Design and Application of Energy Management Strategy for Extended-Range Electric Vehicles Based on A-ECMS
Extended-range electric vehicles are favored in the new energy vehicle market due to their high electric drive efficiency and the absence of range anxiety. To further enhance their overall performance, this study constructs an extended-range electric vehicle simulation model in MATLAB/Simulink environment. Subsequently, an Adaptive Equivalent Fuel Con-sumption Minimum Strategy (A-ECMS) is developed using the equivalent adaptive factor to improve the Equivalent Fuel Con-sumption Minimum Strategy (ECMS) algorithm. The results, under a WLTC operating condition, show that the comprehensive fuel consumption per 100 kilometers of A-ECMS energy management strategy is 6.42 L, and the comprehensive fuel consump-tion is 0.71 L, both of which are lower than other methods. The final state of charge (SOC) of the battery is 31.1％, with a devi-ation of only 1.1％from the target SOC. The experimental results confirm that this strategy has good fuel economy and is bene-ficial for improving the service life of batteries, providing a new method reference for optimizing the performance of extended-range electric vehicles.
Extended-range electric vehiclesenergy managementstrategy designECMS
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