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检索条件"任意字段=International Conference on Modeling, Simulation and Applied Optimization"

共 22420 条记录，以下是4841-4850 订阅

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optimization of magnetic coupling shielding structure of DD coil for electric vehicle wireless charging based on parameter estimation

Optimization of magnetic coupling shielding structure of DD ...

引用

international conference on Electrical Machines and Systems (ICEMS)

作者： Wang Lujun Zhang Yifan Chen Zhiwei Xiang Xiaoming Danfeng Linzi Liu Hui Department of Electrical Engineering and Automation HeFei University of Technology HeFei China Dangtu County Power Supply Company State Grid Anhui Electric Power Co. LTD Ma’anshan China

ISBN: (数字)9781665493024

ISBN: (纸本)9781665493031

At present, wireless charging has the advantages of safety and convenience to solve the charging and replacement problems faced by electric vehicles at the present stage. But the current wireless charging coil design part of the coupling coefficient is low. Low coupling efficiency is still difficult to be applied, in order to improve the coil coupling coefficient, this paper proposes a metal shielding layer for DD coil structure optimization design. That uses the finite element analysis tool for integrated coil metal shielding layer structure size parameters analysis, then the optimal structure is found to improve the coupling coefficient. Firstly, the influence of the structure size of DD coil metal plate on the existence of coupling coefficient was studied by mathematical modeling analysis. Secondly, MAXWELL simulation was used to study the coupling coefficients of metal plates under different size structures. Finally, based on the above research, the optimal size of the metal plate shielding layer is designed to achieve the optimization effect of the shielding layer of the magnetic coupling mechanism of the wireless charging system.

关键词： Couplings Analytical models Inductive charging Metals Magnetic noise Electric vehicles Mathematical models

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Fast Transmit-Phase optimization and Tracking to Moving Target in Distributed-Antenna Wireless Energy Transfer

Fast Transmit-Phase Optimization and Tracking to Moving Targ...

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international conference on Engineering and Emerging Technologies (ICEET)

作者： Masaaki Fujii MinebeaMitsumi Inc. Fukuroi Shizuoka Japan

ISBN: (纸本)9781665491075

A fast transmit-phase optimization scheme is described for a moving target in wireless energy transfer (WET) with distributed antennas. A transmit-phase inversion technique is sequentially applied to subset antennas used for dedicated energy beamforming (DEB). The received signal phase of each subset transmit antenna is estimated at a receiver and then fed back to a WET transmit-phase control unit. Our simulation results demonstrated that our proposed DEB-WET scheme with frame length of 50 ms was able to track the channel phase variations induced a maximum speed of 2.0 m/s and maintained high wireless power transfer efficiency.

关键词： Wireless communication Target tracking Array signal processing Energy exchange simulation Transmitting antennas Receiving antennas

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Socio-cognitive optimization of Time-delay Control Problems using Evolutionary Metaheuristics

Socio-cognitive Optimization of Time-delay Control Problems ...

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international IEEE conference on Intelligent Systems, IS

作者： Piotr Kipiński Hubert Guzowski Aleksandra Urbańczyk Maciej Smołka Marek Kisiel-Dorohinicki Aleksander Byrski Zuzana Kominkova Oplatkova Roman Senkerik Libor Pekar Radek Matusu Frantisek Gazdos Institute of Computer Science AGH University of Science and Technology Krakow Poland Faculty of Applied Informatics Tomas Bata University in Zlín Czech Republic

ISBN: (纸本)9781665492768

Metaheuristics are universal optimization algorithms which should be used for solving difficult problems, unsolvable by classic approaches. In this paper we aim at constructing novel socio-cognitive metaheuristic based on castes, and apply several versions of this algorithm to optimization of time-delay system model. Besides giving the background and the details of the proposed algorithms we apply them to optimization of selected variants of the problem and discuss the results.

关键词： Computational modeling Metaheuristics Evolutionary computation Intelligent systems Genetic algorithms

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Research on Power Expansion and optimization Based on Profit and Loss Balances of Power, Peak Shaving, Power Consumption, and System Economy in Data-deficient Regions

Research on Power Expansion and Optimization Based on Profit...

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IEEE PES Asia-Pacific Power and Energy Engineering conference (APPEEC)

作者： Junchai Wang Dongying Yi Youlin Lu Jianwei Gu Jie Gao SiSheng Li Planning and Research Institute Powerchina Zhongnan Engineering Corporation Limited Changsha Hunan China Planning and Research Institute Powerchina Zhongnan Engineering Corporation Limited Changsha Hunan P.R.C Planning Department China Renewable Energy Engineering Institute Beijing P.R.C Powerchina International Group Limited Beijing P.R.C

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

In response to global climate change, many countries have established ambitious carbon neutrality targets, fostering a consensus on increasing the share of renewable energy within power systems. This paper utilizes Africa as a case study due to the scarcity of power system data and examines the region's annual power supply structure, consumption patterns, load characteristics, as well as projected maximum loads and forecasts for power consumption. Through a comprehensive break-even analysis of diverse energy resources, we identify optimal supplemental power combinations. Additionally, we propose an optimization approach for economic power development that balances profit and loss in power, peak shaving, and power consumption. The system economic model adopts the comprehensive leveling power cost index considering the whole power construction and operation life cycle. It dynamically selects adjustable power sources, such as thermal power, that are not affected by meteorology. Under the premise of satisfying future system power, peak shaving, and power consumption balance, we seek to develop an expansion plan with minimal system costs to inform planning and policy-making in this research area. The research results are applied to the typical African country, Egypt, demonstrating its ability to effectively guide the formulation of its future power development planning scheme and has a good application prospect.

关键词： Renewable energy sources Climate change Power demand Costs Electricity optimization models Africa Planning optimization Load modeling

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Research on optimization Method of Originating Direct Transportation Organization 7

Research on Optimization Method of Originating Direct Transp...

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2020 7th international conference on Computer-Aided Design, Manufacturing, modeling and simulation, CDMMS 2020

作者： Li, Lixuan Ding, Yong Han, Lu School of Traffic and Transportation Beijing Jiaotong University Haidian District Beijing100044 China School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China

Organizing nonstop train is one of the effective ways to organize traffic flow. This article introduces the conditions, principles and schemes of the nonstop transport organization. On this basis, this paper establishes a mathematical model with the goal of minimizing the total consumption of traffic in the loading and unloading areas and during operation. This model is constrained by the uniqueness of the plan and the restriction of direct traffic flow. This paper constructs an example to test the actual application of the model, verify its effectiveness, and explain the advantages of organizing nonstop train. © Published under licence by IOP Publishing Ltd.

关键词： Unloading

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Dynamic Clustering Method for Distributed Photovoltaic Systems Based on Improved Fuzzy C-means Algorithm

Dynamic Clustering Method for Distributed Photovoltaic Syste...

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Energy Storage and Conversion (ISESC), CPSS & IEEE international Symposium on

作者： Xuhua Liu Yuyang Liu Weiguo Zhang Tianxiang Yin Xiaojie Shi Lei Lin School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China Department of Electrical and Electronic Engineering Imperial College London London United Kingdom

ISBN: (数字)9798350380514

ISBN: (纸本)9798350380521

Detailed modeling of large-scale distributed photovoltaic (PV) power system encounters challenges such as significant computing burden, making it critical to establish a clustering equivalent model. However, existing clustering algorithms suffer from drawbacks such as the sensitivity to noise and the tendency to converge on a local optima. To tackle these challenges, this paper proposes a dynamic clustering method based on the improved fuzzy C-means algorithm. Firstly, a comprehensive clustering indicator that effectively characterizes the combined effect of the equivalent electrical distance, the voltage support function and the inverter capacity is introduced. Secondly, the particle swarm optimization algorithm (PSO) is employed to identify the global optimal solution, which serves as the initial clustering center. Following such initialization, the fuzzy C-means algorithm (FCM) is applied to partition the PV units into several clusters. The optimal number of clusters is then determined by maximizing the Calinski-Harabasz Index (CHI). The improved clustering method proposed in this paper reduces the great dependence of clustering performance and initial clustering centers when using the fuzzy C-means algorithm, thus significantly enhancing the clustering accuracy. simulation results from MATLAB/ Simulink demonstrate the effectiveness of the proposed clustering method and resultant equivalent model for decreasing the relative error in the reactive power emulation from 15.8% with FCM to 2.11% with the improved algorithm, which accurately reflects the dynamic response characteristics of distributed PV system and their diverse voltage support behaviors.

关键词： Photovoltaic systems Reactive power Heuristic algorithms Clustering methods Power system dynamics Clustering algorithms Voltage Mathematical models Partitioning algorithms Particle swarm optimization

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Brushless DC motor optimization based on direct torque control

Brushless DC motor optimization based on direct torque contr...

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IEEE international conference on Mechatronics and Automation

作者： Ruoqi Gao Xuliang Yao Qi Guan Hai He College of Intelligent Systems Science and Engineering Harbin Engineering University 145 Nantong Street Harbin Heilongjiang China

Combining the characteristics of brushless DC motor, based on the analysis of the traditional direct torque control with two two conduction, the direct torque control scheme based on extended park transform with three full conduction for brushless DC motor is proposed for the problem of large torque pulsation in the existing direct torque control with phase change. In order that the system can effectively suppress the torque fluctuation caused by the non-ideal counter potential the scheme uses the extended park transform to decompose the current and counter potential waveform constants, and the observed torque and magnetic chain are controlled in a double hysteresis loop, and the applied voltage vector is determined according to the torque and magnetic chain loop outputs and pole positions. Also, to reduce the torque error caused by phase change, a three-phase conduction strategy is used for motor drive. simulation and experimental results show that the optimized direct torque control system has good torque dynamic response and steady-state performance.

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COSMICA: a novel parallel GPU code for Cosmic Rays propagation in heliosphere

COSMICA: a novel parallel GPU code for Cosmic Rays propagati...

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Euromicro conference on Parallel, Distributed and Network-Based Processing

作者： Giovanni Cavallotto Stefano Della Torre Giuseppe La Vacca Massimo Gervasi Division of Milano-Bicocca ICSC - Centro Nazionale di Ricerca in HPC Big Data and Quantum Computing National Institute for Nuclear Physics (INFN) Department of Physics “Giuseppe Occhialini” University of Milano-Bicocca

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

The complex structure of interplanetary magnetic fields and their variability, due to solar activity, make it necessary to compute the Cosmic Ray (CR) modulation with numerical simulations. COde for a Speedy Monte Carlo (MC) Involving Cuda Architecture (COSMICA) is a MC code, solving backward-in-time the system of Stochastic Differential Equations (SDE) equivalent to the Parker Transport Equation (PTE). The Graphics Processing Unit (GPU) parallelization of COSMICA code is a game changer in this field because it reduces the computational time of a standard simulation from the order of hundred of minutes to few of them. Furthermore, the code is capable of distributing the computations on clusters of machines with multiple GPUs, opening the way for scaling. In COSMICA we implemented the synchronous broadcasting of memory access for evolving variable samples, the rounding of virtual particle set numbers, to fulfil the GPU blocks, and the exploitation of shared memory to free registers. Furthermore, we compactify the mathematical computations and pass to the lighter momentum formulation of SDE. The first porting of the code on GPU architecture brings it to a speed-up of 40 X. The successful optimizations bring 1.5X speed-up.

关键词： Technological innovation Codes Systematics Computational modeling Graphics processing units Stochastic processes Computer architecture optimization Cosmic rays Standards

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international conference on Electronic Materials and Information Engineering, EMIE 2021

International Conference on Electronic Materials and Informa...

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2021 international conference on Electronic Materials and Information Engineering, EMIE 2021

The proceedings contain 65 papers. The topics discussed include: modeling and simulation of lithium-ion battery considering the effect of charge-discharge state;research and design of digital unit for direct digital frequency synthesizer;effect of threshold switching selectors on one-selector one-resistor crossbar arrays;effect of secondary orientation on micromechanical properties of nickel base single crystal superalloy;discrete structural optimization of a passenger car rear seat frame using aluminum alloy;interactive multi-model independent joint probabilistic data association filtering algorithm;interface mechanical behavior of gold alloy wire bonding;region of interest coding based on convolutional neural network;and ring resonator modulators based on double-layer graphene and chalcogenide glasses waveguide in mid-infrared light.

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Arithmetic optimization Algorithm Assisted Deep Learning Model for Remote Sensing Image Classification

Arithmetic Optimization Algorithm Assisted Deep Learning Mod...

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international conference on Inventive Research in Computing Applications (ICIRCA)

作者： A. Josephine Anitha D. Gladis PG and Research Department of Computer Science Presidency College (Autonomous) University of Madras Chennai Bharathi Women's College Chennai

The spatial resolution of remote sensing images (RSI) was continuously enhanced with the advances in RSI technology. As a fundamental unit of RSI interpretation, the scene is an integration of semantics, multiple objects, and environments. RSI scene understanding not just needs to identify all objects, but needs to observe the topology distribution of many objects in an RSI scene. As a standard representative of deep learning (DL), convolutional neural networks (CNNs) are a promising method to abstract the visual contents of RSI scenes. As a result, CNN was broadly implemented in scene-driven object detection, RSI scene classification, RSI retrieval, etc. This study presents an Arithmetic optimization Algorithm Assisted Deep Learning Model for Remote Sensing Image Classification (AOADL-RSIC) approach. The presented AOADL-RSIC system exploits Gaussian filtering (GF) approach to eliminate noise. In the presented AOADL-RSIC technique, SqueezeNet model is used for feature extraction process. For the classification of different objects or classes in the RSIs, extreme learning machine (ELM) model is used. Finally, the AOA is applied for the optimum parameter adjustment of the ELM approach. The simulation results of the AOADL-RSIC system are tested on EUROSAT database and the outcome displayed the significance of the AOADL-RSIC approach on image classification process.

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