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首页> 外文期刊>International Journal of Electric and Hybrid Vehicles >Design and evaluation of a real-time fuel-optimal control system for series hybrid electric vehicles
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Design and evaluation of a real-time fuel-optimal control system for series hybrid electric vehicles

机译：混合动力电动汽车实时燃油最优控制系统的设计与评估

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摘要

We propose a real-time optimal controller that will reduce fuel consumption in a series hybrid electric vehicle (HEV). This real-time drive cycle-independent controller is designed using a control-oriented model and Pontryagin's minimum principle for an off-line optimisation problem, and is shown to be optimal in real-time applications. Like other proposed controllers in the literature, this controller still requires some information about future driving conditions, but the amount of information is reduced. Although the controller design procedure explained here is based on a series HEV with NiMH battery as the electric energy storage, the same procedure can be used to find the supervisory controller for a series HEV with an ultra-capacitor. To evaluate the performance of the model-based controller, it is coupled to a high-fidelity series HEV model that includes physics-based component models and low-level controllers. The simulation results show that the simplified control-oriented model is accurate enough in predicting real vehicle behaviour, and final fuel consumption can be reduced using the model-based controller. Such a reduction in HEVs fuel consumption will significantly contribute to nationwide fuel saving.
机译：我们提出了一种实时最优控制器，它将减少串联混合动力汽车（HEV）的燃油消耗。这种实时驱动周期独立的控制器是使用面向控制的模型和Pontryagin针对离线优化问题的最小原理设计的，并被证明在实时应用中是最佳的。像文献中其他提出的控制器一样，该控制器仍然需要有关未来驾驶条件的一些信息，但是信息量却减少了。尽管此处说明的控制器设计过程基于镍氢电池串联的混合动力汽车作为电能存储，但是可以使用相同的过程来找到具有超级电容器的串联混合动力汽车的监控控制器。为了评估基于模型的控制器的性能，将其与高保真系列HEV模型耦合，该模型包括基于物理的组件模型和低级控制器。仿真结果表明，简化的面向控制的模型在预测实际车辆性能方面足够准确，并且可以使用基于模型的控制器来减少最终燃油消耗。混合动力汽车燃油消耗的这种减少将大大有助于全国范围内的燃油节省。

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