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Progresses on two-phase modeling of proton exchange membrane water electrolyzer

Energy Reviews 2024年第3期3卷 30-57页

作者： Boshi Xu Tao Ouyang Yang Wang Yang Yang Jun Li Liangliang Jiang Chaozhong Qin Dingding Ye Rong Chen Xun Zhu Qiang Liao Key Laboratory of Low-grade Energy Utilization Technologies and Systems Ministry of EducationChongqing UniversityChongqing400030China Institute of Engineering Thermophysics School of Energy and Powering EngineeringChongqing UniversityChongqing400030China Department of Chemical and Petroleum Engineering The University of CalgaryCalgaryAlbertaCanada State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing400044China

The Proton Exchange Membrane(PEM)water electrolyzer is considered one of the promising energy storing means for harnessing variable renewable energy sources to produce *** the internal fluid dynamics,which are often challenging to directly observe experimentally,has prompted the use of numerical models to investigate two-phase flow within PEM water *** this study,we provide a comprehensive review of prior research focusing on two-phase modeling of PEM electrolyzers,encompassing both components at mesoscopic scales and the full electrolyzer at the macroscopic *** delve into the specifics of various modeling approaches for two-phase flow at different scales and summarize and discuss the current state of the art in the ***,two-phase models for the full electrolyzer predominantly employ a macroscopic homogeneous ***,mesoscopic and microscopic models capable of tracking phase interfaces are limited to *** persist in integrating various modeling scales into a comprehensive electrolyzer model,particularly in coupling two-phase flow between the channels and porous *** efforts should focus on developing multi-scale models and simulating two-phase flow under fluctuating input ***,given the structural similarities between PEM water electrolyzers and PEM fuel cells,we compare and discuss differences in two-phase modeling between the two *** work offers the insights for researchers in the field of modeling of PEM water electrolyzers and even fuel cells.

关键词： Proton exchange membrane(PEM)water electrolyzer Two-phase model Multiscale modeling Water management Numerical simulation

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On extended state Kalman filter-based identification algorithm for aerodynamic parameters

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control Theory and Technology 2024年第2期22卷 235-243页

作者： Wenyan Bai Ruizhe Jia Peng Yu Wenchao Xue Beijing Aerospace Automatic Control Institute Beijing100854China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of EducationBeijing100083China Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China

In this paper, the problem of time-varying aerodynamic parameters identification under measurement noises is studied. By analyzing the key aerodynamic parameters that affect the aircraft control system, a system model with extended states for identifying equivalent aerodynamic parameters is established, and error parameters are extended to the system state, avoiding the difficulty caused by the unknown dynamic in the system. Furthermore, an identification algorithm based on extended state Kalman filter is designed, and it is proved that the algorithm has quasi-consistency, thus, the estimation error can be evaluated in real time. Finally, the simulation results under typical flight scenarios show that the designed algorithm can accurately identify aerodynamic parameters, and has desired convergence speed and convergence precision.

关键词： Aerodynamic parameters Parameter identification Extended state Kalman filter

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An Experimental Research on Temperature Accuracy Algorithm in Fan Coil Thermostat 6

An Experimental Research on Temperature Accuracy Algorithm i...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Ari, Yunus Cücük, Ergün Karateke, Seda Institute of Graduate Studies Istanbul University - Cerrahpaşa Electric and Electronic Engineering Istanbul34320 Turkey Control and Automation Systems Industry and Trade Inc. Department of Research and Development Ges Teknik Air Conditioning Istanbul34852 Turkey Istanbul Topkapi University Faculty of Engineering Department of Computer Engineering Istanbul34087 Turkey

ISBN: (纸本)9798350346671

The efficient operation of HVAC&R systems are based on keeping indoor temperature and air quality at an optimum level without disturbing comfort. Starting from this point, in this experimental research, the factors affecting the measurement accuracy during the room temperature detection of a wall mount fan coil thermostat were examined. Among the external effects, the effect of the device components on the measurement was focused and the solution of the measurement deviations occurred in this extent was investigated. Based on the experiments, the algorithm that must be applied to reach the optimum temperature measurement of a room thermostat developed for Fan Coil systems was proposed. © 2023 IEEE.

关键词： Thermostats

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Extinction Chains Reveal Intermediate Phases Between the Safety and Collapse in Mutualistic Ecosystems

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engineering 2024年第12期43卷 89-98页

作者： Guangwei Wang Xueming Liu Ying Xiao Ye Yuan Linqiang Pan Xiaohong Guan Jianxi Gao Hai-Tao Zhang The MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems State Key Laboratory of Digital Manufacturing Equipment and TechnologySchool of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China Guangdong HUST Industrial Technology Research Institute Huazhong University of Science and TechnologyDongguan 523808China Guangdong Provincial Engineering Technology Center of Autonomous Unmanned Vessels Dongguan 523808China MOE Key Laboratory of Intelligent Networks and Network Security&State Key Laboratory of Manufacturing Systems Xi’an Jiaotong UniversityXi’an 710049China Tsinghua National Laboratory of Information Science and Technology Department of AutomationTsinghua UniversityBeijing 100084China Department of Computer Science Rensselaer Polytechnic InstituteTroyNY 12180USA

Ecosystems are undergoing unprecedented persistent deterioration due to unsustainable anthropogenic human activities,such as overfishing and deforestation,and the effects of such damage on ecological stability are *** recent advances in experimental and theoretical studies on regime shifts and tipping points,theoretical tools for understanding the extinction chain,which is the sequence of species extinctions resulting from overexploitation,are still lacking,especially for large-scale nonlinear networked *** this study,we developed a mathematical tool to predict regime shifts and extinction chains in ecosystems under multiple exploitation situations and verified it in 26 real-world mutualistic networks of various sizes and *** discovered five phases during the exploitation process:safe,partial extinction,bistable,tristable,and collapse,which enabled the optimal design of restoration strategies for degraded or collapsed *** validated our approach using a 20-year dataset from an eelgrass restoration ***,we also found a specific region in the diagram spanning exploitation rates and competition intensities,where exploiting more species helps increase *** computational tool provides insights into harvesting,fishing,exploitation,or deforestation plans while conserving or restoring the biodiversity of mutualistic ecosystems.

关键词： Complex system Network science Overexploitation Regime shift Metastability

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Thermal Cycling Effect in a Traction Inverter for Star-connected and Open-end Winding Permanent Magnet Synchronous Motors with Nearly Constant Losses Current Regulation 29

Thermal Cycling Effect in a Traction Inverter for Star-conne...

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29th International Workshop on Electric Drives: Advances in Power Electronics for Electric Drives, IWED 2022

作者： Ali, Yousef Kulik, Egor Anuchin, Alecksey Do, Duy Hiep Moscow Power Engineering Institute Department of Electric Drives Moscow Russia Thuyloi University Department of Automation and Control Engineering Hanoi Viet Nam

ISBN: (纸本)9781665467865

One of the causes of faults in the electric drive is the failure of the power semiconductor module. Semiconductors degrade under the effect of thermal cycles. Thermal aging of materials occurs due to temperature difference between the elements of the power module as well as difference of their thermal expansion coefficients, which eventually leads to the destruction of the power module construction. The influence of thermal cycles is most expressed in traction drives, which are characterized by modes with low speeds and variation of commanded torque in time. This article considers a BMW i3 electric drive model and an open-end winding drive with Nearly Constant Losses Current Regulation for evaluating thermal cycles in a power module. The new European driving cycle was used as a test cycle for both drives. It is shown how the proposed algorithm makes it possible to reduce the thermocycling effects in semiconductor devices. © 2022 IEEE.

关键词： Thermal cycling

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Path-Complete Barrier Functions for Safety of Switched Linear systems 63

Path-Complete Barrier Functions for Safety of Switched Linea...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Anand, Mahathi Jungers, Raphael Zamani, Majid Allgower, Frank Institute for Systems Theory and Automatic Control University of Stuttgart Germany Université Catholique de Louvain Department of Mathematical Engineering Belgium University of Colorado Boulder United States

ISBN: (纸本)9798350316339

In this paper, we address the safety verification problem of switched linear dynamical systems under arbitrary switching via barrier functions. Our approach is based on a notion of path-complete barrier functions, which utilizes a collection of barrier functions associated with a directed labeled graph that can encode all the possible switching sequences. We show that path-complete barrier functions effectively generalize notions of common and multiple barrier functions studied in existing literature, and can potentially provide less conservative conditions for safety verification. We demonstrate that, for switched linear systems, the inequalities imposed via path-complete barrier functions can be easily encoded into simple linear matrix inequalities under some assumptions on the regions of interest and appropriately chosen templates for the barrier functions. We also study the relationship between path-complete barrier functions and common barrier functions, and show that for any path-complete graph with an admissible path-complete barrier function, one can derive a suitable (possibly non-smooth) common barrier function by utilizing the path-complete barrier function. Finally, we utilize several examples to illustrate the effectiveness of our approach, and briefly discuss the challenges that lay foundations for future research. © 2024 IEEE.

关键词： Directed graphs

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Matrix-Scaled Consensus of Uncertain Networked systems 42

Matrix-Scaled Consensus of Uncertain Networked Systems

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42nd Chinese control Conference, CCC 2023

作者： Cheng, Bin Li, Gang College of Electronics and Information Engineering Department of Control Science and Engineering Tongji University Shanghai201804 China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201210 China

ISBN: (纸本)9789887581543

This paper studies the distributed matrix-scaled consensus, which can be treated as a kind of generalized cooperative control problem and has broad applications in the field of social network and engineering. Distributed protocols are expected to achieve cluster consensus with respect to the matrix-based weight and deal with the unknown disturbances present to the system dynamics. A static distributed protocol is first presented, including a linear term and a nonlinear term based on the sliding-mode control technique, under which the matrix-scaled consensus is realized and the disturbances are resisted. Then, a distributed adaptive algorithm is designed by using the adaptive method to introduce time-varying gains, obeying differential equations. It is to be pointed out that the static protocol is more concise if the parameter condition is satisfied, and the adaptive protocol is completely distributed and relies on no global information when designing or using the algorithm. Simulation examples are provided to further verify the designed algorithms. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Adaptive algorithms

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Optimizing Handwritten Character Recognition systems: Neural Networks vs. Statistical Methods

Optimizing Handwritten Character Recognition Systems: Neural...

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2024 IEEE International Conference on Intelligent systems and Advanced Applications, ICISAA 2024

作者： Agrawal, Vikash K. Bogireddy, Srinivasa Rao Patil, Lalit N. Sonekar, Mahesh Patil, Yashraj M. Panwar, Vikas Singh Dr. D. Y. Patil Institute of Technology Department of Automation and Robotics Engineering Pune India Horizon Systems Inc PhoenixAZ United States Dr. D. Y. Patil Institute of Technology Department of Mechanical Engineering Pune India

ISBN: (纸本)9798331539948

This investigation focuses on the identification of handwritten characters using neural network technology combined with statistical methods. Handwriting recognition has gained popularity due to its wide range of applications in document processing, signature authentication, and digitized communication. The use of neural networks, particularly deep learning models, has greatly enhanced the accuracy and efficiency of character recognition systems. This study provides a comprehensive analysis aimed at evaluating the effectiveness of neural networks in recognizing handwritten characters. Various neural network architectures, including convolution and recurrent neural networks, are explored;each designed to address specific challenges in character recognition. Additionally, statistical methods are employed for feature extraction, further improving recognition accuracy. Extensive testing and benchmarking are conducted on diverse handwritten datasets to assess the performance of the proposed approaches. The results demonstrate the significant benefits of combining artificial neural networks with statistical techniques to achieve high levels of accuracy in character recognition, paving the way for practical applications. This study makes substantial contributions to the field of handwritten character recognition by highlighting the synergistic advantages of neural networks and statistical methods, which will aid in the development of more accurate and robust authentication systems for future applications. © 2024 IEEE.

关键词： Convolution

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Modeling and Operating Point Analysis for Aquatic Translational Motion of a Cross-Medium Vehicle 42

Modeling and Operating Point Analysis for Aquatic Translatio...

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42nd Chinese control Conference, CCC 2023

作者： Dou, Minghao Liu, Xuchen Huang, Dongyue Wang, Biao Cui, Jinqiang Ren, Qinyuan Dou, Lihua Chen, Jie Chen, Ben M. Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Shatin N.T. Hong Kong College of Automation Engineering Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing China Peng Cheng Laboratory Guangdong Shenzhen China College of Control Science and Engineering Zhejiang University Zhejiang Hangzhou China Automation Beijing Institute of Technology Beijing China

ISBN: (纸本)9789887581543

Modeling of cross-medium vehicles with complex shapes still requires a thorough investigation. This paper proposes a multi-method combination modeling approach to tackle such a problem. First-principle model is derived to determinate a model structure. Experiments are then set up to estimate parameters related to its rigid-body model and propulsion system. Computational fluid dynamics (CFD) is performed to calculate and identify coefficients related to surrounding fluid. Base on the model obtained, we systematically investigate the possible steady motion of the cross-medium vehicle and analyze their related performance. Results are instrumental for designing controllers for the vehicle to perform autonoumous missions. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Computational fluid dynamics

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Adaptive control of Discrete-time Nonlinear systems Using ITF-ORVFL

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IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 556-563页

作者： Xiaofei Zhang Hongbin Ma Wenchao Zuo Man Luo School of Automation Beijing Institute of TechnologyBeijing 100081 School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China School of Automation Beijing Institute of Technologyand also with the State Key Laboratory of Intelligent Control and Decision of Complex Systems(Beijing Institute of Technology)Beijing 100081China School of Automation Beijing Institute of TechnologyBeijing 100081and he is with Beijing Institute of Electronic System EngineeringBeijing 100854China School of Automation Beijing Institute of TechnologyBeijing 100081and she is with Ant GroupBeijing 310013China

Random vector functional ink(RVFL)networks belong to a class of single hidden layer neural networks in which some parameters are randomly *** network structure in which contains the direct links between inputs and outputs is unique,and stability analysis and real-time performance are two difficulties of the control systems based on neural *** this paper,combining the advantages of RVFL and the ideas of online sequential extreme learning machine(OS-ELM)and initial-training-free online extreme learning machine(ITFOELM),a novel online learning algorithm which is named as initial-training-free online random vector functional link algo rithm(ITF-ORVFL)is investigated for training *** link vector of RVFL network can be analytically determined based on sequentially arriving data by ITF-ORVFL with a high learning speed,and the stability for nonlinear systems based on this learning algorithm is *** experiment results indicate that the proposed ITF-ORVFL is effective in coping with nonparametric uncertainty.

关键词： Adaptive control initial-training-free online learning algorithm random vector functional link networks

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