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Chinese Automation Congress (CAC)

作者： Haotian Zhu Hongmao Qin Yougang Bian Ning He State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle Engineering Hunan University Changsha China National Engineering Research Centre for High Efficiency Grinding College of Mechanical and Vehicle Engineering Hunan University Changsha Hunan China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

The cooperation among multiple connected vehicles (CVs) enhances the swarm intelligence of the transportation systems, significantly improving their overall performance. To optimize fuel consumption in vehicle fleet movements, this study proposes a fuel economy optimization approach for a fleeting vehicle swarm using improved distributed model predictive control (DMPC). In the DMPC framework, each CV shares its predicted trajectory within the predictive horizon with its neighboring CVs at each control loop. Using both the own and the neighbors' predicted trajectories, each CV solves an open-loop control optimization problem for fleet formation. In this process, a buffer function is incorporated into the cost function in DMPC to prevent frequent spacing adjustments caused by minor errors, thereby reducing fuel consumption. Simulation results demonstrate enhanced energy efficiency of CV fleets.

关键词： Connected vehicles Simulation Transportation Packet loss Fuel economy Cost function Numerical simulation Trajectory Particle swarm optimization Predictive control

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Study on the Driving Style Adaptive vehicle Longitudinal Control Strategy

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1107-1115页

作者： Jing Huang Yimin Chen Xiaoyan Peng Lin Hu Dongpu Cao the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan UniversityChangsha 410082China the Department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooON N2L3G1Canada the College of Mechanical&Vehicle Engineering Hunan UniversityChangsha 410082China the School of Automotive and Mechanical Engineering and Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering VehicleChangsha University of Science and TechnologyChangsha 410114China

This paper presents a fusion control strategy of adaptive cruise control(ACC) and collision avoidance(CA),which takes into account a driver’s behavioral style. First, a questionnaire survey was performed to identify driver type, and the corresponding driving behavioral data were collected via driving simulator experiments, which served as the template data for the online identification of driver type. Then, the driveradaptive ACC/CA fusion control strategy was designed, and its effect was verified by virtual experiments. The results indicate that the proposed control strategy could achieve the fusion control of ACC and CA successfully and improve driver adaptability and comfort.

关键词： Adaptive cruise control collision avoidance driving simulator experiment driving style fusion control

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Asymmetrical regulation of thermal transport in BAs/MoSSe van der Waals heterostructures with applied electric field

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Physical Review B 2024年第20期109卷 205408-205408页

作者： Donghai Wei E Zhou Jinyuan Xu Ailing Chen Hanpeng Xie Fuqing Duan Huimin Wang Zhenzhen Qin Guangzhao Qin State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle Engineering Hunan University Changsha 410082 People's Republic of China Hunan Key Laboratory for Micro-Nano Energy Materials & Device and School of Physics and Optoelectronics Xiangtan University Xiangtan 411105 Hunan China Key Laboratory of Materials Physics Ministry of Education School of Physics Zhengzhou University Zhengzhou 450001 China

As a nondestructive regulation method, applying external electric field to regulate thermal transport has become one of the most effective reversible strategies. However, to date, using external electric fields to regulate thermal transport in van der Waals (vdW) heterostructures has been rarely reported, despite the great significance to engineering heat-transfer applications in electronics. Herein, based on the state-of-the-art first-principles calculations, we investigate the external electric field engineered thermal transport in BAs/MoSSe vdW twins heterostructures (i.e., BAs/MoSSe-I and BAs/MoSSe-II), which are constructed from monolayer BAs and Janus MoSSe. The thermal conductivity of different stacked BAs/MoSSe shows similar response to positive electric field. However, with negative electric field applied, the thermal conductivity of BAs/MoSSe-II is 22.4 times higher than that of BAs/MoSSe-I under the strength of −0.2VÅ−1. Detailed analysis reveals that the renormalization of phonons driven by the electric field mainly affects the phonon anharmonicity, which is induced by the electric field enhanced or weakened interlayer interaction, finally leading to the different response of the thermal conductivity for the two stacked BAs/MoSSe. The highly effective regulation of thermal transport in vdW heterostructures driven by the external electric fields as shown in this study is valuable for physical and engineering applications in electronics, thermoelectric, and thermal management.

关键词： First-principles calculations Lattice thermal conductivity Thermal conductivity 2-dimensional systems Honeycomb lattice Surfaces

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Cyber-Physical-Level Safe Control of Intelligent and Connected vehicles With Unreliable Communication and Actuator Faults

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent vehicles 2024年 1-14页

作者： Wang, Lu Qin, Hongmao Hang, Peng Chen, Chaoyi Hu, Manjiang Bian, Yougang State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle Engineering Hunan University Changsha China Department of Traffic Engineering Tongji University Shanghai China School of Vehicle and Mobility Tsinghua University Beijing China

The utilization of vehicle-to-vehicle (V2V) communication techniques within a vehicle platooning system (VPS) significantly enhances traffic safety and efficiency by exchanging information. However, packet loss can cause V2V communication to be unreliable, leading to the switching of communication topology and threatening the safety of the VPS. Furthermore, in practical scenarios, intelligent and connected vehicles (ICVs) inevitably suffer inherent unknown actuator faults that impose potential safety risks on a VPS. In this work, we propose a novel cyber-physical-level safe control framework that consists of an upper-level cyber plane and a lower-level physical plane. Within the cyber plane, we use a continuous-time Markov chain to model switching communication topology and design a fully distributed adaptive observer for each following vehicle to obtain the leader's state. Based on adaptive fault-tolerant controllers in the physical plane, each ICV can track its observer state and compensate for the influences of unknown actuator faults. Moreover, several sufficient conditions are derived to guarantee the mean square stability of the VPS and achieve the desired control objectives. Finally, simulation results are provided to verify the effectiveness of our proposed control method and to demonstrate its competitiveness. IEEE

关键词： vehicles

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Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier and Dynamic Gaussian Smoothing Supervision

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent vehicles 2024年 1-14页

作者： Duan, Cong Liu, Zixuan Xia, Jiahao Zhang, Minghai Liao, Jiacai Cao, Libo State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha China Faculty of Engineering and IT University of Technology Sydney Australia College of Automotive and Mechanical Engineering Changsha China

Deep neural networks enable real-time monitoring of in-vehicle drivers, facilitating the timely prediction of distractions, fatigue, and potential hazards. This technology is now integral to intelligent transportation systems. Recent research has exposed unreliable cross-dataset driver behavior recognition due to a limited number of data samples and background noise. In this paper, we propose a Score-Softmax classifier, which reduces the model overconfidence by enhancing category independence. Imitating the human scoring process, we designed a two-dimensional dynamic supervisory matrix consisting of one-dimensional Gaussian-smoothed labels. The dynamic loss descent direction and Gaussian smoothing increase the uncertainty of training to prevent the model from falling into noise traps. Furthermore, we introduce a simple and convenient multi-channel information fusion method;it addresses the fusion issue among arbitrary Score-Softmax classification heads. We conducted cross-dataset experiments using the SFDDD, AUCDD, and the 100-Driver datasets, demonstrating that Score-Softmax improves cross-dataset performance without modifying the model architecture. The experiments indicate that the Score-Softmax classifier reduces the interference of background noise, enhancing the robustness of the model. It increases the cross-dataset accuracy by 21.34%, 11.89%, and 18.77% on the three datasets, respectively. The code is publicly available at https://***/congduan-HNU/SSoftmax. IEEE

关键词： Deep neural networks

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design,Characterization and Optimization of Multi-directional Bending Pneumatic Artificial Muscles

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Journal of Bionic engineering 2021年第6期18卷 1358-1368页

作者： Wei Xiao Dean Hu Weixiong Chen Gang Yang Xu Han State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle EngineeringHunan UniversityChangsha410082People’s Republic of China Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment Ministry of EducationHunan UniversityChangsha410082People’s Republic of China School of Mechanical Engineering Hebei University of TechnologyTianjin300401People’s Republic of China

Bending Pneumatic Artificial Muscles(PAMs)are particularly attractive and extensively applied to the soft grasper,snake-like robot,*** extend the application of PAMs,we fabricate a Multi-directional Bending Pneumatic Artificial Muscle(MBPAM)that can bend in eight directions by changing the pressurized *** maximum bending angle and output force are 151°and 0.643 N under the pressure of 100 kPa,***,the Finite Element Model(FEM)is established to further investigate the *** experimental and numerical results demonstrate the nonlinear relationship between the pressure and the bending angle and output ***,the effects of parameters on the performance are studied with the validated *** results reveal that the amplitude of waves and the thickness of the base layer can be ***,multi-objective optimization is performed to improve the bending performance of the *** optimization results indicate that the output force can be increased by 7.8%with the identical bending angle of the initial design,while the bending angle can be improved by 8.6%with the same output ***,the grasp tests demonstrate the grip capability of the soft four-finger gripper and display the application prospect of the MBPAM in soft robots.

关键词： Pneumatic artificial muscle Multi-directional bending Soft robots Parameter optimization

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Optimisation study on the drain mode of cycloidal rotor oil pump

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International Journal of Industrial and Systems engineering 2022年第1期42卷 118-129页

作者： Wang, Wen Liu, Xiang Cai, Hao He, Shanghong Li, Yuelin Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Changsha University of Science and Technology Changsha410114 China Hunan Oil Pump Co. Ltd. Hengyang421400 China

In order to optimise the internal flow field pulsation characteristics of a cycloidal rotor oil pump, the internal oil drain structure of the pressure limiting valve was changed to an external oil drain structure. The numerical simulation method is used to calculate the internal flow field of the cycloidal oil pump with different drain structures. The outlet pressure pulsation, pressure pulsation at the pressure limiting valve, displacement of the pressure limiting valve spool and cavitation are compared and analysed. The results show that, relative to internal drain structure, the pressure amplitude of the external drain structure at the pressure limiting valve is reduced by 30%, the pressure amplitude at the outlet is reduced by 25%, and the cavitation phenomenon at the interface between the pressure limiting valve and the inlet cavity is eliminated. The bench test is carried out to verify the sample pump, and the test results are in good agreement with the simulation results, with the volume efficiency improved by up to 4%. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Flow fields

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Eco-Driving Optimization Method for Heterogeneous CAVs at an Isolated Unsignalized Intersection

Eco-Driving Optimization Method for Heterogeneous CAVs at an...

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2023 IEEE International Conference on Unmanned Systems, ICUS 2023

作者： Cai, Jianjun Liu, Yonggang Que, Wenwei Zhang, Yuanjian Chen, Zheng Chongqing University State Key Laboratory of Mechanical Transmissions Chongqing China Hunan University State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Changsha China Loughborough University Department of Aeronautical and Automotive Engineering Loughborough United Kingdom Kunming University of Science and Technology Faculty of Transportation Engineering Kunming China

ISBN: (纸本)9798350316308

This paper presents an eco-driving optimization method for heterogeneous connected autonomous vehicles (CAVs) of mixed electric vehicles (EVs) and traditional fuel vehicles (FVs) at an isolated unsignalized intersection. An optimization method is designed to compute the arrival time of each vehicle in the heterogeneous vehicle fleet. Furthermore, we use quadratic programming to optimize the speed trajectory for EVs and the Gauss Pseudospectral method for FVs. Then, an eco-driving optimization method based on a rolling optimization framework that combines the time schedule algorithm and trajectory optimization method is proposed. We make a comparative study with the dynamic programming algorithm and simulation results show that our method outperforms the baselines, where the average energy consumption of EVs and FVs has been reduced by 0.09% and 0.14%, respectively. © 2023 IEEE.

关键词： Energy utilization

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Mechanism Analysis of Drivers’ Risk Response Difficulties for Intelligent Driving safety design and Development: Results from In-Depth vehicle-to-Powered Two-Wheeler Crash Data in China

SSRN

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SSRN 2024年

作者： Wang, Xinghua Hu, Lin Wang, Fang Peng, Yong Wu, Xianhui Xiang, Guoliang School of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha410114 China Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Changsha University of Science and Technology Changsha410114 China The State Key Laboratory of Heavy-duty and Express High-power Electric Locomotive Central South University Changsha41007 China

The intelligent vehicles are considered to be potential in avoiding traffic crashes caused by human errors. Reliable intelligent driving in China requires thorough understanding of complex drivers’ risk response difficulties in Chinese background traffic. Based on actual crashes between a vehicle and a powered two-wheeler (PTW) in China, this study analyzed the mechanism of drivers’ risk response difficulties to theoretically support the intelligent driving safety design and development. 113 crashes recorded in six typical vehicle-to-PTW risk scenarios were selected from the China In-depth mobility safety Study - Traffic Accident (CIMSS-TA) database. The psychological failures and behavioral errors of participants in each risk scenario were analyzed through descriptive statistics. The dominant factors contributory to drivers’ risk response difficulties and their interdependence were explored through 4-item association rule mining (ARM). Furthermore, the characteristics of pre-crash kinematics and the shortcomings of a current approach in identifying potential vehicle-to-PTW crash risks were also discussed based on actual motion data in global and vehicle coordinate systems. The results showed that there was significant heterogeneity in the difficulties encountered by drivers when dealing with various traffic risks. For instance, the information reception failures of drivers (IRF-D) accompanied by the information processing failures of riders (IPF-R) was the most important joint psychological failure pattern in risk scenario 1 and 3, and these crashes were mainly attributed to drivers who failed to yield to straight-going traffic. A typical phenomenon that both participants suffered from information access failures was common in risk scenario 4 and 5, and the crash responsibilities were mainly blamed on these riders running red lights/violating the priority to the right and travelling against the traffic, respectively. Each risk scenario varied dramatically in pre-cr

关键词： Errors

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The effect of creep on the lubrication property of rubber-plastic composite water-lubricated bearings 7

The effect of creep on the lubrication property of rubber-pl...

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7th IEEE International Conference on Transportation Information and safety, ICTIS 2023

作者： Guo, Xu Zhou, Xincong Luo, Bin Zou, Qun Wang, Yanhong Huang, Jian Wuhan University of Technology School of Transportation and Logistics Engineering Wuhan China Wuhan University of Technology State Key Laboratory of Maritime Technology and Safety Wuhan China China Ship Development and Design Center Wuha China Wuhan University of Technology School of Naval Architecture Ocean and Energy Power Engineering Wuhan China Wuhan University of Technology Reliability Engineering Institute Wuhan China

ISBN: (纸本)9798350308532

The deformation of water-lubricated bearings liner has a direct effect on lubrication properties. However, creep deformation is a key factor that has often been neglected in water-lubricated bearing design, manufacture, and operation. This paper investigated the creep deformation of rubber-plastic composites with different thicknesses. The creep effect on lubrication performance was also discussed. Creep tests were conducted using an electronic universal tensile tester. Based on the test results, the creep constitutive equation for rubber-plastic composites was determined. The lubrication model based on the creep constitutive equation was established to evaluate the water film pressure and thickness. The results showed that creep reduces the water film pressure and thickness of the water-lubricated stern bearing, and results in the loading region contraction. The shape contraction position of the water film shape in the outlet area shifts to the central position, and the depth of the contraction depression decreases. By reducing the thickness of the rubber-plastic composite, the water film pressure and thickness are increased. The shape of the water film in the outlet area shrinks and the position gradually shifts away from the center. © 2023 IEEE.

关键词： Rubber

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