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Hybrid Power Filter for Differential-Mode and Common-Mode Noise Currents 差模和共模噪声电流的混合电源滤波器
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-17 DOI: 10.1109/TCSII.2025.3610891
Yeu-Torng Yau
This brief presents a compact, single-stage hybrid power filter for AC/DC or DC/DC converters that simultaneously suppresses DM and CM noise currents through a passive current cancellation method. By integrating both DM and CM filtering functions into a single filter topology, the proposed design reduces the number of magnetic windings and simplifies construction compared to conventional multi-stage filters. Composed entirely of passive components, it avoids the complexity that active circuits usually entail, offering a reliable and efficient solution for industrial applications.
本简介介绍了一种紧凑的单级混合电源滤波器,用于AC/DC或DC/DC转换器,通过无源电流抵消方法同时抑制DM和CM噪声电流。通过将DM和CM滤波功能集成到单个滤波器拓扑中,与传统的多级滤波器相比,所提出的设计减少了磁性绕组的数量并简化了结构。它完全由无源元件组成,避免了有源电路通常带来的复杂性,为工业应用提供了可靠和高效的解决方案。
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引用次数: 0
Data-Driven State-of-Charge Estimation for Lithium-Ion Batteries Using Variational Inference 基于变分推理的锂离子电池电量状态估计
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.1109/TCSII.2025.3608185
Wei Yu;Yunfei Zheng;Shiyuan Wang
The nonlinear and time-varying characteristics of internal electronic circuits in battery systems pose challenges to the practical application of traditional state-of-charge (SOC) estimation methods. To address these challenges, we first propose a novel variational inference neural network (VINN), which combines deep neural networks with variational inference to enable accurate SOC estimation solely based on measured current, voltage, and temperature. Specifically, the proposed VINN employs an encoder to infer a latent SOC distribution from measurement inputs, and a decoder is used to reconstruct the inputs for computing the evidence lower bound (ELBO), which guides the network optimization. Meanwhile, a physics-informed loss is introduced by using Coulomb counting to derive the prior of SOC, ensuring consistency with the battery’s circuit behavior. Finally, experiments on realistic Panasonic 18650PF dataset demonstrate that VINN achieves superior estimation accuracy and generalization performance under both supervised and unsupervised settings compared to state-of-the-art methods.
电池系统内部电路的非线性和时变特性给传统的荷电状态估计方法的实际应用带来了挑战。为了应对这些挑战,我们首先提出了一种新的变分推理神经网络(VINN),它将深度神经网络与变分推理相结合,能够仅根据测量的电流、电压和温度进行准确的SOC估计。具体来说,所提出的VINN使用编码器从测量输入推断潜在SOC分布,并使用解码器重建输入以计算证据下界(ELBO),从而指导网络优化。同时,通过使用库仑计数来推导SOC的先验,引入了物理通知损耗,确保了与电池电路行为的一致性。最后,在真实的Panasonic 18650PF数据集上的实验表明,与最先进的方法相比,VINN在有监督和无监督设置下都具有更好的估计精度和泛化性能。
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引用次数: 0
Finite-Time Annular Domain H2/H∞ Filtering for Stochastic Markovian Jump Systems and Its Applications in PWM Circuits 随机马尔可夫跳变系统的有限时间环域H2/H∞滤波及其在PWM电路中的应用
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-09 DOI: 10.1109/TCSII.2025.3608010
Zhiguo Yan;Zhongxin Tong;Guolin Hu;Yunxia Song;Wenhai Qi;Jun Cheng
This brief addresses the finite-time annular domain (FTAD) $H_{2}/H_{infty }$ filtering problem for linear stochastic Markovian jump systems (SMJSs) subject to Brownian motion and Poisson noise. By adopting the mode-dependent parameter approach and leveraging the reverse differential Gronwall inequality and the Itô-Levy formula, novel sufficient conditions ensuring the existence of such $H_{2}/H_{infty }$ filter are established. This condition is much less conservative, thus greatly extending the scope of solutions. Additionally, an algorithm is designed to determine the parameter ranges and show the relationship between $H_{2}$ and $H_{infty }$ performance metrics. Finally, a PWM-driven circuit is used to demonstrate the practicality of the proposed approach.
本文简要讨论了受布朗运动和泊松噪声影响的线性随机马尔可夫跳变系统(SMJSs)的有限时间环域(FTAD) $H_{2}/H_{infty }$滤波问题。采用模相关参数法,利用逆微分Gronwall不等式和Itô-Levy公式,建立了新的$H_{2}/H_{infty }$滤波器存在的充分条件。这个条件的保守性大大降低,从而大大扩展了解的范围。此外,还设计了一种算法来确定参数范围,并显示$H_{2}$和$H_{infty }$性能指标之间的关系。最后,用pwm驱动电路演示了所提方法的实用性。
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引用次数: 0
A Voltage-Mode I/Q Switched-Capacitor Doherty Power Amplifier With Dynamic Core Scaling for Enhanced Backoff Efficiency 一种电压型I/Q开关电容Doherty功率放大器,具有动态磁芯缩放以提高回退效率
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-09 DOI: 10.1109/TCSII.2025.3607681
Nimrod Ginzberg;Emanuel Cohen
This work presents a new backoff efficiency enhancement technique for switched-capacitor power amplifiers (SCPA) that employs dynamic core size resizing enabled by a high-impedance (Hi-Z) control state. The SCPA unit cells’ size is the dynamically adjusted according to the instantaneous output power, which broadens the backoff efficiency peaking across a larger power backoff range and extend the saturated output power. The Hi-Z logic is designed so that disconnected capacitors do not remain floating. This is essential for ensuring correct capacitance ratios and impedance matching, and preventing distortion and reliability concerns due to voltage stresses and kickback effects. This concept was implemented in a voltage-mode Doherty SCPA prototype fabricated in 65 nm CMOS. The chip delivers 32% peak system efficiency (SE) at 25 dBm output power around 2.5 GHz and a 3 dB operational bandwidth of 1.7−2.8 GHz. Compared to a Class-B PA, SE improves by $1.3times $ and $1.83times $ at 3 dB and 7 dB backoff, respectively. It also achieves an error vector magnitude (EVM) of −37 dB at 14 dBm average output power for a 20 MHz OFDM Wi-Fi signal using piecewise digital predistortion.
本研究提出了一种新的开关电容功率放大器(SCPA)退退效率增强技术,该技术采用高阻抗(Hi-Z)控制状态实现的动态磁芯尺寸调整。SCPA单元电池的尺寸是根据瞬时输出功率动态调整的,在更大的功率退退范围内拓宽了退退效率峰值,延长了饱和输出功率。Hi-Z逻辑的设计使断开的电容器不会保持浮动。这对于确保正确的电容比和阻抗匹配,防止由于电压应力和反打效应引起的失真和可靠性问题至关重要。该概念在65纳米CMOS制造的电压模式Doherty SCPA原型中实现。该芯片在2.5 GHz左右的25 dBm输出功率下提供32%的峰值系统效率(SE), 3db工作带宽为1.7 ~ 2.8 GHz。与b级PA相比,SE在3db和7db后退时分别提高了1.3倍和1.83倍。它还实现了误差矢量幅度(EVM) - 37 dB在14 dBm平均输出功率的20mhz OFDM Wi-Fi信号使用分段数字预失真。
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引用次数: 0
A Reconfigurable Detuned S-LCC Compensated IPT System With Two Discrete Frequencies for Stable Power Against Coupling Variations 一种可重构失谐S-LCC补偿双离散频率IPT系统
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-08 DOI: 10.1109/TCSII.2025.3606898
Yong Wu;Ziyang Luo;Bin Yang;Zhaotian Yan;Yang Chen;Ruikun Mai
For an inductive power transfer (IPT) system, stable power transfer is one of the most crucial abilities, but coupling variations can dramatically affect the system’s output. This brief proposes a reconfigurable detuned S-LCC compensated IPT system with two discrete frequencies to mitigate power fluctuations due to coupling variations. The original detuned S-LCC topology can operate in one stable region. With the change of the primary capacitor and frequency, the equivalent ac load can be altered, which will create a new stable region. Therefore, the expected coupling range of the detuned S-LCC topology can be extended. First, a detuned S-LCC IPT system with two discrete frequencies is presented, followed by an analysis of the working modes. Then, a detailed parameter design process and switching control are introduced. Finally, a 140-W prototype was constructed to verify the validity of the proposed method. The experimental results demonstrate that the output power fluctuation of the proposed IPT system is less than 5% and the lowest efficiency can be improved from 91.5%% to 94%, with the coupling coefficient varying from 0.27 to 0.63. The proposed method does not need complicated control or dedicated coil design, and it can implement stable power transfer significantly.
对于电感式功率传输(IPT)系统来说,稳定的功率传输是最重要的能力之一,但耦合变化会极大地影响系统的输出。本文提出了一种可重构的失谐S-LCC补偿IPT系统,该系统具有两个离散频率,以减轻由于耦合变化引起的功率波动。原始失谐S-LCC拓扑可以在一个稳定区域内工作。随着主电容和频率的变化,可以改变等效交流负载,从而形成一个新的稳定区域。因此,可以扩展失谐S-LCC拓扑的期望耦合范围。首先,提出了一种具有两个离散频率的失谐S-LCC IPT系统,然后对其工作模式进行了分析。然后介绍了详细的参数设计过程和开关控制。最后,构建了一个140-W样机,验证了所提方法的有效性。实验结果表明,在耦合系数为0.27 ~ 0.63的情况下,IPT系统的输出功率波动小于5%,最低效率从91.5%提高到94%。该方法不需要复杂的控制和专用线圈设计,可以显著地实现稳定的电力传输。
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引用次数: 0
Performance Bounds for a Maxima-Sampling Envelope Detector 最大采样包络检测器的性能边界
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-02 DOI: 10.1109/TCSII.2025.3605161
Swagat Bhattacharyya
Envelope detectors in automatic gain control systems must achieve both low tracking latency and low output ripple for feedback stability. Conventional non-sampled envelope detectors intrinsically trade off latency and ripple. Maxima-sampling envelope detectors (MSEDs), which demodulate by sampling signal peaks, circumvent this latency-ripple trade-off, enabling control loops that remain stable over several frequency decades. However, MSED nonlinearity causes an intricate, previously uncharacterized interplay between input spectral properties and performance. This work analytically derives and numerically verifies input-dependent performance bounds for MSEDs. By formulating practical “rules-of-thumb” for mixed-signal circuit designers, we pave the way for the broader adoption of MSEDs.
自动增益控制系统中的包络检测器必须同时达到低跟踪延迟和低输出纹波的反馈稳定性。传统的非采样包络检测器本质上权衡了延迟和纹波。最大采样包络检测器(msed)通过采样信号峰值进行解调,规避了这种延迟纹波权衡,使控制回路在几十年的频率内保持稳定。然而,MSED非线性导致输入频谱特性和性能之间复杂的,以前未表征的相互作用。本工作解析推导并数值验证了msed的输入相关性能界限。通过为混合信号电路设计人员制定实用的“经验法则”,我们为更广泛地采用msed铺平了道路。
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引用次数: 0
Timestep-Parallel 4D Neuromorphic Computing Array Enabling High Computing Power Density and High Energy Efficiency 时间步进并行4D神经形态计算阵列,实现高计算能力密度和高能效
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-29 DOI: 10.1109/TCSII.2025.3603624
Pujun Zhou;Changhui Xiao;Liwei Meng;Qi Yu;Ning Ning;Yang Liu;Shaogang Hu;Guanchao Qiao
The timestep-based inference process of spiking neural networks (SNNs) presents two challenges for neuromorphic chip design: 1) additional storage overhead for membrane potentials, and 2) significant power consumption resulting from repeated access to computational data. To address this challenge, this work proposes a timestep-parallel 4D neuromorphic computing array of size $N_{T}times N_{Z}times N_{X}times N_{Y}$ , simultaneously enabling parallel computing in temporal and spatial dimensions. The $N_{T}$ dimension supports timestep-parallel computing, the $N_{Z}$ dimension supports neuron-parallel computing, and the $N_{X}$ and $N_{Y}$ dimensions are used for synapse-parallel computing. The architecture facilitates flexible data reuse across different dimensions (with weights reuse along different timesteps and spikes reuse along different neurons), significantly reducing storage access. Meanwhile, it treats the membrane potential as a short-term computational variable that can be stored in a small buffer, thereby eliminating large-scale membrane potential storage overhead and access. The reduction in data access and storage costs is beneficial for lowering system power consumption and enhancing synaptic energy efficiency. Ultimately, the architecture is evaluated using a 28 nm process library and demonstrates a high computing power density of 1160 GSOP/s/mm2 and a high synaptic energy efficiency of 0.36 pJ/SOP, surpassing related state-of-the-art works. This work significantly reduces the hardware cost of neuromorphic computing and is expected to enhance the competitiveness of neuromorphic hardware in contemporary artificial intelligence applications.
脉冲神经网络(SNNs)基于时间步长的推理过程为神经形态芯片设计带来了两个挑战:1)膜电位的额外存储开销;2)重复访问计算数据导致的巨大功耗。为了解决这一挑战,本工作提出了一个时间步并行的4D神经形态计算阵列,其大小为$N_{T}乘以N_{Z}乘以N_{X}乘以N_{Y}$,同时实现了时间和空间维度的并行计算。$N_{T}$维度支持时间步进并行计算,$N_{Z}$维度支持神经元并行计算,$N_{X}$和$N_{Y}$维度用于突触并行计算。该架构促进了跨不同维度的灵活数据重用(权重沿着不同的时间步重用,峰值沿着不同的神经元重用),显著减少了存储访问。同时,它将膜电位作为一个短期的计算变量,可以存储在一个小的缓冲区中,从而消除了大规模的膜电位存储开销和访问。数据存取和存储成本的降低有利于降低系统功耗和提高突触能量效率。最后,采用28nm工艺库对该架构进行了评估,结果表明该架构具有1160 GSOP/s/mm2的高计算能力密度和0.36 pJ/SOP的高突触能量效率,超过了目前的相关研究成果。这项工作显著降低了神经形态计算的硬件成本,并有望提高神经形态硬件在当代人工智能应用中的竞争力。
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引用次数: 0
IEEE Transactions on Circuits and Systems--II: Express Briefs Publication Information IEEE电路与系统汇刊——II:快报简报出版信息
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-28 DOI: 10.1109/TCSII.2025.3600132
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引用次数: 0
IEEE Circuits and Systems Society Information IEEE电路与系统学会信息
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-28 DOI: 10.1109/TCSII.2025.3600134
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引用次数: 0
Gradient-Based Optimization of MEMS Loudspeaker Equivalent Circuit Models via Automatic Differentiation 基于自动微分的MEMS扬声器等效电路模型梯度优化
IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-28 DOI: 10.1109/TCSII.2025.3603686
Oliviero Massi;Alessandro Ilic Mezza;Riccardo Giampiccolo;Lelio Casale;Alberto Bernardini
Micro-Electro-Mechanical Systems (MEMS) loudspeakers represent a promising solution to meet the growing demand for compact, portable consumer audio devices with integrated sound reproduction capabilities. In this context, the availability of accurate and computationally efficient Lumped-Element Models (LEMs) can greatly accelerate MEMS loudspeaker design and support the development of digital signal processing techniques aimed at enhancing audio performance. In this work, we propose a framework based on Automatic Differentiation (AD) to optimize the parameters of differentiable LEMs in a fully data-driven manner using standard gradient-based optimization methods. Specifically, we focus on tuning the parameters of an ad hoc linear equivalent circuit model for a commercially available MEMS loudspeaker intended for free-field applications.
微机电系统(MEMS)扬声器代表了一个很有前途的解决方案,以满足对具有集成声音再现能力的紧凑、便携式消费音频设备日益增长的需求。在这种情况下,精确且计算效率高的集总元模型(lem)的可用性可以大大加快MEMS扬声器的设计,并支持旨在提高音频性能的数字信号处理技术的发展。在这项工作中,我们提出了一个基于自动微分(AD)的框架,以完全数据驱动的方式使用标准的基于梯度的优化方法来优化可微lem的参数。具体而言,我们专注于调整用于自由场应用的市售MEMS扬声器的特设线性等效电路模型的参数。
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引用次数: 0
期刊
IEEE Transactions on Circuits and Systems II: Express Briefs
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