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- W271766879 startingPage "1648" @default.
- W271766879 abstract "As environmental problems become more serious, research on the HEV(Hybrid Electric Vehicle) has become more extensively pursued by researchers in several countries. The main structure of the HEV at present is a parallel HEV. In this system, wheels of the vehicle are driven by the complex power of the motor and engine. Therefore, it is necessary to develop a complex control algorithm that appropriately distributes the torque of the combustion engine and the electric motor. In current HEVs, decomposition rate of the total torque for HEV to an engine torque and a motor torque is determined based on some simple parameters such as the state of charge or the vehicle's present speed, and so on. However, because the load pattern varies widely according to the vehicle's driving environment, the present HEV continues to show a low efficiency. Thus, the purpose of this study is development of the algorithm for power distribution to the engine and motor which is the most suitable in regard to change of load pattern for the sake of fuel economy and emission control.In this paper, first, in order to determine the optimum values in regard to fuel control, parameter analysis have been done. Secondly, an adaptive control system which will be able to adopt the power of engine and motor suitably to changes in the driving environment has been proposed. Finally, the effectiveness of the proposed control regarding the improvement of both fuel economy and emission have been confirmed through simulation analysis using Advisor-software." @default.
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- W271766879 date "2003-01-01" @default.
- W271766879 modified "2023-09-26" @default.
- W271766879 title "Gain-Scheduled Control for the Efficient Operation of a Power Train in a Parallel Hybrid Electric Vehicle According to Driving Environment" @default.
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- W271766879 doi "https://doi.org/10.1299/kikaic.69.1648" @default.
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