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2013 IEEE Transportation Electrification Conference and Expo (ITEC)最新文献

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Model reference adaptive system-based speed estimators for sensorless control of interior permanent magnet synchronous machines 基于模型参考自适应系统的内部永磁同步电机无传感器控制速度估计
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6574514
Yue Zhao, W. Qiao, Long Wu
In this work, speed estimators are designed based on a model reference adaptive system (MRAS) for sensorless control of interior permanent magnet synchronous machines (IPMSMs). To provide better filtering performance and reduce the noise contents in the estimated speed, an adaptive line enhancer is proposed to work with a sliding-mode observer to provide an improved reference model for speed estimation. In addition, a heterodyning speed adaption scheme is proposed to replace the conventional speed adaption mechanism. The proposed MRAS-based speed estimator has two different operating modes, which are suitable for generator- and motor-type applications, respectively. The effectiveness of the proposed speed estimators are verified by simulation using real-word vehicle data logged from a test vehicle. Furthermore, experimental results on a test stand for a heavy-duty IPMSM are also provided.
本文设计了一种基于模型参考自适应系统(MRAS)的速度估计器,用于内部永磁同步电机(ipmms)无传感器控制。为了提供更好的滤波性能和降低估计速度中的噪声含量,提出了一种自适应线路增强器与滑模观测器一起工作,为速度估计提供了改进的参考模型。此外,提出了一种外差速度自适应方案来取代传统的速度自适应机制。所提出的基于mras的速度估计器有两种不同的工作模式,分别适用于发电机和电机类型的应用。利用测试车辆记录的实时车辆数据进行仿真,验证了所提出的速度估计器的有效性。文中还给出了某重型永磁同步电动机试验台的试验结果。
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引用次数: 10
Electric go-kart with battery-ultracapacitor hybrid energy storage system 带有电池-超级电容器混合储能系统的电动卡丁车
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6573499
W. Avelino, F. S. Garcia, A. A. Ferreira, J. Pomilio
An electric go-kart was designed and built. It uses a hybrid energy storage system composed of a battery and an ultracapacitor. To integrate the two energy storage devices, a multiple-input DC-DC converter was used to implement a control strategy that divides the power between them. The main objectives of using ultracapacitors in complement to batteries are: improving performance (i.e. acceleration), increase the system efficiency (including through the use of more regenerative braking) and extend the battery life. This paper presents the design of the electric go-kart and the experimental results obtained with the prototype.
设计并制造了一辆电动卡丁车。它使用由电池和超级电容器组成的混合储能系统。为了集成两个储能装置,采用多输入DC-DC变换器实现了在两者之间分配功率的控制策略。使用超级电容器补充电池的主要目标是:提高性能(即加速),提高系统效率(包括通过使用更多的再生制动),延长电池寿命。本文介绍了电动卡丁车的设计和样机的实验结果。
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引用次数: 10
Hybrid data-based/model-based inter-turn fault detection methods for PM drives with manufacturing faults 带有制造故障的永磁驱动转间故障混合检测方法
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6574517
N. Leboeuf, T. Boileau, B. Nahid-Mobarakeh, N. Takorabet, F. Meibody-Tabar, G. Clerc
In this paper, improved online inter-turn fault detection methods are proposed in order to take into account some design specifications related to recent Permanent Magnet Synchronous Machine (PMSM) topologies having modular stator combined with Fractionnal Slot Concentrated Winding (FSCW). This winding allows compact PM motor mainly by reducing end windings. It is often associated with segmented stator in order to simplify the construction of the motor as in the case of Electro-Mechanical Actuators (EMA). This technique may lead to the presence of manufacturing faults such as additional air gaps between the various parts of the modular stator. This urges users to consider complex models of PMSM far removed from classical dq models. Consequently, undesirable harmonics, torque ripples can interfere with fault detection such as inter-turn fault detection algorithms. This paper proposes invasive methods interacting with PMSM control using both model-based and data-based methods in order to take into account these aspects for control and online inter-turn fault detection. Various experimental tests on an industrial EMA prototype validate the effectiveness of the proposed solution.
本文考虑到目前永磁同步电机(PMSM)的模块化定子与分数槽集中绕组(FSCW)相结合的拓扑结构的一些设计规范,提出了改进的在线匝间故障检测方法。这种绕组允许紧凑的永磁电机主要是通过减少端绕组。它通常与分段定子相关联,以便简化电机的结构,如机电致动器(EMA)。这种技术可能导致制造故障的存在,例如模块定子的各个部分之间存在额外的气隙。这促使用户考虑远离经典dq模型的PMSM复杂模型。因此,不希望的谐波,转矩波纹会干扰故障检测,如匝间故障检测算法。本文提出了基于模型和基于数据的侵入式控制与PMSM控制交互的方法,以便在控制和在线匝间故障检测中考虑到这些方面。在工业EMA原型上进行的各种实验测试验证了所提出解决方案的有效性。
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引用次数: 4
Development of a predictive model for Regenerative Braking System 再生制动系统预测模型的建立
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6573497
Andrea Caratti, Gabriele Catacchio, Carlo Gambino, N. Kar
The basic problem that this project addresses is the recovery of the kinetic energy lost during braking in a conventional vehicle. With Regenerative Braking Systems (RBS) it is possible to slow a vehicle down by converting its kinetic energy into electric energy, which can be either used immediately or stored until needed. This contrasts with conventional braking systems, where the excess kinetic energy is converted into heat by friction and wasted into the environment. In hybrid electric vehicles, the regenerative braking action is performed using the electric motor as a generator. In this way the energy from the wheels is converted from kinetic into electric and the magnetic friction between the rotor and the stator windings provides the braking effect. The aim of this study is to design a model of an electric system that allows converting the kinetic energy and storing it into a high voltage battery. The powertrain configurations investigated in this project are the mild and full hybrids, in which the internal combustion engine is coupled with an electric motor, able to provide a start/stop and a power assist functions in addition to the regenerative braking actions. The final result of the study is represented by a tool that has been implemented into Matlab® in order to predict the time variation of the electric quantities in a vehicle performing the New European Driving Cycle. This model also offers a predictive tool for dimensioning the main components of the system, according to the target electric parameters. Finally, the improvements that such a system could give in terms of efficiency, fuel consumption and emissions reduction have been analyzed. With respect to the existing models, this approach requires few main input parameters to characterize the RBS, resulting in a higher flexibility and a wider range of application.
该项目解决的基本问题是恢复传统车辆制动过程中失去的动能。有了再生制动系统(RBS),就有可能通过将动能转化为电能来减缓车辆的速度,这些电能可以立即使用,也可以储存起来,直到需要的时候再使用。这与传统的制动系统形成对比,在传统的制动系统中,多余的动能通过摩擦转化为热量并浪费在环境中。在混合动力汽车中,再生制动动作是利用电动机作为发电机来完成的。通过这种方式,来自车轮的能量从动能转化为电能,转子和定子绕组之间的磁摩擦提供了制动效果。这项研究的目的是设计一个电力系统模型,可以将动能转换并存储到高压电池中。该项目研究的动力系统配置为轻度和全混合动力,其中内燃机与电动机相结合,除了再生制动动作外,还能提供启动/停止和动力辅助功能。研究的最终结果由一个工具表示,该工具已在Matlab®中实现,以预测执行新欧洲驾驶循环的车辆中电量的时间变化。该模型还为根据目标电气参数确定系统主要部件的尺寸提供了预测工具。最后,分析了该系统在效率、燃料消耗和减排方面的改进。相对于现有的模型,这种方法需要很少的主要输入参数来描述RBS,从而具有更高的灵活性和更广泛的应用范围。
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引用次数: 15
Electrical bearing damage — A lurking problem in inverter-driven traction motors 电气轴承损坏——变频器驱动牵引电动机的一个潜在问题
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6573484
A. Willwerth, M. Roman
With the increasing use of inverter-controlled traction motor systems in electric rail, road, and off-road vehicles, protecting motor bearings will become a key requirement for reliability. Partial mitigation measures against inverter-induced electrical bearing damage can merely shift the damage to gearbox bearings and create more maintenance headaches. In some vehicles, stray currents can also cause electromagnetic interference (EMI) and/or radio frequency interference (RFI) that can jeopardize electronic control systems. The best long-term solution is a contact/noncontact motor shaft grounding ring that works in the unique electric vehicle environment of high revolutions per minute (r/min), rapid acceleration, etc.
随着变频控制牵引电机系统在铁路、公路和越野车辆中的应用越来越多,保护电机轴承将成为可靠性的关键要求。针对逆变器引起的电气轴承损坏的部分缓解措施只能将损坏转移到齿轮箱轴承上,并造成更多的维护问题。在某些车辆中,杂散电流还会引起电磁干扰(EMI)和/或射频干扰(RFI),从而危及电子控制系统。最佳的长期解决方案是接触式/非接触式电机轴接地环,该接地环可在每分钟高转数(r/min),快速加速等独特的电动汽车环境中工作。
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引用次数: 26
Study of permanent magnet machine based flywheel energy storage system for peaking power series hybrid vehicle control strategy 基于永磁电机的飞轮储能系统对调峰功率串联混合动力汽车的控制策略研究
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6573470
Xiaomin Lu, K. Iyer, K. Mukherjee, N. Kar
Transit agencies are increasingly focused on making bus fleets cleaner, more efficient and cost effective by incorporating new clean propulsion technologies. Increased maintenance cost and lower lifetime of battery packs in existing hybrid electric buses have been major bottlenecks in motivating transit bus operators to rapidly switch to this energy efficient technology. Understanding the demerits of the current battery based energy storage technology and merits of the prospective flywheel based energy storage technology for transit bus application, this paper puts an effort to study the permanent magnet synchronous machine based flywheel energy storage system for the aforementioned application. A series transit hybrid bus with peaking vehicle control strategy has been taken into consideration with a macro objective to compare the performance of the battery based and flywheel based hybrid transit bus in terms of fuel consumption and cost of the installed system. However, the focus of this paper remains on the development and study of a 100 kW flywheel energy storage system based on vector control technique which forms the first step towards this macro objective.
交通运输机构越来越关注通过采用新的清洁推进技术,使公交车队更清洁、更高效、更经济。现有混合动力公交车的维护成本增加,电池组寿命缩短,这是促使公交运营商迅速转向这种节能技术的主要瓶颈。了解当前基于电池的储能技术的不足和基于飞轮的储能技术在公交汽车应用前景的优点,本文对基于永磁同步电机的飞轮储能系统进行了研究。以一种采用调峰控制策略的串联混合动力客车为研究对象,从燃油消耗和安装系统成本两方面对电池混合动力客车和飞轮混合动力客车进行了宏观比较。然而,本文的重点仍然是基于矢量控制技术的100千瓦飞轮储能系统的开发和研究,这是实现这一宏观目标的第一步。
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引用次数: 9
System identification of permanent magnet machines and its applications to inter-turn fault detection 永磁电机系统辨识及其在匝间故障检测中的应用
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6573486
Dusan Progovac, L. Wang, G. Yin
Permanent magnet machines are of high power density, high efficiency, small weight, and high reliability, and hence have found extensive applications. This paper employs system identification methods for stator winding fault detection and isolation, under noisy measurement data. Algorithms, estimation accuracy, and convergence properties are established. Simulation studies demonstrate the algorithms and their detection capability and reliability. Simulation results are used to illustrate potential usage of the methods.
永磁电机具有功率密度高、效率高、重量小、可靠性高等特点,具有广泛的应用前景。本文采用系统识别方法在噪声测量数据下对定子绕组进行故障检测和隔离。建立了算法、估计精度和收敛性。仿真研究验证了该算法的检测能力和可靠性。仿真结果说明了这些方法的潜在用途。
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引用次数: 6
Degraded control strategy using state-of-health in fuel cell hybrid electric vehicles 基于健康状态的燃料电池混合动力汽车退化控制策略
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6573498
S. Faivre, A. Ravey, A. Djerdir, D. Bouquain
This paper presents a new approach concerning degraded conditions of energy converters in fuel cell hybrid electrical vehicles (FCHEVs) powertrain. After introducing weak points and systems of such powertrain and previous proposals boundaries, a solution, based on an adaptive power split control strategy is presented. This approach relies on energy and power sources state-of-health (SoH). SoH input is added to an existing fuzzy logic controller, in order to prevent an out-of-operation fault. Simulations results for different scenarios using real driving cycles are presented and discussed.
针对燃料电池混合动力汽车动力系统中能量转换器的退化问题,提出了一种新的研究方法。在介绍了这种动力系统的弱点和系统以及前人提出的边界后,提出了一种基于自适应功率分割控制策略的解决方案。这种方法依赖于能源和电源的健康状态(SoH)。将SoH输入添加到现有的模糊逻辑控制器中,以防止故障的发生。给出并讨论了不同工况下真实工况下的仿真结果。
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引用次数: 3
PEV demand flexibility and its impact on the electric power system 电动汽车需求灵活性及其对电力系统的影响
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6574500
Mahdi Kefayati, R. Baldick
Transportation is one of the major consumer of energy in US and around the world. According to the latest Department of Energy (DOE) Transportation Data Book [1], 27.8% of total US energy consumption is attributed to transportation. Of this amount, 58.9% is consumed by cars and light duty trucks to make up 16.4% of total energy consumed by Americans. To put this in perspective, according to DOE energy usage estimates [2] 39.2% of energy consumed in US is spent for electricity generation.
在美国和世界范围内,交通运输是能源的主要消耗者之一。根据最新的美国能源部(DOE)交通数据手册[1],美国总能源消耗的27.8%来自交通运输。其中,汽车和轻型卡车消耗了58.9%,占美国人总能源消耗的16.4%。从这个角度来看,根据美国能源部的能源使用估计[2],美国消耗的能源中有39.2%用于发电。
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引用次数: 2
Loss modeling and comparison of VSI and RB-IGBT based CSI in traction drive applications 基于VSI和RB-IGBT的CSI在牵引传动中的损耗建模与比较
Pub Date : 2013-06-16 DOI: 10.1109/ITEC.2013.6574515
G. Su, P. Ning
This paper presents a study of loss modeling and comparison of a voltage source inverter (VSI) with a boost/buck converter and a current source inverter (CSI) with a V-I converter for electric vehicle (EV) traction drive applications. A comparison of the inverter losses for controlling an interior permanent magnet motor in an EV under two US EPA driving schedules is carried out. The results indicate the CSI using the currently available reverse-blocking (RB) IGBTs has lower losses for most of the vehicle operating points over the aggressive driving schedule, resulting in a reduction of 18.8 % in the accumulated energy loss at the end of the test cycle, while for the other less aggressive schedule a moderate reduction of 7.3 % is achieved.
本文研究了用于电动汽车(EV)牵引驱动应用的电压源逆变器(VSI)的升压/降压变换器和电流源逆变器(CSI)的V-I变换器的损耗建模和比较。比较了两种美国EPA驱动计划下电动汽车控制内部永磁电机的逆变器损耗。结果表明,与激进驾驶计划相比,使用当前可用的反向阻塞(RB) igbt的CSI在大多数车辆操作点上的损失更低,导致测试周期结束时累积能量损失减少18.8%,而对于其他不那么激进的计划,则实现了7.3%的适度减少。
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引用次数: 29
期刊
2013 IEEE Transportation Electrification Conference and Expo (ITEC)
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