this study for the fixed point fishing operation, it is expected that 468 kL (20 L X 117 boats X 250 days X 0.8) of the fuel and 1,220 ton-CO2 can be reduced annually. In Japan, about such 50,000 boats are fishing. So even in Japan, the total amount of CO2 reduction expected can reach 61,000 tons annually. This research has been conducted as part of the newly developed S2G two-way electricity transportation system (from ship to grid and from grid to ship) using the PHEB to prove the effective use of renewable energy for ship propulsion and successful reduction of CO2 emission under the research program of "Empirical study of the independence distribution energy system technology based on DC technology in a detached island and a fishing village" financed by the Ministry of Environment of Japan subsidy 2014-2016.