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21 pages, 6497 KiB  
Article
The Analysis and Research of the Integrated, 30 A MOSFET Gate Driver Dedicated to High-Frequency Applications
by Piotr Legutko
Electronics 2024, 13(16), 3225; https://doi.org/10.3390/electronics13163225 - 14 Aug 2024
Abstract
This paper presents basic properties and laboratory tests of a commercial integrated high-frequency MOSFET gate driver IXRFD631 operating in the frequency range up to 30 MHz. The MOSFET driver has been tested for two operating states: in the idle state (no load) and [...] Read more.
This paper presents basic properties and laboratory tests of a commercial integrated high-frequency MOSFET gate driver IXRFD631 operating in the frequency range up to 30 MHz. The MOSFET driver has been tested for two operating states: in the idle state (no load) and at the gate load of a DE275-501N16A series MOSFET transistors. The obtained laboratory results were compared with three other commercial integrated drivers: DEIC420, DEIC515 and IXRFD630 (which are the base structures), and two previous solutions from the author (4xUCC27516 and 8xUCC27526). Additionally, this paper presents the characteristics of power losses and efficiency, measurements of switching and propagation times of the tested gate drivers. Also, this paper presents the output voltage waveforms of the integrated driver IXRFD631 for two operating states. The integrated circuit IXRFD631 of the gate driver is characterized by an efficiency of up to 70% for the tested frequency range, the power losses for two operating states (at idle state—15 W, at gate MOSFET load—43 W) and switching times of 2 ns for an operating frequency of 30 MHz. Full article
(This article belongs to the Special Issue Applications, Control and Design of Power Electronics Converters)
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Figure 1

Figure 1
<p>The simulation model of the gate driver–MOSFET transistor subcircuit.</p>
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<p>Waveforms of the voltages and currents in the gate circuit: <span class="html-italic">v</span><sub>G</sub>, <span class="html-italic">v</span><sub>GS</sub>, <span class="html-italic">v</span><sub>CG</sub> and <span class="html-italic">i</span><sub>G</sub> current for frequencies: (<b>a</b>) 1 MHz, (<b>b</b>) 5 MHz, (<b>c</b>) 10 MHz, (<b>d</b>) 15 MHz, (<b>e</b>) 20 MHz.</p>
Full article ">Figure 2 Cont.
<p>Waveforms of the voltages and currents in the gate circuit: <span class="html-italic">v</span><sub>G</sub>, <span class="html-italic">v</span><sub>GS</sub>, <span class="html-italic">v</span><sub>CG</sub> and <span class="html-italic">i</span><sub>G</sub> current for frequencies: (<b>a</b>) 1 MHz, (<b>b</b>) 5 MHz, (<b>c</b>) 10 MHz, (<b>d</b>) 15 MHz, (<b>e</b>) 20 MHz.</p>
Full article ">Figure 2 Cont.
<p>Waveforms of the voltages and currents in the gate circuit: <span class="html-italic">v</span><sub>G</sub>, <span class="html-italic">v</span><sub>GS</sub>, <span class="html-italic">v</span><sub>CG</sub> and <span class="html-italic">i</span><sub>G</sub> current for frequencies: (<b>a</b>) 1 MHz, (<b>b</b>) 5 MHz, (<b>c</b>) 10 MHz, (<b>d</b>) 15 MHz, (<b>e</b>) 20 MHz.</p>
Full article ">Figure 3
<p>Power loss characteristics of the <span class="html-italic">P</span><sub>DR</sub> driver, <span class="html-italic">P</span><sub>G</sub> transistor gate and total <span class="html-italic">P</span><sub>DR</sub>+<span class="html-italic">P</span><sub>G</sub> driver–transistor circuit.</p>
Full article ">Figure 4
<p>Power loss characteristics of the <span class="html-italic">P</span><sub>DR</sub> driver, <span class="html-italic">P</span><sub>G</sub> transistor gate and total <span class="html-italic">P</span><sub>DR</sub> + <span class="html-italic">P</span><sub>G</sub> driver–transistor circuit at a limited voltage (<span class="html-italic">V</span><sub>CGmax</sub> = 12 V) on the equivalent gate capacitance <span class="html-italic">C</span><sub>G</sub> of the MOSFET transistor.</p>
Full article ">Figure 5
<p>The schematic diagram of the internal structure of the IXRFD631 MOSFET gate driver [<a href="#B19-electronics-13-03225" class="html-bibr">19</a>].</p>
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<p>The real photo of integrated driver IXRFD631 with description.</p>
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<p>The schematic diagram of discrete driver 8xUCC27526.</p>
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<p>The photo of discrete driver 8xUCC27526 with description.</p>
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<p>The structure of IMS material in thermal clad technology [<a href="#B21-electronics-13-03225" class="html-bibr">21</a>].</p>
Full article ">Figure 10
<p>The diagram of the measurement system used to determine power losses and efficiency of all tested MOSFET drivers. Explanation: point (a) is the driver’s no-load operation, point (b) is the work under load of the DE275-501N16A transistor gate.</p>
Full article ">Figure 11
<p>The characteristics of power losses at idle state (no load) in integrated and discrete drivers designed by oneself.</p>
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<p>The characteristics of power losses at load by the MOSFET transistor in integrated and discrete drivers designed by oneself.</p>
Full article ">Figure 13
<p>The output voltage waveforms for integrated driver IXRFD631: (<b>a</b>) at idle state (no load); (<b>b</b>) at load of gate MOSFET.</p>
Full article ">Figure 13 Cont.
<p>The output voltage waveforms for integrated driver IXRFD631: (<b>a</b>) at idle state (no load); (<b>b</b>) at load of gate MOSFET.</p>
Full article ">Figure 14
<p>The output voltage waveforms for discrete driver 8xUCC27526: (<b>a</b>) at idle state (no load); (<b>b</b>) at load of gate MOSFET.</p>
Full article ">Figure 14 Cont.
<p>The output voltage waveforms for discrete driver 8xUCC27526: (<b>a</b>) at idle state (no load); (<b>b</b>) at load of gate MOSFET.</p>
Full article ">Figure 15
<p>The photograph of thermal camera for two tested drivers: (<b>a</b>) integrated driver IXRFD631; (<b>b</b>) discrete driver 8xUCC27526 designed by oneself.</p>
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<p>The simplified measurement scheme of basic parasitic parameters of drivers.</p>
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<p>The efficiency characteristics of the tested drivers.</p>
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12 pages, 4094 KiB  
Article
High-Frequency Magnetic Pulse Generator for Low-Intensity Transcranial Magnetic Stimulation
by Seungjae Shin, Hyungeun Kim and Jinho Jeong
Electronics 2024, 13(16), 3160; https://doi.org/10.3390/electronics13163160 - 10 Aug 2024
Viewed by 258
Abstract
This paper presents a high-frequency (HF) magnetic pulse generator designed for low-intensity transcranial magnetic stimulation (LI-TMS) applications. HF pulse stimulation can induce a strong electric field with minimal current and enhance the penetration depth of the electric field in human tissue. The HF [...] Read more.
This paper presents a high-frequency (HF) magnetic pulse generator designed for low-intensity transcranial magnetic stimulation (LI-TMS) applications. HF pulse stimulation can induce a strong electric field with minimal current and enhance the penetration depth of the electric field in human tissue. The HF magnetic pulse generator was designed and fabricated using a microcontroller unit, gate driver, full-bridge coil driver, and stimulation coil. Measurements with a full-bridge circuit supply voltage of 10 V demonstrated an electric field intensity of 6.8 Vpp/m at a frequency of 1 MHz with a power dissipation of 2.45 W. Achieving a similar electric field intensity at a frequency of 100 kHz required approximately ten times the coil current. Additionally, a quasi-resonant LC load was introduced by connecting a capacitor in series with the stimulation coil, which set the resonant frequency to approximately 10% higher than the frequency of 1 MHz. This approach reduced the coil impedance, achieving higher current with the same bias supply voltage. Experimental results showed an enhanced electric field intensity of 19.1 Vpp/m with a supply voltage of only 1.8 V and reduced power dissipation of 1.11 W. The proposed HF pulse train with quasi-resonant coil system is expected to enable a low-power LI-TMS system. Full article
(This article belongs to the Section Circuit and Signal Processing)
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Figure 1

Figure 1
<p>Basic principles of the TMS system.</p>
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<p>Stimulation protocols. (<b>a</b>) Traditional theta burst stimulation. (<b>b</b>) Proposed high-frequency stimulation.</p>
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<p>Simulation of the electric field intensity in human gray matter. (<b>a</b>) Simulation structure. (<b>b</b>) Normalized <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> </mrow> </semantics></math> as a function of frequency. (<b>c</b>) Penetration depth of the electric field as a function of frequency.</p>
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<p>Block diagram of the proposed HF magnetic pulse generator.</p>
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<p>Schematic of the full-bridge circuit with boot-strapped gate driver.</p>
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<p>Simulated waveforms for the control signal (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>C</mi> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>–<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>C</mi> <mn>4</mn> </mrow> </msub> </mrow> </semantics></math>), the coil current (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>L</mi> </mrow> </msub> </mrow> </semantics></math>), and the voltage across the coil (<math display="inline"><semantics> <mrow> <mo>Δ</mo> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>L</mi> </mrow> </msub> </mrow> </semantics></math>). (<b>a</b>) Triangular current wave. (<b>b</b>) Trapezoidal current wave.</p>
Full article ">Figure 7
<p>Simulated waveforms in the full-bridge circuit with (solid) and without (dot) bypass capacitor and damping resistor for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>D</mi> <mi>D</mi> <mo>,</mo> <mi>F</mi> </mrow> </msub> </mrow> </semantics></math> = 10 V and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>D</mi> <mi>D</mi> <mo>,</mo> <mi>G</mi> <mi>D</mi> </mrow> </msub> </mrow> </semantics></math> = 5.5 V. (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>D</mi> <mi>D</mi> <mo>,</mo> <mi>F</mi> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math>, (<b>c</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>G</mi> <mi>S</mi> <mo>,</mo> <mi>U</mi> </mrow> </msub> </mrow> </semantics></math>, and (<b>e</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>L</mi> <mo>,</mo> <mi>c</mi> <mi>o</mi> <mi>i</mi> <mi>l</mi> </mrow> </msub> </mrow> </semantics></math> at 100 kHz. (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>D</mi> <mi>D</mi> <mo>,</mo> <mi>F</mi> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math>, (<b>d</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>G</mi> <mi>S</mi> <mo>,</mo> <mi>U</mi> </mrow> </msub> </mrow> </semantics></math>, and (<b>f</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>L</mi> <mo>,</mo> <mi>c</mi> <mi>o</mi> <mi>i</mi> <mi>l</mi> </mrow> </msub> </mrow> </semantics></math> at 1 MHz.</p>
Full article ">Figure 8
<p>(<b>a</b>) Fabricated HF magnetic pulse generator. (<b>b</b>) Fabricated stimulation coil.</p>
Full article ">Figure 9
<p>Measurement setup for the induced electric field intensity.</p>
Full article ">Figure 10
<p>Measured waveforms for the inductor load with DC bias voltages, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>D</mi> <mi>D</mi> <mo>,</mo> <mi>F</mi> </mrow> </msub> </mrow> </semantics></math> = 10 V and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>D</mi> <mi>D</mi> <mo>,</mo> <mi>G</mi> <mi>D</mi> </mrow> </msub> </mrow> </semantics></math> = 5.5 V. (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>L</mi> <mo>,</mo> <mi>c</mi> <mi>o</mi> <mi>i</mi> <mi>l</mi> </mrow> </msub> </mrow> </semantics></math> and (<b>c</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi>i</mi> <mi>n</mi> <mi>d</mi> </mrow> </msub> </mrow> </semantics></math> at 100 kHz. (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>L</mi> <mo>,</mo> <mi>c</mi> <mi>o</mi> <mi>i</mi> <mi>l</mi> </mrow> </msub> </mrow> </semantics></math> and (<b>d</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi>i</mi> <mi>n</mi> <mi>d</mi> </mrow> </msub> </mrow> </semantics></math> at 1 MHz.</p>
Full article ">Figure 11
<p>Measured waveforms for the quasi-resonant LC load at the frequency of 1 MHz with DC bias voltages, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>D</mi> <mi>D</mi> <mo>,</mo> <mi>F</mi> </mrow> </msub> <mo>=</mo> </mrow> </semantics></math> 1.8 V and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>D</mi> <mi>D</mi> <mo>,</mo> <mi>G</mi> <mi>D</mi> </mrow> </msub> <mo>=</mo> </mrow> </semantics></math> 5.5 V. (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>L</mi> <mo>,</mo> <mi>L</mi> <mi>C</mi> </mrow> </msub> </mrow> </semantics></math> and (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi>i</mi> <mi>n</mi> <mi>d</mi> </mrow> </msub> </mrow> </semantics></math>.</p>
Full article ">
21 pages, 1627 KiB  
Review
Review of Key Technologies in Modeling and Control of DC Transmission Systems Based on IGCT
by Degui Yao, Di Zhang, Qiang Li, Chenghao Li, Ze Gao, Zhichang Yuan, Kai Liu, Xiangxu Wang, Jianshuang Kang and Tingting Li
Electronics 2024, 13(15), 3061; https://doi.org/10.3390/electronics13153061 - 2 Aug 2024
Viewed by 369
Abstract
The integrated gate-commutated thyristor (IGCT) has the advantages of high voltage, high current, high reliability, and low manufacturing costs and has the potential to replace thyristor devices in the field of high-voltage direct current (HVDC) transmission. Over time, the development and manufacture of [...] Read more.
The integrated gate-commutated thyristor (IGCT) has the advantages of high voltage, high current, high reliability, and low manufacturing costs and has the potential to replace thyristor devices in the field of high-voltage direct current (HVDC) transmission. Over time, the development and manufacture of IGCT devices, drivers, and valve bodies have gradually matured, but the modeling and control technology of HVDC systems based on IGCT needs further research. This review aims to discuss the research status of key technologies of HVDC system modeling and control based on the IGCT in recent years, including the development of HVDC systems and the application potential of the IGCT, the efficient simulation and modeling technology of the IGCT HVDC system, and the key problems of HVDC system control technology based on the IGCT. At the same time, according to the author’s point of view, the existing problems and difficulties are extracted, and the next development ideas are clarified. Full article
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Figure 1

Figure 1
<p>The development history diagram of HVDC transmission.</p>
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<p>Structural diagram of the Wudongde–Kunliulong hybrid HVDC transmission project.</p>
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<p>Power router based on the IGCT for the Ulanqab source–grid–load–storage integrated industrial park.</p>
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<p>Comparison diagram of the IGCT and IGBT cell structures.</p>
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<p>Electromagnetic transient simulation platform joint CPU-GPU.</p>
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<p>Interface interaction in hybrid simulation. (<b>a</b>) Serial mode; (<b>b</b>) parallel mode; (<b>c</b>) iterative mode; and (<b>d</b>) hybrid mode.</p>
Full article ">
18 pages, 6924 KiB  
Article
Dynamic Spatio-Temporal Adaptive Graph Convolutional Recurrent Networks for Vacant Parking Space Prediction
by Liangpeng Gao, Wenli Fan and Wenliang Jian
Appl. Sci. 2024, 14(13), 5927; https://doi.org/10.3390/app14135927 - 7 Jul 2024
Viewed by 601
Abstract
The prediction of vacant parking spaces (VPSs) can reduce the time drivers spend searching for parking, thus alleviating traffic congestion. However, previous studies have mostly focused on modeling the temporal features of VPSs using historical data, neglecting the complex and extensive spatial characteristics [...] Read more.
The prediction of vacant parking spaces (VPSs) can reduce the time drivers spend searching for parking, thus alleviating traffic congestion. However, previous studies have mostly focused on modeling the temporal features of VPSs using historical data, neglecting the complex and extensive spatial characteristics of different parking lots within the transportation network. This is mainly due to the lack of direct physical connections between parking lots, making it challenging to quantify the spatio-temporal features among them. To address this issue, we propose a dynamic spatio-temporal adaptive graph convolutional recursive network (DSTAGCRN) for VPS prediction. Specifically, DSTAGCRN divides VPS data into seasonal and periodic trend components and combines daily and weekly information with node embeddings using the dynamic parameter-learning module (DPLM) to generate dynamic graphs. Then, by integrating gated recurrent units (GRUs) with the parameter-learning graph convolutional recursive module (PLGCRM) of DPLM, we infer the spatio-temporal dependencies for each time step. Furthermore, we introduce a multihead attention mechanism to effectively capture and fuse the spatio-temporal dependencies and dynamic changes in the VPS data, thereby enhancing the prediction performance. Finally, we evaluate the proposed DSTAGCRN on three real parking datasets. Extensive experiments and analyses demonstrate that the DSTAGCRN model proposed in this study not only improves the prediction accuracy but can also better extract the dynamic spatio-temporal characteristics of available parking space data in multiple parking lots. Full article
(This article belongs to the Special Issue Intelligent Transportation System in Smart City)
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Figure 1
<p>Schematic diagram of hidden relationships in multiple parking lots.</p>
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<p>Overall framework of DSTAGCRN.</p>
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<p>Construction of spatio-temporal embeddings.</p>
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<p>Schematic diagram of the PLGCRM module.</p>
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<p>The specific process of the multihead attention mechanism.</p>
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<p>Prediction results for six models per prediction layer on three parking datasets.</p>
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<p>Comparison of the prediction results between the proposed DSTAGCRN model and the STGNCDE model on the Guangzhou parking dataset.</p>
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<p>Changes in the number of vacant parking spaces in two parking lots in one day.</p>
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<p>Changes in the spatial weights of two parking lots in one day.</p>
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<p>Impact of different embedding dimensions.</p>
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<p>Impact of different parameters on the model.</p>
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22 pages, 9997 KiB  
Review
Review of Integrated Gate Driver Circuits in Active Matrix Thin-Film Transistor Display Panels
by Min-Kyu Chang, Seoyeong Jeong, Darren Kim and Hyoungsik Nam
Micromachines 2024, 15(7), 823; https://doi.org/10.3390/mi15070823 - 25 Jun 2024
Viewed by 797
Abstract
Many advanced technologies have been employed in high-performance active matrix displays, including liquid crystal displays, organic light-emitting diode displays, and micro-light-emitting diode displays. On the other side, there exists a strong demand for cost reduction, and it is one of the low-cost schemes [...] Read more.
Many advanced technologies have been employed in high-performance active matrix displays, including liquid crystal displays, organic light-emitting diode displays, and micro-light-emitting diode displays. On the other side, there exists a strong demand for cost reduction, and it is one of the low-cost schemes for integrating the driver circuit in a panel based on thin-film transistor technologies. This paper reviews the overall concept, operation principles, and various circuit approaches in shift registers for scanning pulse generation. In addition, it deals with the implementation of additional functionalities in gate drivers to support pixel compensation, multi-line driving, in-cell capacitive touch screen, pixel sensing, and adaptive scanning region control. Full article
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Figure 1
<p>Concept diagram of scanning pulse generation with one-type TFTs.</p>
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<p>Schematic and timing diagram of a basic shift register at an N-type enhancement-mode TFT backplane.</p>
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<p>Signal connections between basic shift registers.</p>
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<p>Fluctuation-reduced shift register by applying another high floating node voltage to the gate nodes of pulling-down TFTs at an enhancement-mode TFT backplane.</p>
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<p>Fluctuation-reduced shift register by including an internal inverter to generate Qb at an enhancement-mode TFT backplane.</p>
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<p>Low power shift register by removing the shoot-through current path in an internal inverter at an enhancement-mode TFT backplane [<a href="#B62-micromachines-15-00823" class="html-bibr">62</a>].</p>
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<p>Reliability-enhanced shift register by the line-by-line alternation of discharging paths for Q and G at an enhancement-mode TFT backplane [<a href="#B67-micromachines-15-00823" class="html-bibr">67</a>].</p>
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<p>Four-phase clock shift register for reliability enhancement and power reduction at an enhancement-mode TFT backplane [<a href="#B72-micromachines-15-00823" class="html-bibr">72</a>].</p>
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<p>Reliability-enhanced shift register by the frame-by-frame alternation of discharging paths for Q and G at an enhancement-mode TFT backplane.</p>
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<p>Shift register based on P-type enhancement-mode TFTs [<a href="#B78-micromachines-15-00823" class="html-bibr">78</a>].</p>
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<p>Approaches to deal with depletion-mode TFTs.</p>
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<p>Shift register based on N-type depletion-mode oxide TFTs [<a href="#B82-micromachines-15-00823" class="html-bibr">82</a>].</p>
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<p>Small area shift register with a Qb-sharing structure at an enhancement-mode TFT backplane [<a href="#B87-micromachines-15-00823" class="html-bibr">87</a>].</p>
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<p>Small area shift register with a direct Q-sharing structure at a depletion-mode TFT backplane [<a href="#B88-micromachines-15-00823" class="html-bibr">88</a>].</p>
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<p>Small area shift register with a Q-sharing structure by separating TFTs at an enhancement-mode TFT backplane [<a href="#B90-micromachines-15-00823" class="html-bibr">90</a>].</p>
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<p>Threshold voltage compensation pixel circuit example [<a href="#B104-micromachines-15-00823" class="html-bibr">104</a>].</p>
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<p>Emission pulse generation circuit based on P-type enhancement-mode TFTs [<a href="#B103-micromachines-15-00823" class="html-bibr">103</a>].</p>
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<p>Foveation-based driving schemes with the vertical resolution reduction [<a href="#B108-micromachines-15-00823" class="html-bibr">108</a>].</p>
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<p>Timing diagram of display scanning and touch sensing at TDDM [<a href="#B112-micromachines-15-00823" class="html-bibr">112</a>].</p>
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<p>Shift register schematic and timing diagram at an enhancement-mode TFT backplane for a TDDM touch sensing scheme [<a href="#B115-micromachines-15-00823" class="html-bibr">115</a>].</p>
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<p>Pixel circuit with a sensing TFT (N3) for the external compensation [<a href="#B125-micromachines-15-00823" class="html-bibr">125</a>].</p>
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<p>Random sensing line selection during the vertical blank period [<a href="#B125-micromachines-15-00823" class="html-bibr">125</a>].</p>
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<p>Random sensing pulse generation at a depletion-mode oxide TFT backplane: (<b>a</b>) schematic; (<b>b</b>) timing diagram [<a href="#B125-micromachines-15-00823" class="html-bibr">125</a>].</p>
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<p>Selective scan driver circuit at an enhancement-mode TFT backplane to enable the gate pulse generation only for the specific region [<a href="#B132-micromachines-15-00823" class="html-bibr">132</a>].</p>
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19 pages, 5022 KiB  
Article
Predicting and Understanding the Pacific Decadal Oscillation Using Machine Learning
by Zhixiong Yao, Dongfeng Xu, Jun Wang, Jian Ren, Zhenlong Yu, Chenghao Yang, Mingquan Xu, Huiqun Wang and Xiaoxiao Tan
Remote Sens. 2024, 16(13), 2261; https://doi.org/10.3390/rs16132261 - 21 Jun 2024
Viewed by 433
Abstract
The Pacific Decadal Oscillation (PDO), the dominant pattern of sea surface temperature anomalies in the North Pacific basin, is an important low-frequency climate phenomenon. Leveraging data spanning from 1871 to 2010, we employed machine learning models to predict the PDO based on variations [...] Read more.
The Pacific Decadal Oscillation (PDO), the dominant pattern of sea surface temperature anomalies in the North Pacific basin, is an important low-frequency climate phenomenon. Leveraging data spanning from 1871 to 2010, we employed machine learning models to predict the PDO based on variations in several climatic indices: the Niño3.4, North Pacific index (NPI), sea surface height (SSH), and thermocline depth over the Kuroshio–Oyashio Extension (KOE) region (SSH_KOE and Ther_KOE), as well as the Arctic Oscillation (AO) and Atlantic Multi-decadal Oscillation (AMO). A comparative analysis of the temporal and spatial performance of six machine learning models was conducted, revealing that the Gated Recurrent Unit model demonstrated superior predictive capabilities compared to its counterparts, through the temporal and spatial analysis. To better understand the inner workings of the machine learning models, SHapley Additive exPlanations (SHAP) was adopted to present the drivers behind the model’s predictions and dynamics for modeling the PDO. Our findings indicated that the Niño3.4, North Pacific index, and SSH_KOE were the three most pivotal features in predicting the PDO. Furthermore, our analysis also revealed that the Niño3.4, AMO, and Ther_KOE indices were positively associated with the PDO, whereas the NPI, SSH_KOE, and AO indices exhibited negative correlations. Full article
(This article belongs to the Special Issue Remote Sensing and Numerical Simulation for Tidal Dynamics)
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<p>Time series of monthly values of the PDO, Niño3.4, AMO, AO, NPI, SSH_KOE, and Ther_KOE indices from 1871 to 2010. All indices were smoothed by calculating the 6-month running mean and normalized by their standard deviation.</p>
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<p>Flow diagram of machine learning for the model prediction. (<b>a</b>) Data Pre-processing: Preparing the raw data for analysis by cleaning, transforming, and selecting relevant features; (<b>b</b>) Data Splitting: Splitting the dataset into training, and testing sets to ensure unbiased evaluation of the model; (<b>c</b>) Modelling Process: Applying the machine learning model to the data to build a predictive model; (<b>d</b>) Model Explanation: Providing insights into how and why the model makes its predictions using the SHAP analysis.</p>
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<p>(<b>a</b>) Correlation matrix among the indices, and (<b>b</b>) the <math display="inline"><semantics> <mrow> <mi>V</mi> <mi>I</mi> <mi>F</mi> </mrow> </semantics></math> values of dependent variables.</p>
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<p>The observed and predicted PDO indices in six ML models: (<b>a</b>) ANN, (<b>b</b>) SVR, (<b>c</b>) XGBoost, (<b>d</b>) CNN, (<b>e</b>) LSTM, and (<b>f</b>) GRU from January 1982 to December 2010. The error is represented as the difference between predicted values and observed values. Pink indicates positive errors, while purple represents negative errors.</p>
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<p>Taylor diagram for the PDO index amplitude, the centered RMSE, and coefficient correlation between the model and observations. The REF point represents zero RMSE compared to the observations. The model standard deviations were normalized to the scale of the observation data. Different legend shapes represent the six different ML models.</p>
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<p>The (<b>left</b>) correlation coefficient and (<b>right</b>) RMSE between the observed and predicted SSTAs in six ML models from January 1982 to December 2010.</p>
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<p>Performing sequential forward selection analysis for the GRU model in terms of the correlation coefficient and RMSE as each predictor is added. Histograms and lines represent the correlation coefficient and RMSE, respectively. The error bars and pink shading indicate the standard deviation from the mean of 10 ensemble runs.</p>
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<p>SHAP force plot results for PDO prediction of samples for 1976/1977 and 1998/1999 regime shifts: (<b>a</b>) Winter, 1975; (<b>b</b>) Winter, 1976; (<b>c</b>) Winter, 1997; and (<b>d</b>) Winter, 1998.</p>
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<p>(<b>a</b>) SHAP feature importance plot and (<b>b</b>) SHAP summary plot for each dependent variable.</p>
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<p>SHAP dependence plot for each dependent variable: (<b>a</b>) Niño3.4 (°C), (<b>b</b>) AO (hPa), (<b>c</b>) AMO (°C), (<b>d</b>) NPI (hPa), (<b>e</b>) SSH_KOE (m), and (<b>f</b>) Ther_KOE (m). The black circles represent the SHAP values associated with different features. Red lines represent the polynomial regression of scatter points. The shaded area around each line indicates the range of a 95% confidence interval. Dashed lines represent the SHAP values equal to zero. The histograms on the top and right of each subplot indicate the distribution of feature and SHAP values.</p>
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<p>SHAP interaction plot for the GRU model with respect to (<b>a</b>) the Niño3.4 and SSH_KOE indices, (<b>b</b>) the Niño3.4 index and the NPI, and (<b>c</b>) the SSH_KOE index and the NPI. Each point represents an example of the testing set.</p>
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0 pages, 6089 KiB  
Article
A New Symmetrical Source-Based DC/AC Converter with Experimental Verification
by Kailash Kumar Mahto, Bidyut Mahato, Bikramaditya Chandan, Durbanjali Das, Priyanath Das, Georgios Fotis, Vasiliki Vita and Michael Mann
Electronics 2024, 13(10), 1975; https://doi.org/10.3390/electronics13101975 - 17 May 2024
Cited by 2 | Viewed by 740
Abstract
This research paper introduces a new topology for multilevel inverters, emphasizing the reduction of harmonic distortion and the optimization of the component count. The complexity of an inverter is determined by the number of power switches, which is significantly reduced in the presented [...] Read more.
This research paper introduces a new topology for multilevel inverters, emphasizing the reduction of harmonic distortion and the optimization of the component count. The complexity of an inverter is determined by the number of power switches, which is significantly reduced in the presented topology, as fewer switches require fewer driver circuits. In this proposed topology, a new single-phase generalized multilevel inverter is analyzed with an equal magnitude of voltage supply. A 9-level, 11-level, or 13-level symmetrical inverter with RL load is analyzed in MATLAB/Simulink 2019b and then experimentally validated using the dSPACE-1103 controller. The experimental verification of the load voltage and current with different modulation indices is also presented. The analysis of the proposed topology concludes that the total required number of components is lower than that necessary for the classical inverter topologies, as well as for some new proposed multilevel inverters that are also compared with the proposed topology in terms of gate driver circuits, power switches, and DC sources, which thereby enhances the goodness of the proposed topology. Thus, a comparison of this inverter with the other topologies validates its acceptance. Full article
(This article belongs to the Special Issue Electrical Power Systems Quality)
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<p>Proposed topology: (<b>a</b>) proposed circuit−I topology; (<b>b</b>) generalized proposed circuit−I topology.</p>
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<p>Proposed topology: (<b>a</b>) proposed circuit−II topology; (<b>b</b>) generalized proposed circuit−II topology.</p>
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<p>Different types of configurations of bi-directional switches (<b>a</b>) Common Emitter; IGBT (<b>b</b>) Diode Bridge with one Power Switch (<b>c</b>) Common Collector IGBT.</p>
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<p>Different ways to generate DC voltages for the capacitors.</p>
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<p>Operating modes for the fundamental structural topology (circuit−I or circuit−II).</p>
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<p>Generated pulse pattern for the proposed inverter (circuit−I and circuit−II) for 9-level output voltage.</p>
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<p>Circuits of the compared topologies proposed in (<b>a</b>) [<a href="#B24-electronics-13-01975" class="html-bibr">24</a>]; (<b>b</b>) [<a href="#B25-electronics-13-01975" class="html-bibr">25</a>]; (<b>c</b>) [<a href="#B26-electronics-13-01975" class="html-bibr">26</a>]; (<b>d</b>) [<a href="#B27-electronics-13-01975" class="html-bibr">27</a>]; (<b>e</b>) [<a href="#B28-electronics-13-01975" class="html-bibr">28</a>]; (<b>f</b>) [<a href="#B29-electronics-13-01975" class="html-bibr">29</a>]; (<b>g</b>) [<a href="#B30-electronics-13-01975" class="html-bibr">30</a>].</p>
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<p>Comparison of the proposed topology with existing topologies in terms of (<b>a</b>) total number of switches required for different voltage level; (<b>b</b>) level-per-switch ratio [<a href="#B24-electronics-13-01975" class="html-bibr">24</a>,<a href="#B25-electronics-13-01975" class="html-bibr">25</a>,<a href="#B26-electronics-13-01975" class="html-bibr">26</a>,<a href="#B27-electronics-13-01975" class="html-bibr">27</a>,<a href="#B29-electronics-13-01975" class="html-bibr">29</a>].</p>
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<p>Experimental set-up in the laboratory for the proposed MLI.</p>
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<p>Blocking voltages across the switches: (<b>a</b>) S<sub>1</sub>, S<sub>2</sub>, and S<sub>3</sub>; (<b>b</b>) S<sub>4</sub>, S<sub>5</sub>, and S<sub>6</sub>; (<b>c</b>) S<sub>7</sub>, S<sub>8</sub>, and S<sub>9</sub>.</p>
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<p>Gate driver circuit for a power switch.</p>
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<p>Simulation results for the 9-level inverter: (<b>a</b>) output voltage and current; (<b>b</b>) %THD of output phase voltage.</p>
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<p>Simulation results for the 9-level inverter: (<b>a</b>) output voltage and current; (<b>b</b>) %THD of output phase voltage.</p>
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<p>Switching pulses fed to the power switches of the proposed circuit−I topology: (<b>a</b>) S<sub>1</sub>, S<sub>2</sub> and S<sub>3</sub>; (<b>b</b>) S<sub>3</sub>, S<sub>4</sub>, and S<sub>5</sub>; (<b>c</b>) S<sub>6</sub>, S<sub>7</sub>, and S<sub>8</sub>.</p>
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<p>Load voltage and current for the 9-level inverter: (<b>a</b>) 2.5 cycles; (<b>b</b>) 1 cycle.</p>
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<p>Total harmonic distortion of the output voltage of the proposed inverters: (<b>a</b>) 11−level inverter; (<b>b</b>) 13−level inverter.</p>
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<p>Load voltage and current for the 11-level inverter; (<b>a</b>) 2.5 cycles; (<b>b</b>) different modulation indices.</p>
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<p>Load voltage and current for the 13-level inverter: (<b>a</b>) 2.5 cycles; (<b>b</b>) different modulation indices.</p>
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15 pages, 7378 KiB  
Article
Development and Implementation of Algorithms for an Intelligent IGBT Gate Driver Using a Low-Cost Microcontroller
by Artemy R. Zolotov, Artur A. Ledovskikh, Alexandr N. Zhukov, Alexandr A. Zharkov, Yulia K. Kazemirova and Alecksey S. Anuchin
Appl. Sci. 2024, 14(10), 4247; https://doi.org/10.3390/app14104247 - 16 May 2024
Viewed by 701
Abstract
High-power IGBTs are used in power electronic converters in a variety of applications: traction drives, renewable power converters, mining equipment, oil and water pumping, and so on. To control a transistor, a special gate driver board is required. This board converts the logical [...] Read more.
High-power IGBTs are used in power electronic converters in a variety of applications: traction drives, renewable power converters, mining equipment, oil and water pumping, and so on. To control a transistor, a special gate driver board is required. This board converts the logical control signal into the appropriate voltage values necessary to turn the resistor on and off. Gate drivers can perform the protection functions of IGBTs using hardware and algorithmic approaches. Application-specific integrated circuits are often used in driver solutions to implement control and protection. The development of an application-specific integrated circuit is a time-consuming and expensive procedure, which increases the cost of the driver. This paper describes the control and protection algorithms implemented in an intelligent IGBT driver based on a low-cost microcontroller. The use of the microcontroller makes the gate driver design more flexible and allows for the accurate tuning of the protection thresholds. The gate driver protects the IGBT from short-circuiting, overcurrent, and overvoltage, monitors the voltage supply, and controls the switch on and switch off processes in the transistor. The performance of the protection algorithms was tested experimentally using a specialized test bench. Full article
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<p>IGBT gate driver: (<b>a</b>) photo and (<b>b</b>) functional diagram.</p>
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<p>IGBT gate driver: (<b>a</b>) photo and (<b>b</b>) functional diagram.</p>
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<p>Timing diagrams of the optical communication signals (blue—input; red—feedback): (<b>a</b>) input signal; (<b>b</b>) normal operation feedback; (<b>c</b>) no gate current or gate voltage exceeding fault feedback; (<b>d</b>) short-circuit or overload current protection feedback; and (<b>e</b>) power supply failure feedback.</p>
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<p>States and substates of the finite-state machine (green—turned on state; red—turned off state; blue—occurs in both states).</p>
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<p>Timing diagrams of algorithm implementation in the microcontroller (blue—control command; red—feedback signal).</p>
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<p>Timing diagram of feedback signal implementation by PWM module (blue—control command; red—feedback signal).</p>
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<p>Functional diagram of the test bench.</p>
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<p>Transient signals of the gate driver in normal operation mode: yellow—control signal; blue—gate voltage; red—collector–emitter voltage; green—driver feedback signal. (<b>a</b>) Enlarged picture. (<b>b</b>) Narrowed picture.</p>
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<p>Transient signals in the short-circuit operation mode: yellow—control signal; blue—gate voltage; red—collector-emitter voltage; green—driver feedback signal.</p>
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<p>(<b>a</b>) Transient signals of the gate driver in normal operation mode. (<b>b</b>) Transient signals of the gate driver in the case of disconnecting the driver pin from the gate of the transistor: yellow—control signal; blue—driver output gate voltage; red—gate current; green—driver feedback signal.</p>
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<p>(<b>a</b>) Transient signals of the gate driver in normal operation mode. (<b>b</b>) Transient signals of the gate driver in the case of disconnecting the driver pin from the gate of the transistor: yellow—control signal; blue—driver output gate voltage; red—gate current; green—driver feedback signal.</p>
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<p>(<b>a</b>) The driver feedback signal sets the fault in the case of a voltage supply, +15 V, that is out of range: blue—supply voltage; green—driver feedback signal. (<b>b</b>) The process of establishing the voltage supply, +15 V, and resetting the driver fault: blue—supply voltage; green—driver feedback signal.</p>
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<p>(<b>a</b>) The driver feedback signal sets the fault in the case of a voltage supply, +15 V, that is out of range: blue—supply voltage; green—driver feedback signal. (<b>b</b>) The process of establishing the voltage supply, +15 V, and resetting the driver fault: blue—supply voltage; green—driver feedback signal.</p>
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17 pages, 7183 KiB  
Article
Updates on Impact Ionisation Triggering of Thyristors
by Alicia Ana del Barrio Montañés, Viliam Senaj, Thomas Kramer and Martin Sack
Appl. Sci. 2024, 14(10), 4196; https://doi.org/10.3390/app14104196 - 15 May 2024
Viewed by 628
Abstract
High voltage (HV) generators are used in multiple industrial and scientific facilities. Recent publications have demonstrated that triggering industrial thyristors (relatively slow switching devices) in overvoltage mode, also called impact ionization mode, significantly enhances their dU/dt and dI/dt characteristics. This novel triggering methodology [...] Read more.
High voltage (HV) generators are used in multiple industrial and scientific facilities. Recent publications have demonstrated that triggering industrial thyristors (relatively slow switching devices) in overvoltage mode, also called impact ionization mode, significantly enhances their dU/dt and dI/dt characteristics. This novel triggering methodology necessitates the application of substantial overvoltage between the thyristor’s anode and cathode, delivered with a swift slew rate exceeding 1 kV/ns. The adoption of compact pulse generators constructed from commercially available off-the-shelf components (COTS) opens up avenues for deploying this technology across various domains, including the implementation of high-speed kicker generators in particle accelerators. In our methodology, we employed commercially available high-voltage SiC MOSFETs along with a custom-designed fast gate driver. This driver was conceptualized based on the recent development of gate boosting techniques, featuring a driving voltage exceeding 600 V. The gate driver for these MOSFETs comprises three key components: a level-shifter with NMOS and PMOS transistors, a compact Marx generator with two avalanche transistors, and a GaN HEMT in a high input and low output impedance configuration. The proposed gate-boosting driver achieves a slew rate exceeding 1 kV/ns for the driving pulse. Furthermore, we demonstrate that with this driver, a 1.7 kV rated SiC MOSFET can produce an output pulse of 1.45 kV and a maximum slew rate of ≈2.5 kV/ns. This gate-boosting driver aims to minimize commutation times, achieves a slew rate of over 1 kV/ns, and handle higher loads, making it ideal for impact ionization triggering of industrial thyristors. Full article
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<p>Assessing the thyristor’s parasitic capacitance. (<b>a</b>) Setup to measure the parasitic capacitance of a thyristor in relation to bias voltage using an RLC meter. (<b>b</b>) Voltage dependance of the MPPCT750D240 thyristor’s parasitic capacitance.</p>
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<p>Schematic of the six SiC MOSFETs (<span class="html-italic">SiC2</span> _1 to _6), with the corresponding microstrips, in parallel.</p>
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<p>PCB 3D rendering representing the six SiC MOSFETs and microstrip branches of the pulse generator. The propagation delay of the individual SiC gate driving signal is mostly compensated for by the geometry of their drain transmission lines layout and the placement of the output feeding point on the opposite extremity.</p>
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<p>Schematic of the previous version of the SiC MOSFET gate-boosting driver.</p>
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<p>Output voltage of the gate-boosting driver on <a href="#applsci-14-04196-f004" class="html-fig">Figure 4</a>, on a 50 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math> load at a charging voltage of 320 V. Maximum amplitude of 300 V and <math display="inline"><semantics> <mrow> <msub> <mi>t</mi> <mi>r</mi> </msub> <mo>=</mo> <mn>1</mn> <mrow> <mi>ns</mi> </mrow> </mrow> </semantics></math>, measured between 10–90%.</p>
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<p>Schematic of the driver with its main stages: <math display="inline"><semantics> <mrow> <mi>N</mi> <mi>M</mi> <mn>1</mn> <mo>_</mo> <mn>1</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>P</mi> <mi>M</mi> <mn>1</mn> <mo>_</mo> <mn>1</mn> </mrow> </semantics></math> as the fist level-shifting step, then the two-stage Marx generator with <math display="inline"><semantics> <mrow> <mi>A</mi> <mi>v</mi> <mn>1</mn> <mo>_</mo> <mn>1</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>A</mi> <mi>v</mi> <mn>1</mn> <mo>_</mo> <mn>2</mn> </mrow> </semantics></math>, and finally the normally-off <math display="inline"><semantics> <mrow> <mi>G</mi> <mi>H</mi> <mn>1</mn> <mo>_</mo> <mn>1</mn> </mrow> </semantics></math> in source-follower configuration.</p>
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<p>Dimensions of the driver. A more compact layout allows for a reduced stray impedance.</p>
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<p>The triggering pulse. (<b>a</b>) Schematic of the pulse booster for the Philips PM5786B pulse generator. (<b>b</b>) Output pulse on a 50 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math> load, labeled “<math display="inline"><semantics> <mrow> <mi>B</mi> <mi>o</mi> <mi>o</mi> <mi>s</mi> <mi>t</mi> <mi>e</mi> <msub> <mi>r</mi> <mrow> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> </mrow> </semantics></math>”, with a charging voltage of 50 V. Maximum amplitude of 45 V, with a 10–90% rise time of 425 ps.</p>
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<p>Output voltages obtained on a single IMBF170R450M1 SiC MOSFET on a 50 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math> load, at different charging voltages.</p>
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<p>Output voltage of the six parallel IMBF170R450M1 SiC MOSFETs on a 50 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math> load (TP5, <a href="#applsci-14-04196-f003" class="html-fig">Figure 3</a>), different charging voltages. At a <math display="inline"><semantics> <mrow> <mn>1.7</mn> </mrow> </semantics></math> kV charging voltage, the maximum voltage amplitude is <math display="inline"><semantics> <mrow> <mn>3.2</mn> </mrow> </semantics></math> kV and a 10–90% slew rate of 2 kV/ns.</p>
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<p>The output voltage of the six parallel IMBF170R450M1 SiC MOSFETs on a 4 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math> load (TP5, <a href="#applsci-14-04196-f003" class="html-fig">Figure 3</a>), charging voltage <math display="inline"><semantics> <mrow> <mn>1.7</mn> </mrow> </semantics></math> kV. The maximum voltage amplitude is <math display="inline"><semantics> <mrow> <mn>1.6</mn> </mrow> </semantics></math> kV; hence, there is a calculated output current of 400 A.</p>
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<p>Output voltage of the FMMT413 (pink, TP1, <a href="#applsci-14-04196-f006" class="html-fig">Figure 6</a>) and FMMT417 (green, TP2 <a href="#applsci-14-04196-f006" class="html-fig">Figure 6</a>) avalanche transistors, charging voltages 150 V and 320 V, respectively, and for the GS66508T GaN HEMT (blue, TP3, <a href="#applsci-14-04196-f006" class="html-fig">Figure 6</a>), all measurements are on a 50 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math> load. The final output has a maximum amplitude of 620 V and a maximum slew rate of 1 kV/ns.</p>
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<p>Lifetime test. (<b>a</b>) Driver lifetime test, total <math display="inline"><semantics> <mrow> <mn>2</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>6</mn> </msup> </mrow> </semantics></math> pulses. Loaded with 180 pF and <math display="inline"><semantics> <mrow> <mn>3.5</mn> </mrow> </semantics></math> <math display="inline"><semantics> <mo>Ω</mo> </semantics></math> to reproduce the six SiC MOSFET loading; charging voltage 640 V. (<b>b</b>) 6× SiC MOSFET lifetime test, total <math display="inline"><semantics> <mrow> <mn>1</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>6</mn> </msup> </mrow> </semantics></math> pulses. Loaded with 4 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math> to reproduce the condition of an output current &gt;220 A (calculated output current &gt;300 A); charging voltage <math display="inline"><semantics> <mrow> <mn>1.3</mn> </mrow> </semantics></math> kV.</p>
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21 pages, 12670 KiB  
Article
An Edge Computing System with AMD Xilinx FPGA AI Customer Platform for Advanced Driver Assistance System
by Tsun-Kuang Chi, Tsung-Yi Chen, Yu-Chen Lin, Ting-Lan Lin, Jun-Ting Zhang, Cheng-Lin Lu, Shih-Lun Chen, Kuo-Chen Li and Patricia Angela R. Abu
Sensors 2024, 24(10), 3098; https://doi.org/10.3390/s24103098 - 13 May 2024
Viewed by 935
Abstract
The convergence of edge computing systems with Field-Programmable Gate Array (FPGA) technology has shown considerable promise in enhancing real-time applications across various domains. This paper presents an innovative edge computing system design specifically tailored for pavement defect detection within the Advanced Driver-Assistance Systems [...] Read more.
The convergence of edge computing systems with Field-Programmable Gate Array (FPGA) technology has shown considerable promise in enhancing real-time applications across various domains. This paper presents an innovative edge computing system design specifically tailored for pavement defect detection within the Advanced Driver-Assistance Systems (ADASs) domain. The system seamlessly integrates the AMD Xilinx AI platform into a customized circuit configuration, capitalizing on its capabilities. Utilizing cameras as input sensors to capture road scenes, the system employs a Deep Learning Processing Unit (DPU) to execute the YOLOv3 model, enabling the identification of three distinct types of pavement defects with high accuracy and efficiency. Following defect detection, the system efficiently transmits detailed information about the type and location of detected defects via the Controller Area Network (CAN) interface. This integration of FPGA-based edge computing not only enhances the speed and accuracy of defect detection, but also facilitates real-time communication between the vehicle’s onboard controller and external systems. Moreover, the successful integration of the proposed system transforms ADAS into a sophisticated edge computing device, empowering the vehicle’s onboard controller to make informed decisions in real time. These decisions are aimed at enhancing the overall driving experience by improving safety and performance metrics. The synergy between edge computing and FPGA technology not only advances ADAS capabilities, but also paves the way for future innovations in automotive safety and assistance systems. Full article
(This article belongs to the Special Issue Sensors for Intelligent Vehicles and Autonomous Driving)
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<p>System Architecture Diagram.</p>
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<p>FPGA Circuit Architecture Diagram.</p>
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<p>DPU with Processing System Hardware Architecture.</p>
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<p>Camera and FPGA Pinout Diagram.</p>
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<p>PetaLinux Building Process.</p>
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<p>The Pavement Defects Sample in TPDID. (<b>a</b>) Puddle; (<b>b</b>) expansion joint; and (<b>c</b>) deceleration ramp.</p>
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<p>CPU Program Data Flow Diagram.</p>
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<p>Training and testing results of YOLOv3 on multiple images in this study. (<b>a</b>) Original image and (<b>b</b>) test result.</p>
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<p>System Verification Environment.</p>
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<p>Deceleration ramp detection.</p>
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<p>UART to CAN System.</p>
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<p>Recognition results and PCAN-viewer UI.</p>
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22 pages, 11972 KiB  
Article
Parasitic-Based Model for Characterizing False Turn-On and Switching-Based Voltage Oscillation in Hybrid T-Type Converter
by Amir Babaki, Mohammad Sadegh Golsorkhi, Nicklas Christensen, Mehdi Baharizadeh, Stefan Behrendt, Jesco Beyer and Thomas Ebel
Electronics 2024, 13(10), 1808; https://doi.org/10.3390/electronics13101808 - 7 May 2024
Viewed by 717
Abstract
High frequency and high voltage switching converters utilizing wide bandgap semiconductors are gaining popularity thanks to their compactness and improved efficiency. However, the faster switching requirements gives rise to new challenges. A key issue is the increased oscillation of the drain–source voltage caused [...] Read more.
High frequency and high voltage switching converters utilizing wide bandgap semiconductors are gaining popularity thanks to their compactness and improved efficiency. However, the faster switching requirements gives rise to new challenges. A key issue is the increased oscillation of the drain–source voltage caused by the switching action of the complementary switch in the same phase or change of state of the other phase switches. The voltage stress caused by these oscillations can damage the switch. Furthermore, the high dv/dt during turning-on of one switch might result in false turn-on of the complementary switch due to the miller effect. In this paper, these issues are investigated in a T-type converter through analytical and experimental analysis. Based on the proposed analytical approach, simple and cost-wise solutions utilizing an optimum design of gate driver circuits and circuit layout modifications can be developed to cope with the aforementioned issues. A comprehensive analytical model of the converter with consideration of parasitic capacitances and inductances is developed. By performing sensitivity analysis on the model, the effect of the parasitic parameters on the drain–source voltage oscillation and gate–source voltage amplitude in case of false turn-on is studied. The validity of the model is then assessed through numerical simulations and experimental results. Full article
(This article belongs to the Topic Power Electronics Converters)
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Figure 1

Figure 1
<p>A schematic of a single-phase active T-Type converter.</p>
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<p>Switching modulation of T-Type.</p>
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<p>The equivalent circuit for Q<sub>2</sub> false turn-on demonstration considering parasitic capacitances.</p>
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<p>Simple circuit model of Q<sub>2</sub> in the OFF state.</p>
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<p><span class="html-italic">C<sub>gd</sub> dV/dt</span> test; (<b>a</b>) circuit model with all possible parasitic elements, (<b>b</b>) complete circuit model.</p>
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<p>(<b>a</b>) PM simulated in Ansys Q3D, (<b>b</b>) middle track, (<b>c</b>) upper side (+) track, and (<b>d</b>) lower side (−) track.</p>
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<p>(<b>a</b>) PM simulated in Ansys Q3D, (<b>b</b>) middle track, (<b>c</b>) upper side (+) track, and (<b>d</b>) lower side (−) track.</p>
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<p>Step response of (<b>a</b>) <span class="html-italic">V<sub>ds</sub></span> across Q<sub>2</sub>, and (<b>b</b>) <span class="html-italic">V<sub>gs</sub></span> of Q<sub>2</sub> during Q<sub>1</sub> turn-on.</p>
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<p>Damping ratio of ringing across the switch in terms of parasitic capacitor values; (<b>a</b>) C<sub>ds2</sub>, (<b>b</b>) C<sub>gd2</sub>, and (<b>c</b>) C<sub>gs2</sub>.</p>
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<p>Natural frequency of oscillation across the switch in terms of parasitic capacitor values; (<b>a</b>) C<sub>ds2</sub>, (<b>b</b>) C<sub>gd2</sub>, and (<b>c</b>) C<sub>gs2</sub>.</p>
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<p><span class="html-italic">V<sub>ds</sub></span> oscillation for <span class="html-italic">C<sub>gd</sub></span> = 2 nF.</p>
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<p>Damping ratio of ringing voltage across the switch in terms of the stray inductances in the circuit; (<b>a</b>) L<sub>total</sub>, (<b>b</b>) L<sub>G</sub>, and (<b>c</b>) L<sub>l−</sub>.</p>
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<p>Natural frequency of oscillation across the switch (Drain–Source) in terms of the stray inductances in the circuit; (<b>a</b>) L<sub>total</sub>, (<b>b</b>) L<sub>G</sub>, and (<b>c</b>) L<sub>l−</sub>.</p>
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<p>Effect of each parasitic capacitance of the switch on the induced gate–source voltage; (<b>a</b>) C<sub>ds</sub>, (<b>b</b>) C<sub>gd</sub>, and (<b>c</b>) C<sub>gs</sub>.</p>
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<p>V<sub>gs</sub> of the OFF switch in case that C<sub>gs</sub> = 13 nF.</p>
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<p>V<sub>gs</sub> of the OFF switch in case that C<sub>ds</sub> = 5 nF.</p>
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<p>Three-phase T-Type converter.</p>
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<p>Switching state changes and the resulted phase voltage.</p>
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<p>Simplified circuit considering switching state changes of legs 2 and 3 in form of pulse voltage.</p>
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<p>Voltage oscillation of V<sub>ph1</sub> because of switching state changes for other phases (Ph<sub>2</sub> and Ph<sub>3</sub>) for; (<b>a</b>) θ<sub>1</sub> = 0°; (<b>b</b>) θ<sub>1</sub> = 30°; and (<b>c</b>) θ<sub>1</sub> = 60°.</p>
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<p>The experimental setup for result verification by DPT test.</p>
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<p>Current flow of the system under DPT test in practice.</p>
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<p>The equivalent circuit model under DPT test for (<b>a</b>) upper side half-bridge of T-type converter (case 1), (<b>b</b>) lower side half-bridge of T-type converter (case 2), and (<b>c</b>) T-type leg (case 3).</p>
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<p>Induced gate–source voltage of switches with possibility of false turning on in DPT test; (<b>a</b>) case 1, (<b>b</b>) case 2, (<b>c</b>) case 3.</p>
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<p>Enlarged view of the induced gate–source voltage of Q<sub>2</sub> in DPT test of case 3; (<b>a</b>) first turn-on of Q<sub>1</sub>, (<b>b</b>) second turn-on of Q<sub>1</sub>.</p>
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<p>(<b>a</b>) V<sub>ds</sub> and V<sub>gs</sub> of the switches in case 2, and (<b>b</b>) V<sub>ds</sub> and V<sub>gs</sub> of the switches in case 3.</p>
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<p>(<b>a</b>) V<sub>ds</sub> across switches Q<sub>2</sub> and Q<sub>4</sub> for case 2 and 3 during first turning-on, and (<b>b</b>) V<sub>ds</sub> across switches Q<sub>2</sub> and Q<sub>4</sub> for case 2 and 3 during second turning-on.</p>
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<p>Comparison results of different voltage changes rate using different R<sub>G,on</sub>; (<b>a</b>) first turn-on of switch Q<sub>1</sub>and (<b>b</b>) second turn-on of switch Q<sub>1</sub>.</p>
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<p>Induced V<sub>gs</sub> of Q<sub>2</sub> in case 3 for different <span class="html-italic">R<sub>G,on</sub></span>; (<b>a</b>) <span class="html-italic">R<sub>G,on</sub></span> = 11.5 Ω and (<b>b</b>) <span class="html-italic">R<sub>G,on</sub></span> = 15.6 Ω.</p>
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<p>The overall key waveforms of DPT test with replacing R<sub>G</sub> = 15.6 Ω by R<sub>G</sub> = 11.5 Ω.</p>
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34 pages, 25979 KiB  
Article
Comprehensive Investigation of Promising Techniques to Enhance the Voltage Sharing among SiC MOSFET Strings, Supported by Experimental and Simulation Validations
by Weichuan Zhao, Sohrab Ghafoor, Gijs Willem Lagerweij, Gert Rietveld, Peter Vaessen and Mohamad Ghaffarian Niasar
Electronics 2024, 13(8), 1481; https://doi.org/10.3390/electronics13081481 - 13 Apr 2024
Viewed by 789
Abstract
This paper comprehensively reviews several techniques that address the static and dynamic voltage balancing of series-connected MOSFETs. The effectiveness of these techniques was validated through simulations and experiments. Dynamic voltage-balancing techniques include gate signal delay adjustment methods, passive snubbers, passive clamping circuits, and [...] Read more.
This paper comprehensively reviews several techniques that address the static and dynamic voltage balancing of series-connected MOSFETs. The effectiveness of these techniques was validated through simulations and experiments. Dynamic voltage-balancing techniques include gate signal delay adjustment methods, passive snubbers, passive clamping circuits, and hybrid solutions. Based on the experimental results, the advantages and disadvantages of each technique are investigated. Combining the gate-balancing core method with an RC snubber, which has proven both technically and commercially attractive, provides a robust solution. If the components are sorted and binned, voltage-balancing techniques may not be necessary, further enhancing the commercial viability of series-connected MOSFETs. An investigation of gate driver topologies yields one crucial conclusion: magnetically isolated gate drivers offer a simple and cost-effective solution for high-frequency (HF) applications (2.5–50 kHz) above 8 kV with an increased number of series devices. Below 8 kV, it is advantageous to move the isolation barrier from the gate drive IC to an optocoupler and isolated supply, allowing for a simple design with commercially available components. Full article
(This article belongs to the Special Issue High-Voltage Technology and Its Applications)
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Figure 1

Figure 1
<p>Properties for different types of HV switches (<b>left</b>) and their possible applications (<b>right</b>) [<a href="#B1-electronics-13-01481" class="html-bibr">1</a>,<a href="#B2-electronics-13-01481" class="html-bibr">2</a>,<a href="#B3-electronics-13-01481" class="html-bibr">3</a>,<a href="#B4-electronics-13-01481" class="html-bibr">4</a>,<a href="#B5-electronics-13-01481" class="html-bibr">5</a>,<a href="#B6-electronics-13-01481" class="html-bibr">6</a>,<a href="#B7-electronics-13-01481" class="html-bibr">7</a>,<a href="#B8-electronics-13-01481" class="html-bibr">8</a>,<a href="#B9-electronics-13-01481" class="html-bibr">9</a>,<a href="#B10-electronics-13-01481" class="html-bibr">10</a>,<a href="#B11-electronics-13-01481" class="html-bibr">11</a>,<a href="#B12-electronics-13-01481" class="html-bibr">12</a>,<a href="#B13-electronics-13-01481" class="html-bibr">13</a>,<a href="#B14-electronics-13-01481" class="html-bibr">14</a>,<a href="#B15-electronics-13-01481" class="html-bibr">15</a>,<a href="#B16-electronics-13-01481" class="html-bibr">16</a>,<a href="#B17-electronics-13-01481" class="html-bibr">17</a>,<a href="#B18-electronics-13-01481" class="html-bibr">18</a>].</p>
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<p>Basic schematic for testing two series-connected SiC MOSFETs.</p>
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<p>Measured unbalanced <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> sharing of the SiC MOSFET string without (<b>left</b>) and with (<b>right</b>) the identical balancing resistors (500 kΩ).</p>
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<p>Schematic of the <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> measurement of the three series-connected MOSFETs (<b>left</b>) and the corresponding resistance ladder network (<b>right</b>).</p>
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<p>Measured overall <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> sharing of the MOSFET string with tuned balancing resistors.</p>
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<p>Schematic of the two series-connected SiC MOSFETs using the GBC method.</p>
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<p>Schematic of the multiple series-connected SiC MOSFETs using the GBC method.</p>
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<p>Set-up of the series-connected SiC MOSFETs using the GBC method.</p>
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<p>Measured <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>G</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveforms of the two series-connected MOSFETs during the turn-off period without (<b>left</b>) and with the gate-coupled inductor with simulation verifications (<b>right</b>).</p>
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<p>Measured <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> of the MOSFET string with (<b>left</b>) and without coupled inductor with simulation verifications (<b>right</b>).</p>
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<p>Equivalent gate circuits of the two series-connected SiC MOSFETs using GBC method.</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>G</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> curves of the MOSFET string during the turn-off delay with coupled inductor (<math display="inline"><semantics> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>).</p>
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<p>The MATLAB Simulink model (gate circuits of two series-connected SiC MOSFETs) built based on the schematic of <a href="#electronics-13-01481-f011" class="html-fig">Figure 11</a>.</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>G</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveforms of the two series-connected SiC MOSFETs using GBC method during off-period with inductor <math display="inline"><semantics> <mrow> <mi>k</mi> <mo>=</mo> <mn>0.9822</mn> </mrow> </semantics></math> (<b>left</b>) and <math display="inline"><semantics> <mrow> <mi>k</mi> <mo>=</mo> <mn>0.9999</mn> </mrow> </semantics></math> (<b>right</b>) performed in MATLAB Simulink.</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveforms of the SiC MOSFET string using GBC method during off-period with coupled inductor <math display="inline"><semantics> <mrow> <mi>k</mi> <mo>=</mo> <mn>0.9822</mn> </mrow> </semantics></math> (<b>left</b>) and <math display="inline"><semantics> <mrow> <mi>k</mi> <mo>=</mo> <mn>0.9999</mn> </mrow> </semantics></math> (<b>right</b>) in case of <math display="inline"><semantics> <mrow> <mi>δ</mi> <msub> <mi>t</mi> <mrow> <mi>d</mi> <mrow> <mo>(</mo> <mrow> <mi>o</mi> <mi>f</mi> <mi>f</mi> </mrow> <mo>)</mo> </mrow> </mrow> </msub> </mrow> </semantics></math> = 500 ns (LTspice).</p>
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<p>RC snubber circuit (<b>left</b>) and RCD snubber circuit (<b>right</b>).</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>i</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveform of a IGBT during turn-off period.</p>
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<p>Schematic of two types of passive clamping snubber circuit.</p>
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<p>Schematic of two series-connected MOSFETs using improved RC snubber method (a).</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> sharing of the SiC MOSFET string using a passive RC snubber with an extra 200 ns turn-off delay in the bottom switch without snubber (<b>left</b>) and with snubber (<b>right</b>).</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> (<b>left</b>) and <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>G</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> during turn-off period (<b>right</b>) sharing of the SiC MOSFET string using the improved RC snubber method (a) with an extra 200 ns turn-off delay in the bottom switch with inductor.</p>
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<p>Schematic of the two series-connected MOSFETs using improved RC snubber method (b).</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> sharing of the SiC MOSFET string using the improved RC snubber method (b) with an extra 200 ns turn-off delay in the bottom switch without snubber (<b>left</b>) and with snubber without inductor (<b>right</b>). Repeated from <a href="#electronics-13-01481-f020" class="html-fig">Figure 20</a> for better comparison with <a href="#electronics-13-01481-f024" class="html-fig">Figure 24</a>.</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> (<b>left</b>) and <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> during off-period (<b>right</b>) sharing of the SiC MOSFET string using improved RC snubber method (b) with a 200 ns turn-off delay in the bottom switch with inductor.</p>
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<p>Schematic of four series-connected MOSFETs using improved RC snubber method (b).</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> sharing of the SiC MOSFET string using the improved RC snubber method (b) with snubber but without inductors (<b>left</b>) and with snubber and inductor (<b>right</b>).</p>
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<p>Experimental set-up of the four series-connected SiC MOSFETs (<b>left</b>) using improved RC snubber method (b) and measured <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>G</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveforms during off-period (<b>right</b>).</p>
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<p>Measured <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> sharing of the four series-connected SiC MOSFETs using the improved RC snubber (b) without coupled inductors (<b>left</b>) and with coupled inductors (<b>right</b>).</p>
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<p>Schematic of the SiC MOSFET string using the basic (<b>left</b>) and optimized (<b>right</b>) Zener clamping circuits.</p>
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<p>Operation principle of two series-connected MOSFETs for optimized Zener clamping method.</p>
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<p>Set-up of the three series-connected MOSFETs using Zener clamping method.</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> overall waveforms (left) and <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveforms during off-period of the SiC MOSFET string with optimized Zener clamping circuits (<math display="inline"><semantics> <mrow> <mi>δ</mi> <msub> <mi>t</mi> <mrow> <mi>d</mi> <mrow> <mo>(</mo> <mrow> <mi>o</mi> <mi>f</mi> <mi>f</mi> </mrow> <mo>)</mo> </mrow> </mrow> </msub> <mo>=</mo> <mn>560</mn> <mo> </mo> <mi>ns</mi> </mrow> </semantics></math>).</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> overall waveforms (<b>left</b>) and <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveforms during off-period (<b>right</b>) of the SiC MOSFET string with optimized Zener clamping circuits (<math display="inline"><semantics> <mrow> <mi>δ</mi> <msub> <mi>C</mi> <mrow> <mi>i</mi> <mi>s</mi> <mi>s</mi> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow> </msub> <mo>=</mo> <mn>85</mn> <mo> </mo> <mi>pF</mi> </mrow> </semantics></math>).</p>
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<p>Schematic of multiple (<math display="inline"><semantics> <mi>N</mi> </semantics></math>) series-connected SiC MOSFETs.</p>
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<p>Schematic of the SiC MOSFET string driven by the optically isolated HV gate drivers.</p>
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<p>The prototype of three series-connected MOSFETs controlled by HV gate driving circuit.</p>
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<p>Measured <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveforms during off-period (<b>left</b>) and overall <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveforms (<b>right</b>).</p>
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<p>Measured <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> waveform of the entire SiC MOSFET string with a voltage of 2.8 kV.</p>
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<p>Schematic of the magnetically isolated gate driver based two series-connected MOSFETs (<b>left</b>) and two gate-coupled transformers (<b>right</b>).</p>
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<p>Modulation waveforms for the generation of the transformer input pulses. The desired output waveform (in green) is modulated with on–off keying.</p>
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<p>The desired bipolar and complementary modulation waveforms (gate-coupled transformer input pulses).</p>
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<p>Schematic of the magnetically isolated HV gate driver based three series-connected SiC MOSFETs.</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> overall waveforms (<b>left</b>) and <math display="inline"><semantics> <mrow> <msub> <mi>V</mi> <mrow> <mi>D</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math> during turn-off period (<b>right</b>) of the magnetically isolated gate driver based SiC MOSFET string.</p>
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17 pages, 5418 KiB  
Article
Design and Implementation of Improved Gate Driver Circuit for Sensorless Permanent Magnet Synchronous Motor Control
by Indra Ferdiansyah and Tsuyoshi Hanamoto
World Electr. Veh. J. 2024, 15(3), 106; https://doi.org/10.3390/wevj15030106 - 9 Mar 2024
Viewed by 1325
Abstract
Reliable motor control is important for electric vehicle applications. The control process requires accurate measurements of the current and rotor position information to establish correct motor control design, particularly in sensorless permanent magnet synchronous motor control systems. Practical issues regarding the motor control [...] Read more.
Reliable motor control is important for electric vehicle applications. The control process requires accurate measurements of the current and rotor position information to establish correct motor control design, particularly in sensorless permanent magnet synchronous motor control systems. Practical issues regarding the motor control circuit, such as the effects of parasitic element behavior on the switching components in the insulated gate bipolar transistor-driven inverter, were discussed in this study. It analyzed the effects of parasitic elements that can cause the ringing of switching losses and affect the spike of the signal in the motor current, which must be avoided in the implementation of motor control. The gate driver circuit topology was improved to reduce this effect in motor control devices. The proposed gate driver circuit design with the ringing suppression circuit configuration achieved good performance by keeping the signal spike at less than 10% in the motor current. Furthermore, a signal spike or noise was not observed in the estimation results of rotor position when using current information as the parameter control process. Both conditions were verified by experiments on the designed motor control devices. Under these conditions, signal precision can be achieved in motor control. Full article
(This article belongs to the Special Issue Permanent Magnet Motors and Driving Control for Electric Vehicles)
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Figure 1

Figure 1
<p>Equivalent circuit and flow of ringing conditions in inverter including parasitic elements.</p>
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<p>Equivalent circuit and flow of ringing conditions in inverter including parasitic elements: (<b>a</b>) typical configuration; (<b>b</b>) configuration with capacitance in the high and low side; (<b>c</b>) configuration with a ringing suppression circuit of proposed systems.</p>
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<p>Relationship between rotor position and speed of the motor in three reference frames.</p>
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<p>Architecture of the motor control device.</p>
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<p>Amplified and isolated PWM.</p>
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<p>Configuration of IC GDC using IR2110PBF: (<b>a</b>) typical configuration; (<b>b</b>) improved configuration with conditioning signal achieved through amplification and isolation side.</p>
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<p>Schematic of gate driver circuit using IR2110PBF with a conditioning and isolated side: (<b>a</b>) typical configuration; (<b>b</b>) configuration with capacitance in the high and low side; (<b>c</b>) configuration with a ringing suppression circuit of the proposed systems.</p>
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<p>Effect of ringing switching behavior in the semiconductor material: (<b>a</b>) the behavior of ringing in power switching component; (<b>b</b>) voltage spike in typical configuration; (<b>c</b>) voltage spike of configuration using capacitance in the high and low side; (<b>d</b>) voltage spike of configuration using a ringing suppression circuit of the proposed systems.</p>
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<p>Laboratory prototype of motor control devices.</p>
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<p>Experimental setup.</p>
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<p>Observation results for motor control devices using GDC with a typical configuration IR2110: (<b>a</b>) current phase A in 3A; (<b>b</b>) current phase B in 3A; (<b>c</b>) rotor position estimation in 3A.</p>
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<p>Observation results for motor control devices using GDC and IR2110 with a capacitance filter in the high and low side: (<b>a</b>) current phase A in 3A; (<b>b</b>) current phase B in 3A; (<b>c</b>) rotor position estimation in 3A.</p>
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<p>Observation results of motor control devices using the proposed GDC and IR2110 with the proposed improvement circuit: (<b>a</b>) current phase A in 3A; (<b>b</b>) current phase B in 3A; (<b>c</b>) rotor position estimation in 3A.</p>
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<p>Result of noise reduction in motor current signals with different damping values.</p>
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14 pages, 1760 KiB  
Article
Enhancing Demand Prediction: A Multi-Task Learning Approach for Taxis and TNCs
by Yujie Guo, Ying Chen and Yu Zhang
Sustainability 2024, 16(5), 2065; https://doi.org/10.3390/su16052065 - 1 Mar 2024
Viewed by 868
Abstract
Taxis and Transportation Network Companies (TNCs) are important components of the urban transportation system. An accurate short-term forecast of passenger demand can help operators better allocate taxi or TNC services to achieve supply–demand balance in real time. As a result, drivers can improve [...] Read more.
Taxis and Transportation Network Companies (TNCs) are important components of the urban transportation system. An accurate short-term forecast of passenger demand can help operators better allocate taxi or TNC services to achieve supply–demand balance in real time. As a result, drivers can improve the efficiency of passenger pick-ups, thereby reducing traffic congestion and contributing to the overall sustainability of the program. Previous research has proposed sophisticated machine learning and neural-network-based models to predict the short-term demand for taxi or TNC services. However, few of them jointly consider both modes, even though the short-term demand for taxis and TNCs is closely related. By enabling information sharing between the two modes, it is possible to reduce the prediction errors for both. To improve the prediction accuracy for both modes, this study proposes a multi-task learning (MTL) model that jointly predicts the short-term demand for taxis and TNCs. The model adopts a gating mechanism that selectively shares information between the two modes to avoid negative transfer. Additionally, the model captures the second-order spatial dependency of demand by applying a graph convolutional network. To test the effectiveness of the technique, this study uses taxi and TNC demand data from Manhattan, New York, as a case study. The prediction accuracy of single-task learning and multi-task learning models are compared, and the results show that the multi-task learning approach outperforms single-task learning and benchmark models. Full article
(This article belongs to the Special Issue Sustainable Transportation and Data Science Application)
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<p>Single-task learning model (base model).</p>
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<p>LSTM cell structure.</p>
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<p>(<b>a</b>) Multi-task learning model, (<b>b</b>) Gated Sharing Unit [<a href="#B44-sustainability-16-02065" class="html-bibr">44</a>].</p>
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<p>Demand correlation of taxis and TNCs at different temporal levels. (<b>a</b>) Monthly demand correlation, (<b>b</b>) Daily correlation for day of the week, (<b>c</b>) Hourly correlation for weekdays, (<b>d</b>) Hourly correlation for weekends.</p>
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<p>Total temporal demand for taxis and TNCs. (<b>a</b>) Total monthly demand, (<b>b</b>) Total daily demand for day of the week, (<b>c</b>) Total hourly demand on weekdays, (<b>d</b>) Total hourly demand for weekends.</p>
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<p>Demand correlation for taxis and TNCs.</p>
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<p>Real and forecasted demand for (<b>a</b>) taxis, (<b>b</b>) TNCs.</p>
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26 pages, 5972 KiB  
Article
Autonomous Gate Drivers Tailored for Triangular Current Mode-Based Zero-Voltage Switching Two-Level Three-Phase Inverters for Electric Vehicle Drive Systems
by Khizra Abbas and Hans-Peter Nee
Energies 2024, 17(5), 1060; https://doi.org/10.3390/en17051060 - 23 Feb 2024
Cited by 1 | Viewed by 800
Abstract
The demand for highly efficient and dynamic electric vehicles (EVs) has increased dramatically. The traction inverter, a pivotal component in an EV powertrain, plays a crucial role. This study is dedicated to designing a traction inverter with focus on achieving high efficiency and [...] Read more.
The demand for highly efficient and dynamic electric vehicles (EVs) has increased dramatically. The traction inverter, a pivotal component in an EV powertrain, plays a crucial role. This study is dedicated to designing a traction inverter with focus on achieving high efficiency and elevated power density and mitigating electromagnetic interference (EMI) issues. To realize these objectives, autonomous gate drivers (AGDs) are proposed and designed using LTspice simulation software. The aim is to achieve zero voltage switching (ZVS) at both turn-on and turn-off through the utilization of triangular current mode (TCM) control on the gate driver. The AGDs implement a current modulation scheme by sensing the current and voltage and generating gate-source voltage signals with minimal delays. The implemented current modulation scheme by the AGDs results in an efficiency exceeding 99% for a 10 kW power rating. The sinusoidal output waveforms not only contribute to extending the motor lifespan by mitigating sharp-edge voltages but also bring advantages such as reduced switch stress, decreased EMI, and simplified thermal management. Full article
(This article belongs to the Special Issue Modeling, Control and Design of Power Electronics Converters)
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<p>Schematic representation of the proposed inverter.</p>
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<p>Switch (<math display="inline"><semantics> <msub> <mi>S</mi> <mn>1</mn> </msub> </semantics></math>) is conducting a positive current. (<b>a</b>) Positive current direction in a single-phase half-bridge inverter. (<b>b</b>) Highlighted switch current direction in the TCM of the filter inductor.</p>
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<p>Blanking time-I. (<b>a</b>) Current directions during charging of <math display="inline"><semantics> <msub> <mi>C</mi> <mn>1</mn> </msub> </semantics></math> and discharging of <math display="inline"><semantics> <msub> <mi>C</mi> <mn>2</mn> </msub> </semantics></math> in a single-phase half-bridge inverter. (<b>b</b>) Highlighted blanking time (<math display="inline"><semantics> <msub> <mi>t</mi> <mrow> <mi>b</mi> <mn>1</mn> </mrow> </msub> </semantics></math>) in the TCM of the filter inductor.</p>
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<p>Body diode (<math display="inline"><semantics> <msub> <mi>D</mi> <mn>2</mn> </msub> </semantics></math>) is conducting a positive current. (<b>a</b>) Positive current direction in a single-phase half-bridge inverter. (<b>b</b>) Highlighted diode current direction in the TCM of the filter inductor.</p>
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<p>Switch (<math display="inline"><semantics> <msub> <mi>S</mi> <mn>2</mn> </msub> </semantics></math>) is conducting a positive current. (<b>a</b>) Positive current direction in a single-phase half-bridge inverter. (<b>b</b>) Highlighted switch current direction in the TCM of the filter inductor.</p>
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<p>Switch (<math display="inline"><semantics> <msub> <mi>S</mi> <mn>2</mn> </msub> </semantics></math>) is conducting a negative current. (<b>a</b>) Negative current direction in a single-phase half-bridge inverter. (<b>b</b>) Highlighted switch current direction in the TCM of the filter inductor.</p>
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<p>Blanking time-II. (<b>a</b>) Current directions during discharging of <math display="inline"><semantics> <msub> <mi>C</mi> <mn>1</mn> </msub> </semantics></math> and charging of <math display="inline"><semantics> <msub> <mi>C</mi> <mn>2</mn> </msub> </semantics></math> in a single-phase half-bridge inverter. (<b>b</b>) Highlighted blanking time (<math display="inline"><semantics> <msub> <mi>t</mi> <mrow> <mi>b</mi> <mn>2</mn> </mrow> </msub> </semantics></math>) in the TCM of the filter inductor.</p>
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<p>Body diode (<math display="inline"><semantics> <msub> <mi>D</mi> <mn>1</mn> </msub> </semantics></math>) is conducting a negative current. (<b>a</b>) Negative current direction in a single-phase half-bridge inverter. (<b>b</b>) Highlighted diode current direction in the TCM of the filter inductor.</p>
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<p>Switch (<math display="inline"><semantics> <msub> <mi>S</mi> <mn>1</mn> </msub> </semantics></math>) is conducting a negative current. (<b>a</b>) Negative current direction in a single-phase half-bridge inverter. (<b>b</b>) Highlighted switch current direction in the TCM of the filter inductor.</p>
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<p>Schematic diagram of AGDs.</p>
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<p>Motor control scheme for generation of reference currents.</p>
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<p>Operation of the proposed AGD. (<b>a</b>) Generation of turn-on signal. (<b>b</b>) Generation of turn-off signal. (<b>c</b>) Generation of <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> </semantics></math> signal.</p>
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<p>Adaptive blanking time for high-side (<math display="inline"><semantics> <msub> <mi>S</mi> <mn>1</mn> </msub> </semantics></math>) and low-side (<math display="inline"><semantics> <msub> <mi>S</mi> <mn>2</mn> </msub> </semantics></math>) switches. The dark blue rectangle represents <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> </semantics></math> of the low-side switch (<math display="inline"><semantics> <msub> <mi>S</mi> <mn>2</mn> </msub> </semantics></math>), while the light blue rectangle represents <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> </semantics></math> of the high-side switch (<math display="inline"><semantics> <msub> <mi>S</mi> <mn>1</mn> </msub> </semantics></math>). The red curve represents the filter inductor current.</p>
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<p>Filter inductor current with (<b>a</b>) reference currents and (<b>b</b>) average output current.</p>
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<p>Variations in switching frequency based on filter inductor current (red) and impact of filter inductor current on capacitor voltage ripples (dark blue) in one line cycle from 20 ms to 40 ms at (<b>a</b>) 20 ms, (<b>b</b>) 25 ms, (<b>c</b>) 30 ms, (<b>d</b>) 35 ms.</p>
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<p>Turn-on ZVS analysis.</p>
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<p>Turn-off switching losses for one line cycle (50 Hz, 20 ms): (<b>a</b>) 20 ms, (<b>b</b>) 22 ms, (<b>c</b>) 24 ms, (<b>d</b>) 26 ms, (<b>e</b>) 28 ms, (<b>f</b>) 30 ms, (<b>g</b>) 32 ms, (<b>h</b>) 34 ms, (<b>i</b>) 36 ms, (<b>j</b>) 38 ms.</p>
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<p>Estimation of switching energies for one line cycle (50 Hz, 20 ms) with equally distributed 10 points. (<b>a</b>) Turn-on switching energy. (<b>b</b>) Turn-off switching energy.</p>
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<p>Inverter power losses breakdown.</p>
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<p>Sinusoidal output waveforms of phase currents, phase voltages, and line voltages.</p>
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<p>Harmonic spectrum: (<b>a</b>) phase current (<math display="inline"><semantics> <msub> <mi>I</mi> <mi>an</mi> </msub> </semantics></math>) and (<b>b</b>) line voltage (<math display="inline"><semantics> <msub> <mi>V</mi> <mi>ab</mi> </msub> </semantics></math>).</p>
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<p>Variation in filter inductor current ripples due to changes in reference currents: (<b>a</b>) 140 A, (<b>b</b>) 124 A, (<b>c</b>) 104 A, (<b>d</b>) 80 A.</p>
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<p>Variation in phase current (average inductor current) due to changes in reference currents: (<b>a</b>) 35 A, (<b>b</b>) 31 A, (<b>c</b>) 26 A, (<b>d</b>) 20 A.</p>
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<p>Variation in phase voltages due to changes in reference currents: (<b>a</b>) 225 V, (<b>b</b>) 200 V, (<b>c</b>) 170 V, (<b>d</b>) 134 V.</p>
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<p>Variation in efficiency with changes in load power.</p>
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<p>Impact of die area on conduction losses (red dash curve) and switching losses (black dash-dotted curve) for the hard-switched converter.</p>
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