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International Journal of Heavy Vehicle Systems最新文献

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Research on an all-axle active steering control strategy of articulated vehicles based on feedforward-feedback control 基于前馈-反馈控制的铰接车辆全轴主动转向控制策略研究
4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.10060077
Zhang Liwei, Song Zhongchao, Zhang Menglei, Jiao Yanbin
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引用次数: 0
Parametric study of wheel flats effects on dynamic forces and derailment coefficient in turnouts 车轮扁面对道岔动力和脱轨系数影响的参数化研究
4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.10060181
Ali Soleimani, Mehdi Salehi, Sayed Hasan Mirtalaie, Mohammad Saadat, Sajjad Sattari
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引用次数: 0
Detailed review on multiple sources off grid charging station of electric vehicles centred on converters 以变流器为中心的电动汽车多源离网充电站的详细研究
4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.132999
Pankaj Badgaiyan, Sunil Kumar Gupta, Mukesh Pandey
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引用次数: 0
Deep learning-based forecasting of port cargo throughput using PCA and error correction multivariate LSTM 基于PCA和误差校正多元LSTM的港口货物吞吐量深度学习预测
4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.10059804
Sihao Wei, Wei Deng
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引用次数: 0
Anti-rollover control of heavy-duty dump truck with distributed model predictive control 基于分布式模型预测控制的重型自卸车防侧翻控制
IF 0.6 4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.10057709
Hao Yu, Ming mao Hu, Zi wen Liao, Zhongcheng Fu, Aihong Gong
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引用次数: 0
An integrated approach for scheduling electric vehicles and distributed generators in a smart distribution system 智能配电系统中电动汽车与分布式发电机的综合调度方法
IF 0.6 4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.132993
V. Suresh, S. Sudabattula, N. Prabaharan, R. Sitharthan, M. Rajesh
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引用次数: 0
Strength analysis of energy absorbing protective structure for excavator 挖掘机吸能防护结构强度分析
IF 0.6 4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.131982
Yong-Jea Park, Kwang-Hee Lee, Chul-Hee Lee
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引用次数: 0
Deep learning based neuro-PI for yaw disturbance rejection control: hardware-in-the-loop simulation using scaled armoured vehicle platform 基于深度学习的神经- pi偏航干扰抑制控制:基于装甲车辆平台的硬件在环仿真
4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.133364
Vimal Rau Aparow, Khisbullah Hudha, Hishamuddin Jamaluddin, Zulkiffli Abd Kadir
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引用次数: 0
Robust and optimal design of railway vehicle system for derailment risk using efficient global optimisation method 基于高效全局优化方法的轨道车辆脱轨系统鲁棒优化设计
4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.134704
Yung Chang Cheng, Cheng Kang Lee, Chia Ling Hsieh
This paper presents an innovative optimisation procedure, combining uniform design (UD) and the efficient global optimisation (EGO) algorithm, to generate a set of robust suspension parameters in a railway vehicle model. Nonlinear dynamic analysis of a 31 degree-of-freedom (DOF) railway vehicle model was determined using Kalker's linear theory and heuristic nonlinear creep criterion. To increase running safety, optimisation design for suspension parameters is introduced to make the performance more robust and reduce the sensitivity to noise. Considering the noise factors, vehicle speed and rail irregularity, the dynamic response and derailment quotient are obtained by the Runge-Kutta method. By applying uniform design (UD), Kriging interpolation and efficient global optimisation (EGO) algorithm, the best signal-to-noise ratio of the derailment quotient is increased from 12.05 dB to 31.3 dB, or 160%. The numerical results indicate that the optimal and robust design of suspension parameters has been determined successfully by the novel optimisation process.
本文提出了一种创新的优化程序,结合均匀设计(UD)和高效全局优化(EGO)算法,生成一组鲁棒的轨道车辆悬架参数。利用Kalker线性理论和启发式非线性蠕变准则对31自由度轨道车辆模型进行了非线性动力学分析。为了提高行驶安全性,引入了悬架参数的优化设计,使其性能更加稳健,降低了对噪声的敏感性。考虑噪声因素、车速因素和轨道不平整度因素,采用龙格-库塔法得到了列车的动力响应和脱轨商。采用均匀设计(UD)、Kriging插值和高效全局优化(EGO)算法,将脱轨商的最佳信噪比从12.05 dB提高到31.3 dB,达到160%。数值结果表明,该优化过程成功地确定了悬架参数的最优鲁棒设计。
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引用次数: 0
Effects of train speed, track irregularities, and wheel flat on wheel-rail dynamic forces 列车速度、轨道不规则度和车轮平整度对轮轨动力的影响
4区 工程技术 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijhvs.2023.10060182
Ali Soleimani, Mehdi Salehi, Sayed Hasan Mirtalaie, Mohammad Saadat, Sajjad Sattari
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引用次数: 0
期刊
International Journal of Heavy Vehicle Systems
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