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2013 Eighth International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER)最新文献

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Switched reluctance motor drive for full electric vehicles - Part II: Practical implementation 全电动车辆用开关磁阻电动机驱动。第2部分:实际实施
R. Vrenken, J. Duarte, C. Wijnands, K. Boynov, E. Lomonova, S. Bervoets, S. Faid
The presented work is dedicated to the development of the control approaches with the aim to reduce the torque ripple of the switched reluctance motor (SRM) used as a prime mover in the full electric vehicle (FEV). In the previous paper the static and transient models created with the use of finite element method (FEM) software and Matlab/Simulink respectively together with optimization of the control are presented. This paper is primarily focused on the experimental verifications of the mathematical models and control methods together with their implementation on the prototype electric vehicle.
本文致力于开发控制方法,以减少作为全电动汽车原动机的开关磁阻电动机(SRM)的转矩脉动。本文分别利用有限元软件和Matlab/Simulink建立了静力模型和瞬态模型,并对控制进行了优化。本文主要对数学模型和控制方法进行了实验验证,并在原型电动汽车上进行了实现。
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引用次数: 3
Dynamic model of an alkaline electrolyzer based an artificial neural networks 基于人工神经网络的碱性电解槽动态模型
K. Belmokhtar, M. Doumbia, K. Agbossou
This paper presents an alkaline electrolyzer (AE) modelling based on artificial neural networks (ANN). Artificial neural networks can be applied to develop models for predicting the performance of complex and nonlinear systems. An alkaline electrolyzer behavior was modeled with success using a Multilayer Perceptron Network (MLP). The dynamic model which is used has been trained by using a Levenberg-Marquardt back propagation algorithm to learn the relationships that govern the electrolyzer and then predict its behavior without any physical equations. The absorbed electric current and the operating temperature were used as input vector of the neural networks which allows to predict the cell voltage behavior. The performance of this predictive neural network model is carried out using Matlab/Simulink software. Simulation results show that this predictive model estimated accurately the electrolyzer's cell voltage with the tracking errors within ± 0.01 V, which is less than ± 0.44 %.
提出了一种基于人工神经网络(ANN)的碱性电解槽(AE)模型。人工神经网络可以用来建立模型来预测复杂和非线性系统的性能。利用多层感知器网络(MLP)成功地模拟了碱性电解槽的行为。采用Levenberg-Marquardt反向传播算法对所使用的动态模型进行了训练,以学习控制电解槽的关系,然后在没有任何物理方程的情况下预测其行为。利用吸收电流和工作温度作为神经网络的输入向量,对电池电压行为进行预测。利用Matlab/Simulink软件对该预测神经网络模型的性能进行了验证。仿真结果表明,该预测模型准确地预测了电解槽槽电压,跟踪误差在±0.01 V以内,误差小于±0.44%。
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引用次数: 9
Switched reluctance motor drive for full electric vehicles - Part I: Analysis 全电动车辆用开关磁阻电动机驱动。第1部分:分析
R. Vrenken, J. Duarte, C. Wijnands, K. Boynov, E. Lomonova, S. Bervoets, S. Faid
This paper describes a control approach to reduce the torque ripple of the switched reluctance motor (SRM) employed as a prime mover in a full electric vehicle (FEV). The SRM drive, which was originally installed in the prototype electric vehicle was facing significant torque ripple at low speeds. The implemented control solution allowed to overcome this problem. The presented approach is based on the extensive mathematical modeling of the SRM drive. The nonlinear characteristics of the SRM have been obtained with the finite element method (FEM) software. The obtained FEM results have further been used in a transient lumped-parameter Matlab/Simulink model of the SRM drive, where the so-called Torque Sharing Function control technique with optimized control parameters was implemented to reduce the torque ripple and also to increase efficiency.
本文介绍了一种减小全电动汽车原动机开关磁阻电动机转矩脉动的控制方法。最初安装在原型电动汽车上的SRM驱动器在低速时面临着明显的扭矩波动。实现的控制解决方案可以克服这个问题。提出的方法是基于SRM驱动的广泛的数学建模。利用有限元软件分析了SRM的非线性特性。将得到的有限元结果进一步应用于SRM驱动器的瞬态集总参数Matlab/Simulink模型中,采用优化控制参数的转矩共享函数控制技术来减小转矩脉动并提高效率。
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引用次数: 8
Highly effective hydrogen production process based on Tolman-Stewart effect: Feasibility of its implementation 基于Tolman-Stewart效应的高效制氢工艺及其实施的可行性
I. Bolvashenkov, H. Herzog
This paper describes the current results of laboratory test of centrifugal hydrogen generator is a continuation of previous publications on the subject. Authors proposed a new approach to creating a hydrogen generator based on the process of decomposition of water in an artificial centrifugal field based on the Tolman-Stewart effect [1]. In this paper, the authors attempt to systematic analysis of the processes in the hydrogen generator based on fractal theory and the results of a series of experimental studies conducted by other researchers. The results obtained allow conclude about the prospects of the proposed centrifugal hydrogen generator.
本文介绍了目前离心式制氢机的实验室试验结果,是对以往关于该主题的出版物的延续。作者基于Tolman-Stewart效应,提出了一种基于人工离心场中水分解过程的制氢新方法[1]。本文试图以分形理论为基础,结合前人的一系列实验研究成果,对制氢装置的过程进行系统分析。所得结果对所提出的离心式制氢装置的发展前景作了展望。
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引用次数: 2
A hybrid MPPT technique based on the fast estimate of the Maximum Power voltages in PV applications 基于PV应用中最大功率电压快速估计的混合MPPT技术
M. Balato, M. Vitelli
In PV applications, under mismatching conditions, the adoption of a Maximum Power Point Tracking (MPPT) technique which is able to regulate not only the voltages of the PV modules of the array, but also the DC input voltage of the inverter is necessary in order to inject into the grid the maximum available energy. Such a technique can be considered an Hybrid MPPT (HMPPT) technique which is neither only distributed on the PV modules of the PV array or only centralized at the input of the inverter. In this paper a new HMPPT technique is presented and discussed. Its main advantages are the high MPPT efficiency and the high speed of tracking obtained by means of a fast estimate of the maximum power voltages of the PV modules and of the inverter. The new HMPPT technique is compared with a HMPPT technique based on the coupled adoption of the Perturb & Observe technique, distributed on the PV modules, and of a suitable centralized MPPT technique carried out by the controller of the central inverter and based on the periodic scan of the power versus voltage characteristic at the input of the inverter.
在光伏应用中,在不匹配条件下,采用最大功率点跟踪(MPPT)技术不仅可以调节阵列光伏模块的电压,还可以调节逆变器的直流输入电压,以便向电网注入最大的可用能量。这种技术可以被认为是一种混合MPPT (Hybrid MPPT)技术,它既不只是分布在光伏阵列的光伏模块上,也不只是集中在逆变器的输入端。本文提出并讨论了一种新的HMPPT技术。其主要优点是MPPT效率高,跟踪速度快,通过快速估计光伏组件和逆变器的最大功率电压。将该方法与基于Perturb & Observe技术耦合应用于光伏组件上的一种方法,以及一种由中央逆变器控制器基于逆变器输入端功率电压特性周期性扫描进行的合适的集中式MPPT技术进行了比较。
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引用次数: 17
Innovation examples for ecological vehicles based on aerospace research 基于航天研究的生态交通工具创新实例
M. Schier, F. Rinderknecht
In this paper innovative technologies from the aerospace research are presented, which are usable for a successful electric mobility of the future. They represent a selection of the German aerospace center research projects, where synergies between space and aviation applications as well as between rail and road traffic applications are used. The work relates to the fields of vehicle-energy concepts, alternative energy converters and lightweight design. Within the individual development projects hardware demonstrators were created and are shown here.
本文介绍了来自航空航天研究的创新技术,这些技术可用于未来成功的电动交通。它们是德国航空航天中心研究项目的精选,其中利用了空间和航空应用之间以及铁路和公路交通应用之间的协同作用。这项工作涉及车辆能源概念、替代能源转换器和轻量化设计等领域。在各个开发项目中创建了硬件演示,如下所示。
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引用次数: 6
Flywheel energy storage system with induction machine associated to a variable-speed wind generator 与变速风力发电机相连接的感应电机飞轮储能系统
S. Belfedhal, E. Berkouk, S. Kouadria, Y. Meslem
A serious problem of wind power generated is due to the important wind fluctuation. So, an energy storage system must be associated with the wind generator in the aim to improve the electric power quality and to increase the level of penetration in the network; in this paper a flywheel energy storage system (FESS) is considered. It is well adapted because of its high dynamic, long lifetime and good efficiency. A speed control of the FESS associated to a variable speed wind generator (VSWG) based on a doubly fed induction generator (DFIG) is investigated. FESS consists of a power electronic converter supplying a squirrel-cage induction machine coupled to a flywheel. In order to validate the control method, the model of the system is simulated for different wind generator operating modes.
风力发电的一个严重问题是由于重要的风力波动。因此,为了改善电能质量和提高电网的渗透水平,必须将储能系统与风力发电机相结合;本文研究了飞轮储能系统(FESS)。它具有动力大、寿命长、效率高等特点,具有良好的适应性。研究了基于双馈感应发电机(DFIG)的变速风力发电机FESS的速度控制问题。FESS由电力电子变换器组成,为鼠笼式感应电机提供电源,并与飞轮耦合。为了验证该控制方法的有效性,对不同的风力发电机组运行模式下的系统模型进行了仿真。
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引用次数: 5
Dimensioning the equipment of a wave farm: Energy storage and cables 波浪电场设备的尺寸:能量储存和电缆
A. Blavette, D. O'Sullivan, Tony W. Lewis, Michael G. Egan
Still largely untapped, wave energy is particularly abundant and may represent an important share in the energy mix of many countries in the future. However, the power fluctuations generated by most wave energy converters with little to no storage means or without suitable control strategies may deteriorate the power quality of the local network to which wave farms will be connected. They may in particular generate an excessive level of flicker. The minimum amount of storage required for a wave farm to be grid compliant with respect to typical flicker requirements was investigated and is presented in the first part of this study. Besides giving rise to power quality issues, the rapid and high amplitude power peaks generated by wave devices may also render more complex the optimal dimensioning of the wave farm electrical components, whose cost is highly dependent on their power rating. This statement applies also to submarine cables, as the maximum current flowing potentially through them seems to be no longer a relevant criterion for determining their optimal current rating. Hence, the second part of the presented study focuses on the minimum current rating required from a submarine cable to avoid its thermal overloading.
波浪能在很大程度上仍未被开发,但其储量特别丰富,未来可能在许多国家的能源结构中占据重要份额。然而,大多数波浪能转换器产生的功率波动很少或没有存储手段或没有适当的控制策略,可能会使波浪场连接的本地网络的电能质量恶化。它们尤其可能产生过度的闪烁。在本研究的第一部分中,研究了符合典型闪烁要求的波浪电场所需的最小存储量。除了引起电能质量问题外,波浪装置产生的快速和高振幅功率峰值也可能使波浪电场电气元件的最佳尺寸变得更加复杂,其成本高度依赖于它们的额定功率。这种说法也适用于海底电缆,因为潜在流过它们的最大电流似乎不再是确定其最佳额定电流的相关标准。因此,本研究的第二部分侧重于海底电缆所需的最小额定电流,以避免其热过载。
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引用次数: 0
A new strategy for the identification of the optimal operating points in PV applications with Distributed MPPT 基于分布式MPPT的光伏电站最佳工作点识别新策略
M. Balato, M. Vitelli
In this paper, a new control strategy allowing to optimize the performances of PV systems adopting Distributed Maximum Power Point Tracking (DMPPT), is presented and discussed. It is based on the estimate of the optimal operating range of the inverter input voltage and of the optimal operating voltages of the PV modules. The main advantage of the proposed technique is represented by the fast identification of a set of operating points for the inverter and for the PV modules, which allows to obtain a marked increase of the speed of tracking both of the inverter and of the DC/DC converters performing the DMPPT function. Moreover, a further advantage is represented by the possibility to avoid that, due to mistakes of the inverter MPPT technique, the operating value of the inverter input voltage remains trapped in the neighborhood of a suboptimal operating point.
本文提出并讨论了一种采用分布式最大功率点跟踪(DMPPT)优化光伏系统性能的新控制策略。它是基于对逆变器输入电压的最佳工作范围和光伏组件的最佳工作电压的估计。所提出的技术的主要优点是可以快速识别逆变器和光伏模块的一组工作点,这使得跟踪逆变器和执行DMPPT功能的DC/DC变换器的速度显着增加。此外,另一个优点是可以避免由于逆变器MPPT技术的错误而导致逆变器输入电压的工作值仍然被困在次优工作点的邻域。
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引用次数: 7
Force and torque calculation methods for airgap windings in permanent magnet machines 永磁电机气隙绕组的力和转矩计算方法
S. Jumayev, A. Borisavljevic, K. Boynov, Elena A. Lomonova, Juha Pyrhonen
Methods for force and torque calculations in permanent magnet (PM) machines with airgap windings are studied. Both analytical and numerical methods are applied to calculate the Lorentz force. The presented methods are applicable to various winding types and allow evaluating the geometry quickly. For a comparison of the methods a rhombic winding has been selected as a test case.
研究了气隙绕组永磁电机的力和转矩计算方法。本文采用解析法和数值法计算洛伦兹力。所提出的方法适用于各种绕组类型,并且可以快速评估几何形状。为了比较这些方法,我们选择了菱形绕组作为测试用例。
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引用次数: 0
期刊
2013 Eighth International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER)
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