Abstract
Electric vehicles are recognized as an effective way to alleviate the energy crisis and environmental degradation, and extended range electric vehicles which have both the technical advantages of hybrid electric vehicles and pure electric vehicles, have gradually become a research hotspot in the automotive industry. In this paper, the system structure design of the extended range electric vehicle is carried out. On the basis of the pure electric vehicle, the engine and generator set are added. The control strategy model is established and the simulation research is carried out. The results show that the proposed control strategy model optimizes the working range of the range extender, takes into account the performance of the battery and the drive motor, and shows good tracking characteristics.
Highlights
Establishment of control strategy modelIn the power following control strategy, the drive motor power will change fast following the vehicle state, and it’s hard to use mathematic model to descript the changing[5,6,7]
Electric vehicles are recognized as an effective way to alleviate the energy crisis and environmental degradation,and extended range electric vehicles which have both the technical advantages of hybrid electric vehicles and pure electric vehicles, have gradually become a research hotspot in the automotive industry
Pt1 is set as the actual drive motor power and St1 as the smooth predictive value at t1 moment,so the motor power is predicted by the sequential index smoothing model as follows
Summary
In the power following control strategy, the drive motor power will change fast following the vehicle state, and it’s hard to use mathematic model to descript the changing[5,6,7]. We use the time series prediction and build the sequential index smoothing model to predict the drive motor power based on historical data of motor power. Pt1 is set as the actual drive motor power and St1 as the smooth predictive value at t1 moment,so the motor power is predicted by the sequential index smoothing model as follows. The transient state power demand is met by the battery. In this model, α is 0.5, so α(1 - α) is 0.03125.
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