重型卡车异构对策略队列的融合模型预测控制技术

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS
Christian Earnhardt, Ben Groelke, John Borek, C. Vermillion
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引用次数: 0

摘要

对于异构车辆(具有不同的质量、气动系数等)的成对或组,由于气动阻力减少,协作队列在某些情况下是有利的,而在其他情况下,由于车辆性能不匹配,协作队列是有害的。本文介绍了两种能够在独立车辆速度轨迹优化(VTO)和基于队列内所有车辆总燃油节约的协同队列/VTO方法之间交替的控制器。第一种方法是利用队列中车辆的质量差和即将到来的道路坡度来决定队列是否具有经济优势,依靠支持向量分类算法来做出切换决策。第二种方法同时运行独立VTO和协同VTO/队列,根据哪种方法预测未来一段高速公路的最低油耗来做出决策。使用一辆重型卡车的中等保真度Simulink模型对这些技术的性能进行了评估。结果显示,与不进行队列控制的基线控制器相比,队列后面车辆的油耗降低了5.1%至14.1%,其中确切的油耗改善取决于期望的跟随距离。这些结果也与整个路线上的基线进行了比较,提供了证据,证明在存在异质性的情况下,脱离一个排是有益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fused Model Predictive Control Techniques for Strategic Platooning Amongst Heterogeneous Pairs of Heavy-Duty Trucks
With pairs or groups of heterogeneous vehicles (with different masses, aerodynamic coefficients, etc.), collaborative platooning can be advantageous in some scenarios due to aerodynamic drag reduction, while being detrimental in other scenarios due to mismatches in vehicle properties. This paper introduces two controllers capable of alternating between independent vehicle velocity trajectory optimization (VTO) and a collaborative platooning/VTO approach based on the aggregate fuel savings of all vehicles within the platoon. The first uses the difference in mass between the vehicles within a platoon and the upcoming road grade to decide whether platooning will be economically advantageous, relying on a support vector classification algorithm to make the switching decision. The second runs both independent VTO and collaborative VTO/platooning in parallel, making a decision based on which method predicts the least amount of fuel consumption over an upcoming stretch of highway. The performance of these techniques was evaluated using a medium-fidelity Simulink model of a heavy-duty truck. Results show a 5.1% to 14.1% decrease in fuel consumption for the following vehicle of a platoon as compared to a baseline controller not platooning, where the exact fuel consumption improvement depends on the desired following distance. These results were also compared to a baseline that platooned over the entire route, providing evidence that there are situations where disengaging from a platoon is beneficial in the presence of heterogeneity.
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来源期刊
Mechatronic Systems and Control
Mechatronic Systems and Control AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.40
自引率
66.70%
发文量
27
期刊介绍: This international journal publishes both theoretical and application-oriented papers on various aspects of mechatronic systems, modelling, design, conventional and intelligent control, and intelligent systems. Application areas of mechatronics may include robotics, transportation, energy systems, manufacturing, sensors, actuators, and automation. Techniques of artificial intelligence may include soft computing (fuzzy logic, neural networks, genetic algorithms/evolutionary computing, probabilistic methods, etc.). Techniques may cover frequency and time domains, linear and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques of mechatronics that combine conventional and intelligent methods are also included. First published in 1972, this journal originated with an emphasis on conventional control systems and computer-based applications. Subsequently, with rapid advances in the field and in view of the widespread interest and application of soft computing in control systems, this latter aspect was integrated into the journal. Now the area of mechatronics is included as the main focus. A unique feature of the journal is its pioneering role in bridging the gap between conventional systems and intelligent systems, with an equal emphasis on theory and practical applications, including system modelling, design and instrumentation. It appears four times per year.
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