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优化 18

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Data-driven rolling eco-speed optimization for autonomous vehicles

《工程管理前沿（英文）》 doi: 10.1007/s42524-023-0284-y

摘要： In urban settings, fluctuating traffic conditions and closely spaced signalized intersections lead to frequent emergency acceleration, deceleration, and idling in vehicles. These maneuvers contribute to elevated energy use and emissions. Advances in vehicle-to-vehicle and vehicle-to-infrastructure communication technologies allow autonomous vehicles (AVs) to perceive signals over long distances and coordinate with other vehicles, thereby mitigating environmentally harmful maneuvers. This paper introduces a data-driven algorithm for rolling eco-speed optimization in AVs aimed at enhancing vehicle operation. The algorithm integrates a deep belief network with a back propagation neural network to formulate a traffic state perception mechanism for predicting feasible speed ranges. Fuel consumption data from the Argonne National Laboratory in the United States serves as the basis for establishing the quantitative correlation between the fuel consumption rate and speed. A spatiotemporal network is subsequently developed to achieve eco-speed optimization for AVs within the projected speed limits. The proposed algorithm results in a 12.2% reduction in energy consumption relative to standard driving practices, without a significant extension in travel time.

关键词： data-driven learning speed optimization autonomous vehicles energy saving

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Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

《工程管理前沿（英文）》 2017年第4卷第4期页码 408-417 doi: 10.15302/J-FEM-2017042

摘要： Train speed trajectory optimization is a significant issue in railway traffic systems, and it plays a key role in determining energy consumption and travel time of trains. Due to the complexity of real-world operational environments, a variety of factors can lead to the uncertainty in energy-consumption. To appropriately characterize the uncertainties and generate a robust speed trajectory, this study specifically proposes distance-speed networks over the inter-station and treats the uncertainty with respect to energy consumption as discrete sample-based random variables with correlation. The problem of interest is formulated as a stochastic constrained shortest path problem with travel time threshold constraints in which the expected total energy consumption is treated as the evaluation index. To generate an approximate optimal solution, a Lagrangian relaxation algorithm combined with dynamic programming algorithm is proposed to solve the optimal solutions. Numerical examples are implemented and analyzed to demonstrate the performance of proposed approaches.

关键词： train speed trajectory optimization railway operation stochastic programming

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Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

《工程管理前沿（英文）》 2021年第8卷第4期页码 595-614 doi: 10.1007/s42524-021-0173-1

摘要： Train speed profile optimization is an efficient approach to reducing energy consumption in urban rail transit systems. Different from most existing studies that assume deterministic parameters as model inputs, this paper proposes a robust energy-efficient train speed profile optimization approach by considering the uncertainty of train modeling parameters. Specifically, we first construct a scenario-based position–time–speed (PTS) network by considering resistance parameters as discrete scenario-based random variables. Then, a percentile reliability model is proposed to generate a robust train speed profile, by which the scenario-based energy consumption is less than the model objective value at

α

confidence level. To solve the model efficiently, we present several algorithms to eliminate the infeasible nodes and arcs in the PTS network and propose a model reformulation strategy to transform the original model into an equivalent linear programming model. Lastly, on the basis of our field test data collected in Beijing metro Yizhuang line, a series of experiments are conducted to verify the effectiveness of the model and analyze the influences of parameter uncertainties on the generated train speed profile.

关键词： robust train speed profile percentile reliability model scenario-based position–time–speed network mixed-integer programming

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Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

《机械工程前沿（英文）》 2012年第7卷第4期页码 445-452 doi: 10.1007/s11465-012-0338-z

摘要：

This paper investigates optimization problem of the cutting parameters in high-speed milling on NAK80 mold steel. An experiment based on the technology of Taguchi is performed. The objective is to establish a correlation among spindle speed, feed per tooth and depth of cut to the three directions of cutting force in the milling process. In this study, the optimum cutting parameters are obtained by the grey relational analysis. Moreover, the principal component analysis is applied to evaluate the weights so that their relative significance can be described properly and objectively. The results of experiments show that grey relational analysis coupled with principal component analysis can effectively acquire the optimal combination of cutting parameters and the proposed approach can be a useful tool to reduce the cutting force.

关键词： high-speed milling grey relational analysis principal component analysis parameters optimization

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Hierarchical model updating for high-speed maglev vehicle/guideway coupled system based on multi-objectiveoptimization

《结构与土木工程前沿（英文）》 2024年第18卷第5期页码 788-804 doi: 10.1007/s11709-023-1032-4

摘要： The high-speed maglev vehicle/guideway coupled model is an essential simulation tool for investigating vehicle dynamics and mitigating coupled vibration. To improve its accuracy efficiently, this study investigated a hierarchical model updating method integrated with field measurements. First, a high-speed maglev vehicle/guideway coupled model, taking into account the real effect of guideway material properties and elastic restraint of bearings, was developed by integrating the finite element method, multi-body dynamics, and electromagnetic levitation control. Subsequently, simultaneous in-site measurements of the vehicle/guideway were conducted on a high-speed maglev test line to analyze the system response and structural modal parameters. During the hierarchical updating, an Elman neural network with the optimal Latin hypercube sampling method was used to substitute the FE guideway model, thus improving the computational efficiency. The multi-objective particle swarm optimization algorithm with the gray relational projection method was applied to hierarchically update the parameters of the guideway layer and magnetic force layer based on the measured modal parameters and the electromagnet vibration, respectively. Finally, the updated coupled model was compared with the field measurements, and the results demonstrated the model’s accuracy in simulating the actual dynamic response, validating the effectiveness of the updating method.

关键词： high-speed maglev vehicle/guideway coupled model field measurement model updating neural network multi-objective optimization

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Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Jie OUYANG, Bin LI, Shihua GONG

《机械工程前沿（英文）》 2013年第8卷第2期页码 118-126 doi: 10.1007/s11465-013-0253-y

摘要：

To enhance the performance of high speed transfer system of LED chip sorting equipment, its control parameters need to be well matching with the mechanical system. In practical issues, it is difficult and time-consuming work to get these parameters matched because their selection is strongly depended on individuals. In current work, an integrated optimization method was carried out to solve this problem, in which the multiple control parameters optimization, modeling and simulation were included, i.e., a multi-domain model of transfer system performed on Dymola platform. Based on this model, the searching area of the key control parameters was narrowed by performing integrated optimization. After that a group of parameters were selected from this narrowed area to perform the equipment’s controls. The result showed this method possesses a simple and reliable nature. The optimal solutions also indicated that the optimized control parameters can well satisfy the requirements of transfer system. On the other hand, it greatly reduced the engineering adjustment time by using this method.

关键词： LED chip sorter multi-domain modeling and simulation parameter optimization modelica language

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高速列车转向架技术研究

赵明花,梁树林,宋春元

《中国工程科学》 2015年第17卷第4期页码 53-62

摘要：

高速铁路运营对转向架技术提出了更高要求，为能设计出性能更优越的动车组转向架，调查了中国高速动车组的线路条件、动车组的车轮踏面磨耗情况，分析轮轨匹配关系；动力学分析中考虑了转臂节点、抗蛇行减振器、空气弹簧等部件的非线性特性，橡胶、减振器等减振元件高低温变化条件下车辆参数的变化，电机弹性悬挂方式等，在实际轮轨匹配关系基础上建立了车辆系统动力学模型。动力学系统仿真选择了最优悬挂参数，结合部件台架测试对悬挂元件进行了工程化设计；为掌握转向架服役周期内关键部件可靠性，对运用动车组转向架进行了大量的动应力测试，系统分析了中国无砟轨道条件下转向架主要承载区域载荷随车辆运营周期、不同气候条件、不同线路条件下的变化趋势，建立了中国高速列车载荷谱体系。通过结构、悬挂、传动、制动、焊接、降噪、轮轨等系统集成，形成高速列车转向架技术体系。

关键词：高速列车；轮轨关系；系统动力学；载荷谱；结构优化

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Energy-saving operation approaches for urban rail transit systems

Ziyou GAO, Lixing YANG

《工程管理前沿（英文）》 2019年第6卷第2期页码 139-151 doi: 10.1007/s42524-019-0030-7

摘要： With the accelerated urbanization in China, passenger demand has dramatically increased in large cities, and traffic congestion has become serious in recent years. Developing public urban rail transit systems is an indispensable approach to overcome these problems. However, the high energy consumption of daily operations is an emerging issue due to increased rail transit networks and passenger demands. Thus, reducing the energy consumption and operational cost by using advanced optimization methodologies is an urgent task for operation managers. This work systematically introduces energy-saving approaches for urban rail transit systems in three aspects, namely, train speed profile optimization, utilization of regenerative energy, and integrated optimization of train timetable and speed profile. Future research directions in this field are also proposed to meet increasing passenger demands and network-based urban rail transit systems.

关键词： urban rail transit energy saving speed profile optimization regenerative energy train timetable

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新一代中国高速铁路动车组面临的技术挑战与策略研究

缪炳荣,张卫华,邓永权,李旭娟,梅桂明

《中国工程科学》 2015年第17卷第4期页码 98-102

摘要：

基于新一代中国高速列车（动车组）关键技术的研究发展趋势和策略问题进行详细讨论和技术展望。主要内容包括：首先，介绍国际先进轨道车辆制造商在其新一代车辆开发过程中采用的先进设计技术和理念，分层次研究其各自的核心技术特点和未来其可能的技术发展趋势。其次，在国内外文献研究的基础上，结合中国高速铁路车辆发展的自身特点和实际情况，针对具体的牵引传动技术、转向架技术、车体设计技术等可能面临的核心技术难题，提出一些分析建议。最后，在综合考虑轨道车辆造型发展趋势及设计原则的基础上，根据集成设计的理论与多学科优化设计方法，针对新一代中国高速铁路动车组可能面临的重大技术挑战与策略和改进措施的研究提出一些明确的建议。总之，通过本文的初步研究，希望可以对我国高速列车未来的发展方向和趋势提出一些有益的建议。

关键词：高速铁路；高速列车；新一代；关键技术；集成设计；多学科优化

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高速高精度机床热分析与热设计技术

高建民,史晓军,许艾明,赵博选

《中国工程科学》 2013年第15卷第1期页码 28-33

摘要：

随着机床高速高精度的技术发展，热问题已成为影响机床特性的重要因素。从提高机床的固有热性能出发，系统介绍了机床热特性分析、热结构优化及其冷却技术的理论和方法，以及国内外研究现状，并探讨了机床“热设计”理论与技术的最新进展和未来研究重点及趋势。

关键词：高速高精度机床热特性分析热结构优化冷却技术

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用遗传算法求解供水泵站的效率优化问题

廖莉,林家恒,张承慧

《中国工程科学》 2002年第4卷第9期页码 54-58

摘要：

供水企业向来是城市的用电大户，其用电量主要体现在泵站水泵机组的电耗上。供水泵站的高效运行对节约电能、安全供水具有极为重要的意义。文章对供水泵站的效率优化问题进行了探讨，在提出用指数曲线准确地拟合水泵性能曲线的基础上，建立了供水栗站效率优化问题的数学模型，并设计了相应的遗传算法进行求解，仿真实验结果表明了该算法合理、有效。

关键词：供水泵站数值拟合优化遗传算法

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航空发动机多学科设计优化技术研究

尹泽勇,米栋,吴立强,肖根升,刘飞春,李立君

《中国工程科学》 2007年第9卷第6期页码 1-10

摘要：

多学科设计优化（MDO）是为实现复杂产品设计方法升级换代的最佳技术途径。针对先进航空发动机设计面临的各学科间耦合关系复杂、指标冲突严重等困难，按零件、部件和总体方案设计３个阶段对MDO的各项关键技术开展了研究、开发及应用工作，提出了基于MDO技术的航空发动机一体化设计方法。给出的５个工程应用实例表明，该方法与传统设计方法相比，能大幅提高航空发动机设计水平，具有广泛的工程应用前景。

关键词：航空发动机设计多学科设计优化零件级优化部件级优化总体优化

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Value and governance of high-speed railway

Xiaoyan LIN, Zehua ZHANG, Meng WANG

《工程管理前沿（英文）》 2017年第4卷第4期页码 463-482 doi: 10.15302/J-FEM-2017054

摘要： This paper considers multiple perspectives to explore the concept of high-speed railway (HSR), rationally abstract its value formation mechanism, and quantitatively measure its actual performance. This paper analyzes the governance potential of major countries in the high-speed railway value chain and studies the feasible ways and development strategies to enhance the high-speed railway governance in China. Findings of this paper are as follows. First, the government, as the early manager of high-speed railway governance, has given way to Siemens and other integrated enterprises. Second, the high-speed railway standard output has become the core competitiveness that embodies high-speed railway. Third, the global high-speed railway market presents a hierarchical high-speed railway governance model and changes to a modular approach to governance.

关键词： high-speed railway value communication value high-speed railway value governance governance path upgrade