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Investigation on the Mechanical Properties and Shape Memory Effect of Landing Buffer Structure Based on Ni Ti Alloy Printing

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Chinese Journal of Mechanical Engineering 2023年第4期36卷 415-424页

作者： Zhenglei Yu Renlong Xin Zezhou Xu Yining Zhu Xiaolong Zhang Shijie Hao Zhihui Zhang Ping Liang State Key Laboratory of Automotive Simulation and Control Jilin University Key Lab of Bionic Engineering Ministry of Education Jilin University Agriculture College Yanbian University State Key Laboratory of Heavy Oil Processing China University of Petroleum

With the deepening of human research on deep space exploration, our research on the soft landing methods of landers has gradually deepened. Adding a buffer and energy-absorbing structure to the leg structure of the lander has become an effective design solution. Based on the energy-absorbing structure of the leg of the interstellar lander, this paper studies the appearance characteristics of the predatory feet of the Odontodactylus scyllarus. The predatory feet of the Odontodactylus scyllarus can not only hit the prey highly when preying, but also can easily withstand the huge counter-impact force. The predatory feet structure of the Odontodactylus scyllarus, like a symmetrical cone, shows excellent rigidity and energy absorption capacity. Inspired by this discovery, we used SLM technology to design and manufacture two nickel-titanium samples, which respectively show high elasticity, shape memory, and get better energy absorption capacity. This research provides an effective way to design and manufacture highmechanical energy-absorbing buffer structures using bionic 3D printing technology and nickel-titanium alloys.

关键词： Bionic protective structure Odontodactylus scyllarus NiTi alloy 3D printing Numerical simulation Recoverability

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Energy Consumption Evaluation of an Electric Vehicle Under Different Driving Conditions 7

Energy Consumption Evaluation of an Electric Vehicle Under D...

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7th International Conference on Power and Energy Engineering, ICPEE 2023

作者： Sun, Long An, Xiaopan Geng, Peilin Geng, Yu Co. Ltd. Tianjin China Jilin University State Key Lab. of Automotive Simulation and Control Changchun China

ISBN: (纸本)9798350381146

The range of electric vehicles is a key concern of users, and there is still a certain gap between the current actual mileage and the prediction results, so it is of great significance to study whether the prediction method obtained under one standard working condition can be applied to other working conditions. This paper takes the data tested under different working conditions as the basic sample, divides the EV driving data into a number of kinematic segments, and proposes a method to evaluate the energy consumption of EVs by taking into account the relevant factors affecting the energy consumption of electric vehicles during the driving process. The results show that the independent energy consumption features obtained by the method proposed in this paper can characterize the energy consumption of electric vehicles under different driving conditions. Therefore, the method proposed in this paper provides a basis for a possible alternative mechanism for expanding the scope of EV energy consumption assessment. © 2023 IEEE.

关键词： Energy utilization

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Economic Comparison of Photovoltaic Energy Storage Systems for Different Load Profiles: A Case Study 3

Economic Comparison of Photovoltaic Energy Storage Systems f...

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3rd Power System and Green Energy Conference, PSGEC 2023

作者： Huang, Jianling Meng, Fanzhuo Jiao, Mingyue Institute Tsinghua University Sichuan Energy Internet Research Chengdu China Simulation and Control Jilin University State Key Lab. of Automotive Changchun China

ISBN: (纸本)9798350340099

Photovoltaic energy storage systems(PV ESS), which use energy storage to address the intermittent nature of PV, have been developed to utilize PV more efficiently to lower grid carbon emissions and to mitigate the peak load pressure of distribution network. Due to the significant temporal impact of photovoltaic, the operation of photovoltaic energy storage systems might highly related to the temporal characteristics of the given load profile;however, there is lack of research on the economic impact of the load profiles on the photovoltaic energy storage systems. To fill this gap, an economic comparison is conducted to evaluate the cost-benefit of photovoltaic energy storage systems for different load profiles from a perspective of large industrial consumers in this paper. A method for sizing the capacity of photovoltaic and energy storage based on a given load profile is proposed, and an economic evaluation model considering the cost-benefit of the investment and operation of photovoltaic and energy storage system, as well as the reduction of distribution transformer capacity is proposed. The proposed model is implemented to two typical load profiles in a case study, and the results show the importance of load shapes for matching PV energy storage systems. © 2023 IEEE.

关键词： Energy storage

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Technology developing state and trend about advanced driving assistance system and calculating chip 4

Technology developing state and trend about advanced driving...

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4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022

作者： Zhang, Wei Tang, Jiawei Ministry of Industry and Technology Equipment Development Center Bei Jing China Jilin University State Key Laboratory of Automotive Dynamic Simulation and Control Chang Chun China

ISBN: (纸本)9798350320008

Based on the investigation of the production and sales of complete vehicles equipped with driving assistance system (ADAS) in 2020, as well as the current situation analysis and prediction of the market penetration of the main functions of ADAS, this paper puts forward that 2022-2025 will be the window period for the rapid development of auxiliary driving vehicles. Through the investigation of the development of main safety technologies of ADAS and the overview of the current situation of auxiliary driving functions, this paper analyzes the reasons for the supply interruption of vehicle specification chip supply chain and the current situation of production capacity in recent one year, and puts forward that vehicle and parts enterprises, including government departments, should rethink the industrial chain layout of automobile chips in the next five years, so as to promote the commercialization of domestic auxiliary driving vehicles (equipped with ADAS) as soon as possible. © 2022 IEEE.

关键词： Supply chains

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Deep learning based velocity prediction with consideration of road structure 5

Deep learning based velocity prediction with consideration o...

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5th CAA International Conference on Vehicular control and Intelligence, CVCI 2021

作者： Fu, Pengyu Chu, Liang Hou, Zhuoran Xing, Jiaming Gao, Jianbing Guo, Chong Jilin University State Key Lab of Automotive Dynamic Simulation and Control Jilin China University of Leeds Institute of Transportation System Leeds United Kingdom

ISBN: (纸本)9781665408462

Speed prediction of roads is an important part of intelligent transportation system(ITS). Due to the complexity of the traffic environment, the speed of road is not only related to the historical speed of this road, but also has a strong relationship with the adjacent roads. In recent years, with the development and application of various data acquisition devices, a large amount of real-time traffic status information can be obtained. In this paper, we propose a road speed prediction method based on deep learning. Firstly, the method extracts the spatial correlation between the target road and the adjacent roads by convolutional neural networks(CNN). Secondly, long short-term memory(LSTM) is used to obtain the temporal correlation of the data and effectively capture the nonlinear features in the traffic speed sequence. Finally, a multilayer perceptron(MLP) is used to combine the spatio-temporal features. In this paper, the prediction accuracy of the model is evaluated on a real traffic dataset. Compared with traditional statistical methods and advanced deep learning methods, the speed prediction model in this paper obtains a more accurate prediction performance. © 2021 IEEE.

关键词： Speed

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Light Electric Truck Driving Cycle Construction and Verification Based on Short-trip and Markov Method in Anyang 5

Light Electric Truck Driving Cycle Construction and Verifica...

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5th International Conference on Traffic Engineering and Transportation System, ICTETS 2021

作者： Cao, DeBen Chang, ZhenZhong Yang, ZhenYao Wang, JiaWei Cao, Zhuo Li, ShiBo Henan Deli New Energy Vehicle Co. Ltd Henan471099 China State Key Laboratory of Automotive Dynamic Simulation and Control Jilin University China

ISBN: (纸本)9781510649910

This article first collects data of the driving cycles of light electric trucks in Anyang;then uses the short-trip and Markov method to generate energy consumption evaluation driving cycles for electric trucks;finally, mathematically features verification and actual tests on the chassis dynamometer verification is carried on to prove that the features mentioned above are consistent with the original driving data, thereby proving the rationality of the generated driving cycles. © 2021 SPIE

关键词： Energy utilization

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Energy Consumption Evaluation of an Electric Vehicle Under Different Driving Conditions

Energy Consumption Evaluation of an Electric Vehicle Under D...

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Power and Energy Engineering (ICPEE), International Conference on

作者： Long Sun Xiaopan An Peilin Geng Yu Geng CATARC Automotive Test Center (Tianjin) Co. Ltd. Tianjin China State Key Lab. of Automotive Simulation and Control Jilin University Changchun China

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Pomelo Peel-Inspired 3D-Printed Porous Structure for Efficient Absorption of Compressive Strain Energy

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Journal of Bionic Engineering 2022年第2期19卷 448-457页

作者： Baisong Yang Wenhui Chen Renlong Xin Xiaohong Zhou Di Tan Chuan Ding You Wu Liang Yin Chuyang Chen Shan Wang Zhenglei Yu Jonathan TPham Sheng Liu Yifeng Lei Longjian Xue School of Power and Mechanical Engineering The Institute of Technological SciencesWuhan UniversitySouth Donghu Road 8Wuhan 430072HubeiChina State Key Laboratory of Automotive Simulation and Control and Key Lab of Bionic Engineering Ministry of EducationJilin UniversityChangchun 130022China School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China Department of Chemical and Materials Engineering University of KentuckyLexingtonKY 40506USA

The porous structure in pomelo peel is believed to be responsible for the protection of its fruit from damage during the free falling from a *** quantitative understanding of the relationship between the deformation behavior and the porous structure could pave the way for the design of porous structures for efficient energy ***,a universal feature of pore distribution in pomelo peels along the radial direction is extracted from three varieties of pomelos,which shows strong correlation to the deformation behavior of the peels under *** by the porous design found in pomelo peels,porous polyether-ether-ketone(PEEK)cube is additively manufactured and possesses the highest ability to absorb energy during compression as compared to the non-pomelo-inspired geometries,which is further confirmed by the finite element *** nature-optimized porous structure revealed here could guide the design of lightweight and high-energy-dissipating materials/devices.

关键词： Bionic design Pomelo peel Porous structure 3D printing Energy absorption

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Feasibility of Local Trajectory Planning for Level-2+ Semi-autonomous Driving without Absolute Localization

arXiv

引用

arXiv 2023年

作者： Zhu, Sheng Wang, Jiawei Yang, Yu Aksun-Guvenc, Bilin The Automated Driving Lab Ohio State University OH43212 United States The State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China

Autonomous driving has long grappled with the need for precise absolute localization, making full autonomy elusive and raising the capital entry barriers for startups. This study delves into the feasibility of local trajectory planning for level-2+ (L2+) semi-autonomous vehicles without the dependence on accurate absolute localization. Instead, we emphasize the estimation of the pose change between consecutive planning frames from motion sensors and integration of relative locations of traffic objects to the local planning problem under the ego car’s local coordinate system, therefore eliminating the need for an absolute localization. Without the availability of absolute localization for correction, the measurement errors of speed and yaw rate greatly affect the estimation accuracy of the relative pose change between frames. We proved that the feasibility/stability of the continuous planning problem under such motion sensor errors can be guaranteed at certain defined conditions. This was achieved by formulating it as a Lyapunov-stability analysis problem. Moreover, a simulation pipeline was developed to further validate the proposed local planning method. simulations were conducted at two traffic scenes with different error settings for speed and yaw rate measurements. The results substantiate the proposed framework’s functionality even under relatively inferior sensor errors. We also experiment the stability limits of the planned results under abnormally larger motion sensor errors. The results provide a good match to the previous theoretical analysis. Our findings suggested that precise absolute localization may not be the sole path to achieving reliable trajectory planning, eliminating the necessity for high-accuracy dual-antenna GPS as well as the high-fidelity maps for SLAM localization. © 2023, CC BY.

关键词： Errors

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Spatial-temporal Traffic Congestion Prediction Based on Attention Mechanism 5

Spatial-temporal Traffic Congestion Prediction Based on Atte...

引用

5th CAA International Conference on Vehicular control and Intelligence, CVCI 2021

作者： Pu, Shilin Chu, Liang Zhang, Yuanjian Hou, Zhuoran Gao, Jianbing Guo, Chong Jilin University State Key Lab of Automotive Dynamic Simulation and Control Jilin China Queen's University 1 W-Tech Center Belfast United Kingdom University of Leeds Institute of Transportation System Leeds United Kingdom

ISBN: (纸本)9781665408462

Accurate traffic flow prediction is of great significance for intelligent transportation system in intelligent city. For the problem of traffic congestion, accurate prediction of traffic congestion is conducive to rational urban planning and efficient energy utilization. There are some problems in data-driven traffic flow congestion prediction, such as inaccurate prediction caused by complex spatiotemporal correlation characteristics. Facing this problem, this paper proposes a spatiotemporal attention combination network (STACN) based on attention mechanism for traffic congestion prediction. Firstly, this paper uses the conventional attention mechanism to capture the multi-dimensional time series correlation of the target road. Secondly, this paper uses the graph attention mechanism to capture the spatial dependence of all neighborhoods of the target road in the graph. In this paper, the prediction accuracy and consistency of congestion level are evaluated by using the actual traffic data set, and the experimental results verify the effectiveness of the model. © 2021 IEEE.

关键词： Traffic congestion

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