Model Predictive Control for Hybrid Electric Vehicles with Linear Parameter-Varying Model
Model Predictive Control for Hybrid Electric Vehicles with Linear Parameter-Varying Model
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发表时间：
2018-10
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通讯作者：
Yuta Takahashi;K. Hidaka
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作者：
Yuta Takahashi;K. Hidaka
本文提出了一种控制器，以提高燃油经济性的功率分流的混合动力电动汽车使用模型预测控制与线性参数变化系统。动力分配结合了串联和并联混合动力车辆的优点，并且可以通过使用行星齿轮组分配发动机功率来驱动发电机为电池充电。传统的研究提出了基于行驶循环的控制方法，以提高混合动力汽车的燃油经济性。然而，这些方法取决于驾驶周期。因此，我们使用模型预测控制来改善混合动力电动汽车的燃料经济性，并考虑混合动力电动汽车模型与车速作为一个参数，因为动态的每个驱动单元的混合动力电动汽车波动取决于车速。我们使用MATLAB和Simulink评估我们所提出的方法的有效性和性能。
This paper proposes to design a controller to improve a fuel economy of a power-split hybrid electric vehicle using model predictive control with linear parameter-varying systems. A power-split combines the best point of both series and parallel hybrid vehicles, and can drive a generator to charge a battery by dividing engine power by using a planetary gear set. Conventional researches have proposed control methods on the basis of the driving cycle to improve the fuel economy of hybrid electric vehicles. However, the methods depend on the driving cycle. Therefore, we use model predictive control to refine the fuel economy of hybrid electric vehicles, and consider a hybrid electric vehicle model with the vehicle speed as a parameter since dynamics on each drive unit of hybrid electric vehicles fluctuate depending on the vehicle speed. We evaluate the effectiveness and performance of our proposed method using MATLAB and Simulink.