Abstract
In this paper, a model predictive speed and headway control (MPSHC) with multi-input and multi-output (MIMO) is developed for a series hybrid vehicle with range extender (BEVx). The MPSHC calculates the optimal solutions of the efficient driving strategy and the efficient power supply, with the vehicle longitudinal dynamics and battery dynamics. It takes the driver’s demand, the legal speed limit, the driving behavior of the preceding object vehicle, the topography and the state of charge (SoC) into account. The energy consumption as the objective is minimized in the predictive horizon. The simulation results show that the proposed MPSHC algorithm has a good energy saving potential, compared with the conventional Adaptive Cruise Control (ACC) and the simple energy supply strategy.
Highlights
Nowadays the Adaptive Cruise Control (ACC) driver assistance system keeps the set speed in speed control and copy the speed of the preceding object vehicle in order to keep the set distance in case of headway control
In response to the mentioned contributions, this paper presents the model predictive speed and headway control (MPSHC) extended from the already proposed MPC structure shown in [1] and [2] for a series hybrid vehicle with range extender, which has a battery with a big capacity
The proposed MPSHC is integrated in the simulation environment with the double-track vehicle model
Summary
Nowadays the ACC driver assistance system keeps the set speed in speed control and copy the speed of the preceding object vehicle in order to keep the set distance in case of headway control. It reduces the driver’s load and the risk of rear-end collision, but leads to a reduced electric range and unnecessary high fuel consumption, namely CO2 emissions, for series hybrid vehicles with range extender. In the CS mode, the lower limit is reached and the SoC is maintained around the lower limit by the range extender or the regenerative brake
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