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Optimal control of a parallel hybrid vehicle with a traffic preview

机译:具有交通预览的并行混合动力汽车的最优控制

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摘要

In this work, a short preview of traffic provided by on-board sensors is used to minimize fuel consumption in a parallel hybrid vehicle capable of controlling both the vehicle velocity and the torque-split ratio. A two-stage version of Pontryagin's minimum principle was used, but some of the standard simplifying assumptions in reduced-order modelling of hybrid vehicles were avoided to ensure that the fuel economy is not unduly compromised. The proposed controller is implemented in a receding-horizon fashion to incorporate updated telemetry information at each sampling instant. The effectiveness of the proposed method is demonstrated by simulations on two hybrid vehicle models containing higher-order dynamics and non-linearities. It is shown that the controller maintains the engine operation within the high-engine-efficiency region, and successive improvements in the fuel economy are achieved as the traffic preview length is increased.
机译:在这项工作中,使用了由车载传感器提供的交通量的简短预览,以最大程度地减少能够控制车速和扭矩分配比的并联混合动力汽车的燃油消耗。使用了Pontryagin最小原理的两阶段版本,但是避免了混合动力汽车降阶建模中的一些简化标准假设,以确保不会过度降低燃油经济性。所提出的控制器以后退水平的方式实现,以在每个采样时刻合并更新的遥测信息。通过对两种包含高阶动力学和非线性的混合动力汽车模型进行仿真,证明了该方法的有效性。结果表明,控制器将发动机运行保持在高发动机效率区域内,并且随着交通预告长度的增加,燃油经济性也得到了持续改善。

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