Abstract
To fully utilize electric power, the Dijkstra algorithm is used to plan the charging path for range extended electric vehicles (REEVs), based on a vehicle navigation system, intelligent transportation system (ITS)and intelligent power grid system. In accordance with the path planning result, the driving mileage information and reference <italic>SOC</italic> are introduced, the fuel economy and emissions of the vehicle are considered synthetically, and the segmented mileage adaptive control strategy is developed for the planning path, to ensure that the REEV can allocate the APU and the battery energy reasonably for different mileages. Based on MATLAB/Simulink results,the simulation model for the vehicle control strategy has been built and a simulation test has been conducted. The results show that, at the expense of a portion of the charging time, 1.77 L of fuel is saved and that the reduction in fuel consumption of the REEV can reach 92.64% when the mileage is approximately 175 km. The segmental range adaptive control strategy fully utilizes the power grid, and the positive effect of energy saving for vehicles is clear.
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