采用水平后退控制的并联混合动力汽车驾驶仿真

Soonil Jeon, Kibok Kim, Sung-tae Jo, J. Lee
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引用次数: 5

摘要

并联混合动力汽车的油耗和催化排放受发动机工作区域的影响。众所周知,在最优工况下运行发动机在油耗方面是有利的。建立了并联HEV的线性定常数学模型。由于RHC(后退地平线控制)在状态约束和控制约束下具有良好的跟踪性能,因此我们采用RHC(后退地平线控制)来操作OOL中的发动机。利用线性矩阵不等式(LMI)形式的半定规划方法,得到了该RHC。在本文中,主要有两个主题。首先,在发动机和电机性能的状态约束和控制约束下,仿真了系统的最优跟踪问题。其次,将RHC与迭代仿真相结合,提取最优传动比。在该仿真中,车辆被命令跟踪参考车辆轨迹,发动机运行在由状态约束确定的最优运行区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Driving simulation of a parallel hybrid electric vehicle using receding horizon control
Fuel-consumption and catalyst-out emissions of a parallel HEV (hybrid electric vehicle) are affected by operating region of an engine. It is generally known that it is profitable in fuel-consumption to operate engine in OOL (optimal operating line). We established the mathematical model of a parallel HEV, which is linear time-invariant. To operate an engine in OOL, we applied RHC (receding horizon control), because it has the advantages such as good tracking performance under the state and control constraints. This RHC is obtained by using the semi-definite programming in the LMI (linear matrix inequality) form. In this paper, there are two main topics. First, under state and control constraints by the engine and motor performances, the optimal tracking of OOL was simulated. Second, we combined the RHC with the iterative simulation to extract the optimal gear ratio. In this simulation, the vehicle is commanded to track the reference vehicle trajectory, and the engine is operated in the optimal operating region which is made by the state constraints.
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