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9th International Symposium on system Security, Safety, and Reliability, ISSSR 2023

作者： Man, Zhiyi Wang, Shaoping Zhang, Chao Zhu, Yun Beihang University School of Automation Science and Electrical Engineering Beijing100191 China AECC Aero-Engine Control System Institute Jiangsu Wuxi214100 China

ISBN: (纸本)9798350302479

In the field of electric vehicles, the safety of power lithium-ion batteries is a socially important issue, and the study of thermal runaway of lithium batteries is now gradually becoming more in-depth. In this paper, the output parameters are up-dimensioned. Using a global sensitivity analysis method based on the Moms screening method, the influence of 11 parameters such as volume of the cell(vBt), mass of the cell(mBt) and electrolyte concentration (W_e) on the thermal runaway process of Li-ion batteries is analyzed, and the variation of 10 variables such as temperature(T) and carbon dioxide gas (CO2) produced in the thermal runaway side reaction heat generation process and chemical reaction gas generation process over time is investigated under the influence of the parameter factors. In the study, the sensitivity of the parameters over a time interval is investigated in the rising dimension of the time domain. The results show that the overall effect of the parameters on the thermal process;for the output variables of the thermal process, they are mainly affected by the mass of the cell (m_Bt), the thickness of the SEI film (t_sei) and the specific heat capacity of the cell(Cp_Bt), while the chemical process is not significantly affected by the different parameters;among all the parameters, the volume (V_Bt) of the cell interacts most strongly with the other parameters for all the output variables. Finally, the results of the sensitivity analysis of the thermal runaway side reactions of the battery will be applied to the subsequent 3D simulation study. © 2023 IEEE.

关键词： Lithium-ion batteries

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Design and Optimization of Lattice Infilled Landing Impact Absorbing Structure for a Reentry Capsule 12

Design and Optimization of Lattice Infilled Landing Impact A...

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12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2022

作者： Wang, Gang Ma, Shengpeng Wang, Chunjie Ma, Bin Zeng, Fuming School of Mechanical Engineering and Automation Beihang University Beijing China China Beijing Institute of Spacecraft System Engineering Beijing China

ISBN: (纸本)9781839538360

The reentry capsule for returning samples from extraterrestrial celestial body usually is of small size and compact layout, while at the same time it must be able to withstand the heavy impact during landing. Thus, the design of the lading impact absorbing structure is very challenging. This study proposes employing the truss lattice infilled sandwich structures to achieve the goal of both lightweight design and effective landing impact absorbing. Firstly, the homogenized equivalent mechanical properties of the BCC and BCCZ lattice structures are analyzed and compared. Then, sizing optimization is performed for the lattice infilled impact absorbing structure based on the design of experiment (DOE) and response surface methodology (RSM). Results indicate that when the incline angles of the bars in the lattice structure are small, the BCCZ lattice infilled structure can have better comprehensive loading-bearing performance, i.e. it can achieve better resistance to landing impact deformation give the same structural weight. © 2022 IEEE.

关键词： Structural optimization

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Investigating Balance Responsible Party Mismanagement through Comprehensive Schedule Analysis: Day-Ahead to Day-After

Investigating Balance Responsible Party Mismanagement throug...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Yadav, Devanand Majumder, Patrali Götze, Jens Gaber, Marcel Richter, Marc Felber, René Hauer, Ines Clausthal University of Technology Institute of Electrical Power Engineering and Energy System Clausthal-Zellerfeld Germany Fraunhofer Institute for Factory Operation and Automation Iff Energy Systems and Infrastructure Magdeburg Germany 50Hertz Transmission GmbH Germany

ISBN: (纸本)9789531842976

Effective balancing group management is vital for ensuring a stable electricity supply. However, significant deviations often occur without clear explanations, challenging grid reliability. This study introduces a comprehensive methodology that integrates correlation analysis, feature-based analysis, and linear regression to examine forecast discrepancies across day-ahead, intraday, and day-after timeframes. Utilizing daily and monthly Key Performance Indicators (KPIs), we analyzed over two million schedule notifications from 928 balance responsible parties within the 50Hertz Transmission system Operator (TSO) region. Our rigorously validated approach provides a sophisticated top-down evaluation of management behaviors, identifying underlying patterns and anomalies with enhanced accuracy. Aligning with the latest advancements in data analytics, this methodology aims to improve energy balance management by effectively detecting anomalies in daily forecast schedules for both production and consumption. © 2024 IEEE.

关键词： Correlation Analysis Energy Market Analytics Feature-Based Analysis Forecasting Discrepancies Manipulation in energy Markets

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FEASIBILITY AND SAFETY ANALYSIS OF SOLID-STATE REACTOR FOR LUNAR SURFACE EXPLORATION 31

FEASIBILITY AND SAFETY ANALYSIS OF SOLID-STATE REACTOR FOR L...

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2024 31st International Conference on Nuclear engineering, ICONE 2024

作者： Yugao, Ma Jiahao, Lu Yue, Liu Suyi, Zhang Muhao, Zhang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China

ISBN: (纸本)9780791888247

The Fission Surface Power system is a feasible solution for future lunar surface exploration energy supply, with the solid-state reactor being considered a primary candidate. This paper presents a modeling and analysis of a solid-state reactor based on publicly available information. Using the reactor Monte Carlo program RMC and the commercial finite element analysis software ANSYS, the reactor is modeled and analyzed. The power distribution of the active zone and reactivity feedback coefficients of the entire core are obtained. The result indicates a negative reactivity feedback coefficient, confirming this reactor design's inherent safety. Furthermore, a two-dimensional reactor model is constructed to obtain the temperature distribution during full-power operation, and non-passive residual heat removal analysis and radiative heat loss failure analysis are performed. At the failure condition of all heat pipes, the maximum core temperature is 742 K, which is below the reactor safety temperature limit, confirming the residual heat removal capability of the solid-state reactor in the loss of heat sink. Additionally, the self-developed transient reactor system analysis program is used for thermal safety analysis. The thermal parameters and heat transfer limits of high-temperature alkali metal heat pipes within the reactor are obtained, with the ratio of heat transfer limit to the heat load of 2.05 demonstrating sufficient safety margins of the heat pipe operation in the reactor. The results manifest that the core is satisfied with the existing criteria for anticipated operating occurrences of solid-state reactors, verifying the excellent safety performance of this reactor design. Based on the analysis and calculations in this study, it is concluded that this reactor design exhibits superior safety performance, which is attributed to the neutron physics design concept of the intermediate neutron spectrum and the thermal-hydraulic design concept of non-passive residual h

关键词： Lunar surface analysis

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Learning to Branch in Combinatorial Optimization With Graph Pointer Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 157-169页

作者： Rui Wang Zhiming Zhou Kaiwen Li Tao Zhang Ling Wang Xin Xu Xiangke Liao IEEE the Xiangjiang Laboratory and the College of Systems Engineering National University of Defense TechnologyChangsha 410073China the Institute of Automation Chinese Academy of SciencesBeijing 100190China the College of Systems Engineering National University of Defense TechnologyChangsha 410073 the Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology Changsha 410073China the Department of Automation Tsinghua UniversityBeijing 100084China the College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410073China the College of Computer Science and Technology National University of Defense TechnologyChangsha 410073China

Traditional expert-designed branching rules in branch-and-bound(B&B) are static, often failing to adapt to diverse and evolving problem instances. Crafting these rules is labor-intensive, and may not scale well with complex *** the frequent need to solve varied combinatorial optimization problems, leveraging statistical learning to auto-tune B&B algorithms for specific problem classes becomes attractive. This paper proposes a graph pointer network model to learn the branch rules. Graph features, global features and historical features are designated to represent the solver state. The graph neural network processes graph features, while the pointer mechanism assimilates the global and historical features to finally determine the variable on which to branch. The model is trained to imitate the expert strong branching rule by a tailored top-k Kullback-Leibler divergence loss function. Experiments on a series of benchmark problems demonstrate that the proposed approach significantly outperforms the widely used expert-designed branching rules. It also outperforms state-of-the-art machine-learning-based branch-and-bound methods in terms of solving speed and search tree size on all the test instances. In addition, the model can generalize to unseen instances and scale to larger instances.

关键词： Branch-and-bound(B&B) combinatorial optimization deep learning graph neural network imitation learning

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Output Linearization of Single-Input Single-Output Fuzzy system to Improve Accuracy and Performance

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Computers, Materials & Continua 2023年第5期75卷 2413-2427页

作者： Salah-ud-din Khokhar QinKe Peng Muhammad Yasir Noor Department of Automation Science and Technology(System Engineering Institute) School of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’anShaanxi710049China Department of Computer Science G.C.UniversityLahore54000PunjabPakistan Department of Physics(Electronics) G.C.UniversityLahore54000PunjabPakistan

For fuzzy systems to be implemented effectively,the fuzzy membership function(MF)is essential.A fuzzy system(FS)that implements precise input and output MFs is presented to enhance the performance and accuracy of single-input single-output(SISO)FSs and introduce the most applicable input and output MFs protocol to linearize the fuzzy system’s *** a variety of non-linear techniques,a SISO FS is *** results of FS experiments conducted in comparable conditions are then *** simulated results and the results of the experimental setup agree fairly *** findings of the suggested model demonstrate that the relative error is abated to a sufficient range(≤±10%)and that the mean absolute percentage error(MPAE)is reduced by around 66.2%.The proposed strategy to reduceMAPE using an FS improves the system’s performance and control *** using the best input and output MFs protocol,the energy and financial efficiency of every SISO FS can be improved with very little tuning of *** proposed fuzzy system performed far better than other modern days approaches available in the literature.

关键词： Mean absolute percentage error membership functions relative error fuzzy system

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Design and Analysis of Underactuated Robotic Hands for Spacecraft Surface Attachment

Design and Analysis of Underactuated Robotic Hands for Space...

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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022

作者： Luo, Yang Wang, Chang Huang, Longfei Ma, Jingya Xu, Kun Ding, Xilun Robotics Institute School of Mechanical Engineering and Automation Beihang University Beijing100191 China Institute of Spacecraft System Engineering CAST Beijing100094 China

ISBN: (纸本)9781665481090

Amid rapid development of space technology, it is necessary to carry out relevant operations in space to ensure long and stable in-orbit operation of spacecraft in complex space environment. The end effector of the space manipulator is the main tool which completes the operational targets, but at present, the end effector can only deal with cooperative targets rather than non-cooperative targets. In order to solve the related problems, this paper investigates the bio-inspired dry adhesion, mechanical attachment devices and underactuated robotic hands at home and abroad, analyzes the attachment principle and application scenarios. Based on the studies, a cable-driven two-finger underactuated robotic hand with mixed attachment mode is designed. In this paper, the flexible joints of manipulators are calculated theoretically and simulated, the static characteristics analyzed, and the integrated manufacturing of joints and knuckles is achieved. The layout of flexible substrate and adhesive pad is reasonably designed to enlarge the contact area between the adhesive pad and the target object. A gripping mechanism with certain flexibility is developed to smoothly grasp objects of different shapes. According to the characteristics of different surfaces, targeted attachment control schemes are designed, a principle prototype built, and the attachment ability of the prototype to various surfaces is verified through tests. © 2022 IEEE.

关键词： End effectors

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Two-Stage Robust Optimization Under Decision Dependent Uncertainty

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1295-1306页

作者： Yunfan Zhang Feng Liu Yifan Su Yue Chen Zhaojian Wang João P.S.Catalão State Key Laboratory of Power System and Generation Equipment the Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical and Automation Engineering the Chinese University of Hong KongHong Kong SARChina Ministry of Education Key Laboratory of System Control and Information Processing the Department of AutomationShanghai Jiao Tong Universityand also with Shanghai Engineering Research Center of Intelligent Control and ManagementShanghai 200240China Faculty of Engineering of the University of Porto and Institute for Systems and Computer Engineering Technology and Science(INESC TEC)Porto 4200-465Portugal IEEE

In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.

关键词： Benders decomposition decision-dependent uncertainty endogenous uncertainty robust optimization(RO)

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Ground Contact Parameter Estimation Guided Gait Planning for Hexapod Robots

Ground Contact Parameter Estimation Guided Gait Planning for...

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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022

作者： Dong, Guiyu Qin, Ripeng Han, Liangliang Chen, Jiawei Xu, Kun Ding, Xilun Robotics Institute School of Mechanical Engineering and Automation Beihang University Beijing100191 China Institute of Aerospace System Engineering Shanghai Shanghai201108 China

ISBN: (纸本)9781665481090

Environment sensing for legged robots can improve their mobility performance. A foot-ground contact model can be used to evaluate the properties of the robot's contact with the environment. A contact parameter estimator based on artificial neural networks was developed to guide the gait planning of a hexapod robot so that it can achieve higher mobility efficiency. This contact parameter estimator can use acceleration, velocity, and contact force data as inputs and output contact parameters. The estimator avoided using deformations as input which are difficult to measure. Meanwhile, the robot's cost of transport with different contact parameters is tested and recorded. Accordingly, the hexapod robot was guided to choose a better gait shape between cycloid and rectangular. The simulation proved that changes in the gait shape according to the contact parameters can reduce the hexapod's cost of transport. © 2022 IEEE.

关键词： Parameter estimation

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Study on the Modelling Method Based on Testing Data of the Frequency Control Electromechanical Transient Model of Doubly-fed Wind Turbine 12

Study on the Modelling Method Based on Testing Data of the F...

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12th International Conference on Renewable Power Generation, RPG 2023

作者： Wang, Zehui Peng, Xiaotao He, Jing Li, Shaolin Miao, Fenglin Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy School of Electrical Engineering and Automation Wuhan University China School of Electrical Engineering and Automation Wuhan University China China Electric Power Research Institute Haidian District Beijing China

It is important to study the electromechanical transient model of wind turbine participating in frequency regulation and its modelling method based on testing data to improve the analysis results of frequency regulation response characteristics of wind power grid-connected system. Based on this, this paper investigates the working principle of wind turbine frequency response in PSASP software, considers the principle of electromechanical transient time scale modelling, establishes the transfer function model of doubly-fed wind turbine considering inertia support and frequency response based on pitch angle adjustment, and then establishes the discrimination model for real measured signal modelling by differencing. In view of the multiple input and single output characteristics of the identification model, a model parameter identification method based on the niche particle swarm algorithm is proposed. Finally, the rationality of the proposed electromechanical transient model and the effectiveness of the parameter identification method are verified by using the active frequency disturbance of the improved WSCC-9BUS wind power system. The results of the testing data modelling show that the proposed method can realize the equivalent modelling of the frequency regulation characteristics of the doubly-fed wind turbine. © The Institution of engineering & Technology 2023.

关键词： Wind turbines

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