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A nano-sheet graphene-based enhanced thermal radiation composite for passive heat dissipation from vehicle batteries

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Nano Materials science 2024年第4期6卷 443-455页

作者： Ji-Xiang Wang Christopher Salmean Jiaxin Li Chaojie Lei Jun Li Mingliang Zhong Bo Qi Yufeng Mao Hebei Key Laboratory of Man-machine Environmental Thermal Control Technology and Equipment Hebei Vocational University of Technology and EngineeringHebei 054000PR China College of Electrical Energy and Power EngineeringYangzhou UniversityYangzhou225009PR China Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and TechnologyKowloonHong Kong SARPR China China Academy of Launch Vehicle Technology Beijing100076PR China Beijing Sino-Spark Technology Co. Ltd.Beijing100191PR China School of Environmental Science and Engineering Suzhou University of Science and TechnologySuzhou215009PR China Institute of Optics and Electronics Chinese Academy of SciencesChengdu610209PR China National Key Laboratory of Optical Field Manipulation Science and Technology Chinese Academy of SciencesChengdu610209PR China Taizhou Wavexploration Energy Ltd. Taizhou225513PR China Department of Electrical and Computer Engineering University of TorontoTorontoM5S3G4Canada

In response to thermal runaway(TR)of electric vehicles,recent attention has been focused on mitigation strategies such as efficient heat dredging in battery thermal *** management with particular focus on battery cooling has been becoming increasingly *** usually happened when an electric vehicle is unpowered and *** this state,traditional active battery cooling schemes are disabled,which can easily lead to dangerous incidents due to loss of cooling ability,and advanced passive cooling strategies are therefore gaining ***,we developed an enhanced thermal radiation material,consisting of~1μm thick multilayered nano-sheet graphene film coated upon the heat dissipation surface,thereby enhancing thermal radiation in the *** surface was characterized on the nanoscale,and tested in a battery-cooling *** found that the graphene-based coating's spectral emissivity is between 91% and 95% in the mid-infrared region,and thermal experiments consequently illustrated that graphene-based radiative cooling yielded up to15.1% temperature reduction when compared to the uncoated *** the novel graphene surface to augment a heat pipe,the temperature reduction can be further enlarged to 25.6%.The new material may contribute to transportation safety,global warming mitigation and carbon neutralization.

关键词： Battery thermal management Nano-sheet graphene Functional material Passive cooling Thermal radiation

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Human fall detection based on multi-algorithm fusion 5

Human fall detection based on multi-algorithm fusion

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5th International Conference on computer Information science and Artificial Intelligence, CISAI 2022

作者： Li, JiuHui Yao, JiaMin Xie, XiaoPeng Luo, YiMing Huang, ZhiPeng Chen, ZuDong School of Computer Science and Cyber Engineering Guangzhou University Guangzhou510006 China School of Mathematics and Information Science Guangzhou University Guangzhou510006 China School of Mechanical and Electrical Engineering Guangzhou University Guangzhou510006 China

ISBN: (纸本)9781510662520

In response to the problems of complex implementation, low accuracy, poor applicability and high latency of some contemporary human fall detection algorithms that do not achieve real-time results, this paper proposes a fall detection based on Tiny-YOLO target detection algorithm, Kalman target trajectory tracking, Alphapose human pose recognition and spatio-temporal convolutional network, a combination of multiple algorithms. It solves the problem that human target features are difficult to extract and subsequent tracking is lost. And the training speed is accelerated to achieve fast detection of human falls through video and improve the accuracy. The algorithm is tested on the publicly available datasets UR Fall Detection Dataset and Lei2 fall Detection Dataset, and the experimental results prove that the algorithm in this paper has high detection accuracy and effectively reduces the false detection rate. © 2023 SPIE.

关键词： Fall detection

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Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks

Stability and Performance Analysis of Discrete-Time ReLU Rec...

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IEEE Conference on Decision and Control

作者： Sahel Vahedi Noori Bin Hu Geir Dullerud Peter Seiler Department of Electrical Engineering & Computer Science University of Michigan Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Department of Mechanical Science and Engineering University of Illinois Urbana-Champaign

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

This paper presents sufficient conditions for the stability and $\ell_{2}$-gain performance of recurrent neural networks (RNNs) with ReLU activation functions. These conditions are derived by combining Lyapunov/dissipativity theory with Quadratic Constraints (QCs) satisfied by repeated ReLUs. We write a general class of QCs for repeated ReLUs using known properties for the scalar ReLU. Our stability and performance condition uses these QCs along with a “lifted” representation for the ReLU RNN. We show that the positive homogeneity property satisfied by a scalar ReLU does not expand the class of QCs for the repeated ReLU. We present examples to demonstrate the stability / performance condition and study the effect of the lifting horizon.

关键词： Sufficient conditions Recurrent neural networks Scalability Stability analysis Performance analysis Computational efficiency Thermal stability

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Swarm of One: Bottom-Up Emergence of Stable Robot Bodies from Identical Cells

Swarm of One: Bottom-Up Emergence of Stable Robot Bodies fro...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Trevor Smith R. Michael Butts Nathan Adkins Yu Gu West Virginia University Morgantown USA Department of Mechanical and Aerospace Engineering at WVU Department of Computer Science and Electrical Engineering at WVU

Unlike most human-engineered systems, biological systems are emergent from low-level interactions, allowing much broader diversity and superior adaptation to complex environments. Inspired by the process of morphogenesis in nature, a bottom-up design approach for robot morphology is proposed to treat a robot's body as an emergent response to underlying processes rather than a predefined shape. This paper presents Loopy, a “Swarm-of-One” polymorphic robot testbed that can be viewed simultaneously as a robotic swarm and a single robot. Loopy's shape is determined jointly by self-organization and morphological computing using physically linked homogeneous cells. Experimental results show that Loopy can form symmetric shapes consisting of lobes. Using the same set of parameters, even small amounts of initial noise can change the number of lobes formed. However, once in a stable configuration, Loopy has an “inertia” to transfiguring in response to dynamic parameters. By making the connections among self-organization, morphological computing, and robot design, this work lays the foundation for more adaptable robot designs in the future.

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An Efficient Technique For Detection Of Faulty Sensors In Planar Antenna Array 4

An Efficient Technique For Detection Of Faulty Sensors In Pl...

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4th International Conference on electrical, Communication and computer engineering, ICECCE 2023

作者： Bhatti, Afaq Ahmed Zaman, Fawad Abbas, Syes Muzahir Phanomchoeng, Gridsada Khan, Shafqat Ullah Waseem, Athar Department of Electrical and Computer Engineering COMSATS University Islamabad Pakistan School of Engineering Faculty of Science and Engineering Macquarie University SydneyNSW2109 Australia Department of Mechanical Engineering Chaulalongkorn University Bangkok Thailand Department of Electronics University of Buner Buner Pakistan Department of Electrical Engineering International Islamic University Islamabad Pakistan

ISBN: (纸本)9798350369694

Planar antenna arrays are considered as the one of the important parts in the applications like broadcasting, sonar and radar communication. In order to produce the directed beam of desired angles, the planar antenna array is used with large number of antenna elements. In the presence of faulty element(s) the resultant radiation pattern is distorted with high magnitude side lobes and reduced gain. The process of detection is discussed widely in linear arrays but for the planar arrays this study is limited. This study developed the process of the detection of the faulty antenna(s) in the planar array using a detection algorithm by comparing the weights of array with faulty antennas with the weights of arrays with healthy antennas. The analysis was varied for different orientations of 4 × 4 and 6 × 6 arrays with single and multiple element failures. The detection algorithm was found to be efficient in detecting the faulty elements with great accuracy. © 2023 IEEE.

关键词： Fault detection

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A Low-Cost Wearable Exoskeleton for Sitting and Standing Assistance

A Low-Cost Wearable Exoskeleton for Sitting and Standing Ass...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Kayla Blalack Leo Wang Maximus Maldonado Lauren Marbury Soroush Zare Ye Sun Department of Mechanical and Aerospace Engineering University of Virginia Charlottesville VA Department of Electrical and Computer Engineering University of Virginia Charlottesville VA

ISBN: (数字)9798331530143

ISBN: (纸本)9798331530150

This paper presents the design, prototyping, and testing of a low-cost wearable exoskeleton that assists sitting-to-standing and standing-to-sitting (STS) transitions for users with lower limb mobility impairment. This exoskeleton design utilizes the mechanism of invisible chairs as the supporting structure and powers the knee and hip joints to provide fast and smooth transitions between sitting and standing. This exoskeleton features low cost, and minimally invasive design, making it suitable for everyday use. The study highlights the potential of this device to improve the quality of life for elderly individuals by promoting safer and more independent mobility.

关键词： Body sensor networks Minimally invasive surgery Costs Exoskeletons Robot sensing systems Older adults Hip Testing

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Leveraging Opinions and Vaccination to Eradicate Networked Epidemics

Leveraging Opinions and Vaccination to Eradicate Networked E...

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European Control Conference (ECC)

作者： Humphrey C. H. Leung Zhuocong Li Baike She Philip E. Paré School of Electrical and Computer Engineering Purdue University Department of Mechanical and Aerospace Engineering University of Florida

We introduce a multi-layer networked compartmental ${SIRS} - V_{o}$ model that captures opinion dynamics, disease spread, risk perception, and self-interest vaccine-uptake behavior in an epidemic process. We characterize the target vaccination criterion of the proposed model and conditions that guarantee the criterion is obtainable by influencing opinions on disease prevalence. We leverage this result to design an eradication strategy that leverages opinions and vaccination. Through numerical simulations, we show that the proposed eradication strategy is able to stabilize the epidemic process around a healthy state equilibrium, and the outbreak rebounds after the control signal is relaxed

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Predicting the friction angle of clays using a multi-layer perceptron neural network enhanced by yeo-johnson transformation and coral reefs optimization

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Journal of Rock Mechanics and Geotechnical engineering 2024年第10期16卷 3982-4003页

作者： Libing Yang Trung Nguyen-Thoi Trung-Tin Tran College of Civil Engineering and Architecture Hunan Institute of Science and TechnologyYueyang414006China Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh CityViet Nam Faculty of Mechanical-Electrical and Computer Engineering School of TechnologyVan Lang UniversityHo Chi Minh CityViet Nam Department of Information Technology Greenwich VietnamFPT UniversityDa Nang550000Viet Nam

The accurate prediction of the friction angle of clays is crucial for assessing slope stability in engineering *** study addresses the importance of estimating the friction angle and presents the development of four soft computing models:YJ-FPA-MLPnet,YJ-CRO-MLPnet,YJ-ACOC-MLPnet,and *** of all,the Yeo-Johnson(YJ)transformation technique was used to stabilize the variance of data and make it more suitable for parametric statistical models that assume normality and equal *** technique is expected to improve the accuracy of friction angle prediction *** friction angle prediction models then utilized multi-layer perceptron neural networks(MLPnet)and metaheuristic optimization algorithms to further enhance performance,including flower pollination algorithm(FPA),coral reefs optimization(CRO),ant colony optimization continuous(ACOC),and cuckoo search algorithm(CSA).The prediction models without the YJ technique,***-MLPnet,CRO-MLPnet,ACOC-MLPnet,and CSA-MLPnet,were then compared to those with the YJ technique,***-FPA-MLPnet,YJ-CRO-MLPnet,YJ-ACOC-MLPnet,and *** these,the YJ-CRO-MLPnet model demonstrated superior reliability,achieving an accuracy of up to 83%in predicting the friction angle of clay in practical engineering *** improvement is significant,as it represents an increase from 1.3%to approximately 20%compared to the models that did not utilize the YJ transformation technique.

关键词： Natural hazards Slope stability Friction angle Clay Soft computing models Geotechnical engineering

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Dynamic Battery Type Detection Using Neural Networks 20

Dynamic Battery Type Detection Using Neural Networks

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20th IEEE International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT, HONET 2023

作者： Lopez, Hector K. Zilouchian, Ali Abtahi, Amir Florida Atlantic University Department of Electrical Engineering & Computer Science Boca RatonFL United States Florida Atlantic University Department of Ocean and Mechanical Engineering Boca RatonFL United States

ISBN: (纸本)9798350331110

Dynamically detecting battery chemistries, including LiFePO4, Ni-MH, and Lead Acid, is explored through extensive simulations. Utilizing discharge curves as training data, three neural network architectures-Single Hidden Layer, Double Hidden Layer, and Radial Basis Transfer Function-are employed for pattern recognition across diverse discharge profiles. The objective is to enable the identification of connected battery types and optimize charging control. This research holds significance in real-time Electric Vehicle (EV) charging optimization, offering the capability to discern various battery chemistries. Additionally, in Peer-to-Peer (P2P) energy markets, the dynamic contribution of batteries to the grid requires safe and efficient charging for interoperable systems. The findings presented in this study introduce adaptable systems, fostering innovation in sustainable energy practices. © 2023 IEEE.

关键词： Charging (batteries)

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Analytical Methods for Determining High Frequency Winding Loss for Toroidal Inductors

Analytical Methods for Determining High Frequency Winding Lo...

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2023 IEEE Electric Ship Technologies Symposium, ESTS 2023

作者： Marzec, Todd J. Raju, Ravisekhar Grainger, Brandon Ohodnicki, Paul R. University of Pittsburgh Department of Electrical and Computer Engineering Pittsburgh United States Fastwatt Llc Clifton Park United States University of Pittsburgh Department of Mechanical Engineering and Materials Science Pittsburgh United States

ISBN: (纸本)9781665465151

Inductors are energy storage devices that serve as key components in power conversion technology. The advent of wide-bandgap (WBG) semiconductor devices has led to high frequency operation of power converters at higher voltage and current levels. In the range of 20kHz-1MHz, additional sources of loss in magnetic components interfacing to these WBG semiconductors are introduced due to high-frequency electromagnetic phenomena. Finite element analysis can capture these effects to a high degree of accuracy but require extensive computation time precluding their application in robust optimization and design schemes. There exist several analytical models for winding loss in literature that can evaluate multiple designs with minimal computation cost. In this work, popular models are reviewed, investigated, and expanded on in the context of various toroidal winding geometries. The goal of this work is to analyze well-known winding loss models and demonstrate their accuracies at high frequency (beyond 20kHz) as they pertain to toroidal inductors while maintaining the low computation cost required for integration into optimization and design schemes. © 2023 IEEE.

关键词： Analytical models

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