Plug-in Hybrid Electric Vehicle Control Strategy Parameter Optimization
نویسندگان
چکیده
Plug-in Hybrid Electric Vehicles (PHEVs) offer a great opportunity to significantly reduce petroleum consumption. The fuel economy of PHEV is highly dependent on All-Electric-Range (AER) and control strategy. Previous studies have shown that in addition to parameters influencing Hybrid Electric Vehicles (HEVs), control strategies of PHEVs are also influenced by the trip distance. This additional parameter makes it even more difficult to tune the parameters that minimize fuel consumption manually. This study uses a pre-transmission parallel PHEV model developed with the Powertrain System Analysis Toolkit (PSAT). A non derivative based algorithm called DIRECT (for DIvided RECTangles), is used to optimize the main control strategy parameters. The fuel economy and main performance criteria of the PHEVs are compared for the initial design and final optimal design. An optimal control solution resulting from an extensive search of the entire design space can provide physical insight into the PHEV operation.
منابع مشابه
Hierarchical Control Strategy of Heat and Power for Zero Energy Buildings including Hybrid Fuel Cell/Photovoltaic Power Sources and Plug-in Electric Vehicle
This paper presents a hierarchical control strategy for heat and electric power control of a building integrating hybrid renewable power sources including photovoltaic, fuel cell and battery energy storage with Plug-in Electric Vehicles (PEV) in smart distribution systems. Because of the controllability of fuel cell power, this power sources plays the main role for providing heat and electric p...
متن کاملOptimal Intelligent Control of Plug-in Fuel Cell Electric Vehicles in Smart Electric Grids
In this paper, Plug-in Fuel Cell Electric Vehicle (PFCEV) is considered with dual power sources including Fuel Cell (FC) and battery Energy Storage. In order to respond to a transient power demand, usually supercapacitor energy storage device is combined with fuel cell to create a hybrid system with high energy density of fuel cell and the high power density of battery. In order to simulate the...
متن کاملMulti-objective Optimization of Hybrid Electric Vehicle Equipped with Power-split Continuously Variable Transmission
This paper aims to find the efficient state of hybrid electric vehicle (HEV) by simultaneous optimization of the control strategy and the power train. The power transmission employed in this vehicle is a power-split continuously variable transmission (CVT) which uses several fixed ratio mechanisms. After describing this transmission, the rules of electric assist control strategy are introduced....
متن کاملFuel 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 s...
متن کاملModified Harmony Search Algorithm Based Unit Commitment with Plug-in Hybrid Electric Vehicles
Plug-in Hybrid Electric Vehicles (PHEV) technology shows great interest in the recent scientificliteratures. Vehicle-to-grid (V2G) is a interconnection of energy storage of PHEVs and grid. Byimplementation of V2G dependencies of the power system on small expensive conventional units canbe reduced, resulting in reduced operational cost. This paper represents an intelligent unitcommitment (UC) wi...
متن کاملPlug-in Vehicle Control Strategy: from Global Optimization to Real-time Application
Plug-in hybrid electric vehicles (PHEVs) have demonstrated the potential to significantly increase fuel economy. However, the overall efficiency of the powertrain system of any Hybrid Electric Vehicle (HEV) depends on the vehicle-level control strategy. To optimize the energy flow, a global optimization algorithm, based on the Bellman principle, was used to generate the most efficient operating...
متن کامل