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2021 IEEE Applied Power Electronics Conference and Exposition (APEC)最新文献

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Design, Implementation, and Evaluation of High-Efficiency High-Power Radio-Frequency Inductors 高效率、高功率射频电感器的设计、实现与评估
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487301
Roderick S. Bayliss, Rachel S. Yang, Alex J. Hanson, C. Sullivan, D. Perreault
Radio-Frequency (RF) power inductors are critical to many applications such as communications, RF heating, and plasma generation for semiconductor processing. Their high loss and large size can often be major contributors to the overall system size and loss. Inductors for high frequency and high power (e.g., tens of MHz and hundreds of watts and above) have traditionally been implemented as air-core solenoids to avoid high-frequency core loss. These designs have more turns than magnetic-core inductors and thus high copper loss. We propose a magnetic-core inductor design approach that leverages NiZn ferrites with low loss at RF, distributed gaps and field balancing to achieve improved performance at tens of MHz and at hundreds of watts and above. We demonstrate this approach with a 13.56 MHz, 500 nH, 80 Apk magnetic-core inductor design for a plasma generation matching network that achieves a quality factor of >1800 in simulation and >1100 experimentally. Additionally, we describe the difficulties in experimentally measuring inductor quality factors with very high current and very low loss at high frequency.
射频(RF)功率电感对许多应用至关重要,如通信、射频加热和半导体加工的等离子体产生。它们的高损耗和大尺寸通常是整个系统的大小和损耗的主要贡献者。用于高频和高功率(例如,数十兆赫和数百瓦及以上)的电感器传统上采用空芯螺线管来实现,以避免高频磁芯损耗。这些设计比磁芯电感有更多的匝数,因此铜损耗高。我们提出了一种磁芯电感设计方法,该方法利用具有RF低损耗、分布间隙和场平衡的NiZn铁氧体,在数十MHz和数百瓦及以上的情况下实现改进的性能。我们用13.56 MHz, 500 nH, 80 Apk的磁芯电感器设计了一个等离子体生成匹配网络,该网络的仿真质量因子>1800,实验质量因子>1100。此外,我们还描述了在高频情况下,用非常大的电流和非常低的损耗来实验测量电感质量因数的困难。
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引用次数: 4
A More Accurate Power MOSFET Current Mirror Sensing Scheme in Synchronous Buck Converters 同步降压变换器中一种更精确的功率MOSFET电流镜像传感方案
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487040
Wenkang Huang, D. Clavette, Mudassar Khatib
This paper presents a current-mirror sensing scheme for high-current trench MOSFETs in synchronous buck converters and implements in a three-die PQFN package capable of delivering 70-A current per phase. Current signal accuracy is critical in high-current multiphase converters that power CPUs, GPUs, DDR memories, and FPGAs in high-performance computers and artificial intelligence systems, since the current information is used not only in optimization of computer system performance and adaptive voltage positioning but also for current sharing between multiple phases and converter over-current protection. Inductor DCR and MOSFET RDS(on) current sensing methods have been used in synchronous buck converters for more than a decade, but the current sensing accuracy is limited to +/-10% and +/-5% respectively and becomes even worse when application conditions vary in wider ranges. Higher current reporting accuracy of the MOSFET current mirror sensing is experimentally verified using multiple synchronous buck converter boards, which are built to measure current sensing error of each power stage and to determine distribution of system current reporting tolerance. Smaller than +/-3%, 3-sigma current error is achieved over wide application ranges of ambient temperature and MOSFET gate drive voltage.
本文提出了一种用于同步降压变换器中大电流沟槽mosfet的电流反射传感方案,并实现了一个每相能提供70 a电流的三晶PQFN封装。电流信号的准确性对于高性能计算机和人工智能系统中为cpu、gpu、DDR存储器和fpga供电的大电流多相转换器至关重要,因为电流信息不仅用于优化计算机系统性能和自适应电压定位,还用于多相电流共享和转换器过流保护。电感式DCR和MOSFET的RDS(on)电流传感方法已经在同步降压变换器中使用了十多年,但是电流传感精度分别限制在+/-10%和+/-5%,并且当应用条件在更大范围内变化时变得更差。利用多个同步降压变换器板,通过实验验证了MOSFET电流镜像传感具有较高的电流报告精度,这些板用于测量每个功率级的电流传感误差,并确定系统电流报告容限的分布。在环境温度和MOSFET栅极驱动电压的广泛应用范围内,电流误差小于+/-3%,达到3 σ。
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引用次数: 2
Design and Implementation of a Stepped Air-Gap Inductor for Buck Converters 降压变换器用阶梯式气隙电感的设计与实现
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487053
Yu-Chen Liu, Meng-Chi Tsai, Ying-Jiun Chen, Katherine A. Kim, Chen Chen, N. A. Dung
This paper proposes the design and implementation of an inductor with a stepped air-gap for a buck converter with improved feedback control. Typically, a power converter needs to maintain stable operation during any load transient. When designing the compensator for a converter according to the traditional method for continuous conduction mode (CCM), the same compensator is employed from light load to full load, which leads to poor response at some operating points, especially at light load. To achieve a better system response, a stepped air-gap inductor is proposed to increase the inductance at light load, which is analyzed and compared with a traditional inductor. The proposed stepped air-gap inductor reduces the influence of the magnetic flux leakage on the winding. The effect of having two different inductance values on the controller design is discussed, and the conditions for discontinuous conduction mode (DCM) at light load with the stepped air-gap inductor are outlined. A 48-V to 12-V buck converter rated for 60 W is built and tested to verify the proposed stepped air-gap inductor. With the proposed stepped air-gap inductor, experimental results show that undershoot and overshoot were improved 50% and settling time was decreased to 20% and 30% during light-to-full load transients, compared to the traditional inductor. Hence, the proposed stepped air-gap inductor can effectively improve system response.
本文提出了一种用于改进反馈控制的降压变换器的阶梯式气隙电感器的设计和实现。通常,电源转换器需要在任何负载暂态期间保持稳定运行。根据传统的连续导通模式(CCM)方法设计变换器的补偿器时,从轻载到满载都采用相同的补偿器,导致某些工作点的响应较差,特别是在轻载时。为了获得更好的系统响应,提出了一种阶梯式气隙电感来增加轻载时的电感,并与传统电感进行了分析和比较。所提出的阶梯式气隙电感减小了漏磁对绕组的影响。讨论了两种不同电感值对控制器设计的影响,并概述了阶梯式气隙电感在轻载时产生断续导通模式的条件。建立了一个额定功率为60w的48v到12v降压变换器,并进行了测试,以验证所提出的阶梯式气隙电感。实验结果表明,与传统电感相比,该电感在轻负载到满载瞬态的过调量和欠调量分别提高了50%,稳定时间分别减少了20%和30%。因此,所提出的阶梯式气隙电感可以有效地改善系统的响应。
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引用次数: 0
Analysis and Implementation of a cm-Scale Switched Capacitor Converter for Low Power, Kilovolt-Range Applications 用于低功率、千伏范围应用的厘米级开关电容变换器的分析与实现
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487330
Bahlakoana Mabetha, Yanqiao Li, Benjamin L. Dobbins, J. Stauth
This paper explores the design and implementation of a cm-scale switched capacitor (SC) converter with a kilovolt range output, such as could be used for driving electrostatic, piezoelectric, or dielectric elastomer electromechanical transducers. The design uses a two-stage power conversion approach: a first stage, two-channel series parallel (SP) converter boosts a low-voltage input (e.g. stacked Li-ion cells) by 16x; a second stage symmetric ladder converter boosts the differential series-parallel output by ~10x, providing capabilities to reach voltages in the kV range. The first stage uses a pseudo-soft-charging switching scheme to reduce charge sharing loss and recover energy in parasitic (e.g. bottom-plate) capacitances without the use of an inductor. The implementation optimizes the use of discrete components and represents a scalable design while maintaining a small form factor. The first stage integrated circuit is implemented in 650V SOI CMOS with a die area of 10 mm2; the second stage printed circuit board design uses discrete components with board area < 50 mm2. The converter provides conversion ratio VCR up to 150, peak efficiency ~ 80%, and output power up to 50 mW. Efficient regulation is demonstrated by using a mixture of frequency and digital adjustment of the first stage switching sequence.
本文探讨了一种具有千伏输出范围的厘米级开关电容(SC)变换器的设计和实现,例如可用于驱动静电,压电或介电弹性体机电换能器。该设计采用两级功率转换方法:第一级,双通道串并联(SP)转换器将低压输入(例如堆叠的锂离子电池)提高16倍;第二级对称梯形变换器将差分串并联输出提高约10倍,提供达到kV范围内电压的能力。第一阶段使用伪软充电开关方案,以减少电荷共享损失,并在寄生(如底板)电容中回收能量,而无需使用电感。该实现优化了离散组件的使用,并在保持小尺寸的同时代表了可扩展的设计。第一级集成电路采用650V SOI CMOS实现,芯片面积为10 mm2;第二阶段印刷电路板设计使用电路板面积< 50 mm2的分立元件。转换器提供高达150的转化率VCR,峰值效率~ 80%,输出功率高达50 mW。有效的调节被证明是使用混合频率和数字调整的第一级开关序列。
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引用次数: 3
Condition Monitoring of DC-Link Capacitors Using Hidden Markov Model Supported-Convolutional Neural Network 基于隐马尔可夫模型支持卷积神经网络的直流电容状态监测
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487107
Tyler McGrew, V. Sysoeva, Chi-Hao Cheng, Mark Scott
Non-invasive condition monitoring techniques have been developed for various electrical components within different power electronic topologies in order to increase reliability and decrease maintenance costs for these systems. DC-link capacitors are a component of particular attention for these condition monitoring systems due to their outsized effect on cost, size, and failure rate for power electronic converters. A non-invasive, online condition monitoring system is proposed in this paper which estimates the health of the MPPF DC-link capacitor within a 3-phase inverter. Current measurements are collected using a current transducer (CT) on the DC-bus, and a novel condition monitoring method of time-frequency image classification is used to analyze high frequency electromagnetic interference (EMI) content around 15-43 MHz. The proposed system uses a continuous wavelet transform (CWT), convolutional neural network (CNN), and Hidden Markov Model (HMM) to classify DC-link capacitor health into one of five stages with 99.9% accuracy.
为了提高系统的可靠性和降低维护成本,针对不同电力电子拓扑结构中的各种电气元件开发了非侵入性状态监测技术。由于直流链路电容器对电力电子转换器的成本、尺寸和故障率的巨大影响,因此直流链路电容器是这些状态监测系统特别关注的组件。本文提出了一种非侵入式在线状态监测系统,用于对三相逆变器中MPPF直流链路电容的健康状况进行估计。利用直流母线上的电流传感器(CT)采集电流测量值,采用时频图像分类的新型状态监测方法分析15-43 MHz左右的高频电磁干扰(EMI)含量。该系统使用连续小波变换(CWT)、卷积神经网络(CNN)和隐马尔可夫模型(HMM)将直流链路电容器健康分为五个阶段之一,准确率为99.9%。
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引用次数: 2
An auto-regressive model for battery voltage prediction 电池电压预测的自回归模型
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487060
S. B. Vilsen, D. Stroe
Accurate modelling of the dynamic behaviour of Lithium-ion (Li-ion) batteries is important in a wide range of scenarios from the determination of appropriate battery-pack size, to battery balancing and state estimation in battery management systems. The prevailing methods used in voltage prediction are the equivalent electrical circuit (EEC) models. EEC models account for the change in the voltage by a series of resistor capacitor networks to mimic the internal resistance of a battery. Thus, given a change in current the EEC models create an appropriate change in the voltage. The downside is that the parameters of the model needs to be fully characterised, across the entire range of usage and life of the battery. This is both time consuming and expensive. In this paper, a linear auto-regressive (AR) process is proposed to account for the short-term dynamic behaviour of the battery cell, allowing for accurate prediction of the voltage given other measurable parameters such as current and temperature. After conducting a sensitivity analysis on the size of the sequence needed to train the AR model, it was found that less than a days worth of raw measurements data is enough to offer a better voltage prediction than a traditional EEC model (the root mean square errors of the two considered voltage estimation approaches were 0.00157 and 0.0133 V, respectively).
从确定合适的电池组尺寸到电池平衡和电池管理系统中的状态估计,锂离子(Li-ion)电池动态行为的准确建模在广泛的场景中都很重要。电压预测常用的方法是等效电路(EEC)模型。EEC模型通过一系列电阻电容器网络来模拟电池的内阻,从而解释电压的变化。因此,给定电流的变化,EEC模型会产生适当的电压变化。缺点是,该模型的参数需要在整个使用范围和电池寿命范围内得到充分表征。这既耗时又昂贵。在本文中,提出了一个线性自回归(AR)过程来考虑电池的短期动态行为,允许在给定其他可测量参数(如电流和温度)的情况下准确预测电压。在对训练AR模型所需的序列大小进行敏感性分析后,发现不到一天的原始测量数据足以提供比传统EEC模型更好的电压预测(两种考虑的电压估计方法的均方根误差分别为0.00157和0.0133 V)。
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引用次数: 0
A Novel Decoupling Control of Dual Three Phase Drive with Two Independent Microprocessors Utilizing Current Observer 基于电流观测器的双相三相驱动解耦控制
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487432
Shen Wang, Kentaro Kitamura, S. Doki, Takashi Suzuki
A novel decoupling control scheme of a Dual Three Phase (DTP) Permanent Magnet Synchronous Motor (PMSM) drive with two microprocessors applying current observer is proposed in this work. Multiphase drives are considered as a viable solution for safety-critical applications, and substantial works have been conducted for this purpose. However, it should be noted that for a fault-tolerant drive, not only the machine itself should be considered, but also control executed Microcontroller Unit (MCU) Therefore, a novel configuration of an integrated fault tolerant DTP drive with two independent MCUs has become the interest of this paper. Magnetic coupling between winding sets is a big issue causing instability and dynamic deterioration. In order to implement decoupling current vector control on this particular system, an observer that estimates the other subsystem output current is proposed and utilized. Effectiveness of the proposed drive has been verified by experimental results.
提出了一种基于电流观测器的双微处理器永磁同步电动机解耦控制方案。多相驱动被认为是安全关键应用的可行解决方案,并为此目的进行了大量工作。然而,需要注意的是,对于容错驱动器,不仅要考虑机器本身,还要考虑控制执行的微控制器单元(MCU)。因此,采用两个独立MCU的集成容错DTP驱动器的新配置成为本文的兴趣所在。绕组组之间的磁耦合是引起不稳定和动态劣化的大问题。为了实现对该系统的解耦电流矢量控制,提出并利用了一个观测器来估计其他子系统的输出电流。实验结果验证了该驱动器的有效性。
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引用次数: 0
EMI Evaluation of a SiC MOSFET Module with Organic DBC Substrate 有机DBC衬底SiC MOSFET模组的电磁干扰评估
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487439
N. Rajagopal, C. Dimarino, Brian T. DeBoi, A. Lemmon, Aaron D. Brovont
This work evaluates the electromagnetic interference (EMI) of a silicon carbide (SiC) MOSFET multi-chip power module (MCPM) with emerging organic direct bonded copper (ODBC) substrates. The thin, ductile organic insulator in ODBC substrates allows for thick copper to be used. The thick Cu enables higher current capacity and improved heat spreading. However, the thin dielectric increases capacitive coupling within the power module. This work evaluates the electromagnetic interference (EMI) characteristics of a SiC half-bridge module using ODBC substrates, and compares them to a commercial SiC module using standard ceramic DBC substrates. To mitigate the effects of the ODBC module’s increased capacitive coupling, a common-mode equivalent model (CEM) is leveraged to design a unique substrate layout that enables cancellation of leakage current through the baseplate. The proposed method shows that the ODBC module can achieve over 20 dB lower baseplate leakage current compared to a commercial power module for a single-phase half-bridge inverter implementation.
本研究评估了采用新型有机直接键合铜(ODBC)衬底的碳化硅(SiC) MOSFET多芯片功率模块(MCPM)的电磁干扰(EMI)。ODBC衬底中的薄、延展性有机绝缘体允许使用厚铜。厚铜可以提高电流容量并改善散热。然而,薄电介质增加了功率模块内的电容耦合。本研究评估了使用ODBC衬底的SiC半桥模块的电磁干扰(EMI)特性,并将其与使用标准陶瓷DBC衬底的商用SiC模块进行了比较。为了减轻ODBC模块电容耦合增加的影响,利用共模等效模型(CEM)设计了独特的基板布局,可以消除通过基板的泄漏电流。所提出的方法表明,与商用功率模块相比,ODBC模块可以实现比单相半桥逆变器实现低20 dB以上的底板漏电流。
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引用次数: 8
Series Resonant DC-DC Converter with an AC-Switch-Based Full-Bridge Boost Rectifier 串联谐振DC-DC变换器与基于交流开关的全桥升压整流器
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487113
Abualkasim Bakeer, A. Chub, D. Vinnikov
This paper proposes using an ac-switch at the output side of the series resonant converter (SRC) to boost the voltage with the full-bridge diodes rectifier. The proposed converter operates at a fixed switching frequency close to the resonant frequency. The output voltage of the converter could be regulated by adjusting the duty-cycle of the ac-switch instead of the frequency modulation. The proposed circuit features the soft-switching characteristics for the primary side semiconductors and the full-bridge diode rectifier. The mathematical model of the proposed converter is developed based on the described operating modes. The experimental results are obtained using a 300 W prototype to show the feasibility of the proposed converter at different input voltage and input power range. The peak efficiency of the proposed converter equals 97% at the nominal input voltage.
本文提出在串联谐振变换器(SRC)的输出端使用交流开关,用全桥二极管整流器升压。所提出的变换器在接近谐振频率的固定开关频率下工作。该变换器的输出电压可以通过调节交流开关的占空比而不是调频来调节。该电路具有一次侧半导体和全桥二极管整流器的软开关特性。根据所描述的工作模式,建立了该变换器的数学模型。实验结果表明,在不同的输入电压和输入功率范围下,所提出的变换器是可行的。所提出的变换器在标称输入电压下的峰值效率为97%。
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引用次数: 0
Investigating the Effect of Grid Load Data on Optimal DG Placement and Capacity Determination 研究电网负荷数据对最佳DG布局和容量确定的影响
Pub Date : 2021-06-14 DOI: 10.1109/APEC42165.2021.9487221
Saeed Khademi, R. Z. Davarani, R. Fadaeinedjad, G. Moschopoulos
Grid load data is an important factor in the placement and capacity of distributed generation (DG) in grid studies. Distribution networks are the largest part of electric networks and thus have the highest share of losses due to their low voltage and wide extent. Using power generation units near load centers can reduce grid losses considerably. For this purpose, the placement and capacity of DG units must be determined in order to maximize their potential. Usually, DG placement and capacity determination is done based on annual peak load data. This study shows that network load data such as peak load, average load, and hourly load strongly affect DG placement and capacity determination, and, therefore, will affect the annual network loss and the net present cost of DG installation during its useful life. In this study, different scenarios based on the type and number of network load input data, are considered and DG placement and capacity determination is performed for the IEEE 33 bus network. In order to do load flow studies, the Matpower program in the MATLAB environment is used and a genetic algorithm is used for optimization.
在电网研究中,电网负荷数据是影响分布式发电系统布局和容量的重要因素。配电网是电网中最大的一部分,由于其电压低、范围广,因此损耗份额最高。在负荷中心附近使用发电机组可以大大减少电网损失。为此,必须确定DG单位的位置和容量,以便最大限度地发挥其潜力。通常,根据年度峰值负荷数据来确定DG的位置和容量。本研究表明,峰值负荷、平均负荷和小时负荷等网络负荷数据对DG的放置和容量的确定有很大影响,因此会影响DG在使用寿命期间的年网损和安装净现值成本。在本研究中,根据网络负载输入数据的类型和数量,考虑了不同的场景,并对IEEE 33总线网络进行了DG的放置和容量确定。为了进行潮流研究,使用了MATLAB环境下的Matpower程序,并采用遗传算法进行优化。
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引用次数: 0
期刊
2021 IEEE Applied Power Electronics Conference and Exposition (APEC)
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