Minimum Fuel Control Strategy in Automated Car-Following Scenarios
Minimum Fuel Control Strategy in Automated Car-Following Scenarios
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DOI：
10.1109/tvt.2012.2183401
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发表时间：
2012-01
影响因子：
6.8
通讯作者：
S. Li;H. Peng;Keqiang Li;Jianqiang Wang
中科院分区：
文献类型：
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作者：
S. Li;H. Peng;Keqiang Li;Jianqiang Wang
传统地面车辆的燃料消耗受车辆驾驶方式的影响很大。本文重点研究了自动跟车中脉冲滑移策略的伺服回路控制设计，以最小化燃油消耗。提出了一种基于交换的实时实现框架。相应的控制器合成的理想条件下，随后增强，以补偿实际因素，如动力系统动态，速度变化，和植物的不确定性。在均匀和自然的交通流的仿真表明，与线性二次（LQ）为基础的基准控制器相比，PnG控制器提高燃油经济性高达20%。在保持精确的范围界限的同时实现了显著的燃料节省，从而遏制了对安全/交通流量的负面影响。所开发的算法可以潜在地嵌入自适应巡航控制系统，以实现节油功能。
Fuel consumption of traditional ground vehicles is significantly affected by how the vehicles are driven. This paper focuses on the servo-loop control design of a Pulse-and-Gliding (PnG) strategy to minimize fuel consumption in automated car following. A switching-based framework is proposed for real-time implementation. The corresponding controller was synthesized for ideal conditions and subsequently enhanced to compensate for practical factors such as powertrain dynamics, speed variations, and plant uncertainties. Simulations in both uniform and naturalistic traffic flows demonstrate that, compared with a linear quadratic (LQ)-based benchmark controller, the PnG controller improves fuel economy up to 20%. The significant fuel saving is achieved while maintaining precise range bounds so that the negative impact on safety/traffic flow is contained. The developed algorithm can potentially be embedded in adaptive cruise control systems to achieve fuel-saving function.