사각형입니다.

https://doi.org/10.6113/JPE.2018.18.4.1255

ISSN(Print): 1598-2092 / ISSN(Online): 2093-4718



Influence of Parasitic Parameters on Switching Characteristics and Layout Design Considerations of SiC MOSFETs


Haihong Qin, Ceyu Ma*, Ziyue Zhu*, and Yangguang Yan*


†,*Center for More Electric Aircraft Power System, Nanjing University of Aeronautics and Astronautics, Nanjing, China



Abstract

Parasitic parameters have a larger influence on Silicon Carbide (SiC) devices with an increase of the switching frequency. This limits full utilization of the performance advantages of the low switching losses in high frequency applications. By combining a theoretical analysis with a experimental parametric study, a mathematic model considering the parasitic inductance and parasitic capacitance is developed for the basic switching circuit of a SiC MOSFET. The main factors affecting the switching characteristics are explored. Moreover, a fast-switching double pulse test platform is built to measure the individual influences of each parasitic parameters on the switching characteristics. In addition, guidelines are revealed through experimental results. Due to the limits of the practical layout in the high-speed switching circuits of SiC devices, the matching relations are developed and an optimized layout design method for the parasitic inductance is proposed under a constant length of the switching loop. The design criteria are concluded based on the impact of the parasitic parameters. This provides guidelines for layout design considerations of SiC-based high-speed switching circuits.


Key words: Layout design, Parasitic capacitance, Parasitic inductance, Silicon Carbide (SiC)


Manuscript received Jul. 3, 2017; accepted Feb. 26, 2018

Recommended for publication by Associate Editor Sang-Won Yoon.

Corresponding Author: qinhaihong@nuaa.edu.cn Tel: +86-13951772239, Nanjing Univ. of Aeronautics and Astronautics

*Center for More Electric Aircraft Power System, Nanjing University of Aeronautics and Astronautics, China



Ⅰ. INTRODUCTION

When compared with Silicon (Si) based power electronic devices, Silicon Carbide (SiC) materials have a wider band gap, higher electron mobility and higher thermal conductivity. As a result, SiC MOSFETs have a lower resistance, higher blocking voltage and junction temperature, and they have no current trails when compared with Si IGBT. This can reduce the switching losses, improve the switching speed and significantly improve the performance of power electronic converters. A high switching frequency is one of the most important directions in terms of application research for SiC devices [1], [2]. With an increase of the switching frequency, the influences of the parasitic parameters on the dynamic switching process of a device becomes more serious, resulting in oscillations in the switching transient and increasing the device stress and electromagnetic interference (EMI). Thus, it cannot give full play to the performance advantages of low switching losses under a high switching speed for SiC devices [3].

In recent years, many scholars have studied the influences of circuit parasitic parameters on the switching characteristics of SiC devices. Most of the research methods are divided into the following three types. For the first type, the parasitic parameters are considered as a network. The parasitic parameters of the circuit or power module are extracted, and the influences of parasitic parameters are simulated by modeling and simulation. The influences of each part of the parasitic parameters have not been studied. The effects of the parasitic parameters on the switching characteristics of SiC devices are not definite [4], [5]. For the second type, a theoretical analysis is made on the influence of the parasitic parameters of each part. However, the nonlinearity of the switching device and the parasitic parameters of the actual circuit lead to a relatively high order for the model. For ease analysis, some approximations and assumptions are required. The theoretical analysis results are usually complex, and the influences of the parasitic parameters cannot be directly derived from the expression. Moreover, the lack of experimental verification is also an unavoidable problem. Thus, theoretical analysis is of little use for the actual circuit design [6]. For the third type, the experimental method is used to test the effect of the parasitic parameters on the switching characteristics. However, the actual layout limitation is not taken into consideration when setting the value of the parasitic inductance. Only the influence of a single parasitic inductance is studied. The results are still not enough to support appropriate layout designs of the switching circuit for SiC devices [7].

Considering that the accuracy of SiC device modeling is affected by the parasitic parameters of the circuit, it is difficult to get close to real results by theoretically analyzing. Therefore, in this paper, the method of combining a theoretical qualitative analysis with experimental quantitative research is proposed. First, a mathematical model of a SiC MOSFET based a switching circuit considering parasitic parameters is established. The main factors affecting the switching characteristics are confirmed. Then a SiC MOSFET based high-speed double pulse test platform is set up and the influences of the parasitic parameters on the switching performance of the SiC devices is studied. Based on the concept of the current loop, the parasitic inductance of each part is classified into three categories, the main circuit parasitic inductance LD, the gate circuit parasitic inductance LG and the common source parasitic inductance LS. In addition, the parasitic capacitances are classified into four categories, the gate-source capacitance CGS, the gate-drain capacitance CGD, and the drain-source capacitances CDS and CJ. Combined with the actual circuit layout, taking the range of the parasitic parameters into account, the influence rules of the parasitic parameters on the characteristics of SiC MOSFET switches are revealed from the prospective of the switching time, the oscillations and the spikes. In addition, the influence extent of the parasitic parameters is quantified. On this basis, according to the limits of the actual layout of a SiC high-speed switching circuit, the matching relationship between the parasitic inductance for each of the parts is studied when the compact degree or total length of the loop line stays the same. By comparing the variation of the switching speed, the switching energy, and the voltage and current stresses of SiC devices with different parasitic parameters, the characteristics of the switching process for SiC devices under the influence of parasitic parameters are concluded. This can then be used to guide the layout design of SiC based high-speed switching circuits.



Ⅱ. MODELING AND ANALYSIS OF SIC MOSFET SWITCHING CHARACTERISTICS

A principle diagram of the SiC MOSFET double pulse test circuit with parasitic parameters is shown in Fig. 1. Q is the SiC MOSFET. CGS, CGD and CDS are the gate-source, gate- drain and drain-source parasitic capacitances, relatively. CJ is the parasitic capacitance of the freewheeling diode D1. LG is the parasitic inductance between the gate drive circuit and the gate pin, LS is the parasitic inductance between the source pin and the gate drive circuit, and LL is the load inductor. The parasitic inductance in the main circuit includes the distribution inductance of the drain pin Ld1, the parasitic inductance of the diode Ls1, and the PCB route parasitic inductances Ld2 and Ls2. Ri and RG are the internal gate parasitic resistance and external drive resistance of the SiC MOSFET. By Faraday's law of electromagnetic induction, it is known that a closed current loop formed by wires produces parasitic inductances, rather than the wire itself [8]. According to this concept, it is possible to simplify the inductance of the main circuit. The parasitic inductance of the main power circuit loop is LD=Ld1+Ld2+Ls1+Ls2. Thus, the parasitic inductance is classified into three categories, the parasitic inductance of the main power circuit loop LD, the gate circuit parasitic inductance LG and the common source parasitic inductance LS. The induced voltage caused by the parasitic inductance LG is obtained by Equ. (1) [7].

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Fig. 1. Schematic of the double pulse circuit of a SiC MOSFET considering each of the parasitic parameters.


Where ΔUG(max) is the maximum allowable gate oscillation peak voltage. The maximum allowable drain peak current caused by the gate voltage spike is limited by (2).

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Where gfs is the transconductance and IN is the rated current. Therefore, the gate circuit parasitic inductance LG can be simplified as follows:

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Take a 1200V/35A SiC MOSFET as an example, gfs=3S. When diG/dt=4A/100ns and the rated current IN=20A, the gate circuit parasitic inductance LG should be lower than 13nH. Therefore, in practical designs, there is an urgent need for reducing the gate stray inductance. The greater the current rating of the main power circuit, the larger the peak drive current and the higher diG/dt need to be. Therefore, the parasitic inductance of the gate circuit must be smaller. In other words, it is necessary to ensure that the parasitic parameters of the gate circuit are very small for the proper design of the driving circuit. Thus, the influence of the parasitic inductance of the gate circuit on the power circuit can be significantly reduced. Therefore, in order to facilitate the analysis and derivation of mathematical models, the order is reduced by ignoring the gate parasitic inductance LG for a moment. A simplified equivalent circuit is obtained as shown in Fig. 2.


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Fig. 2. Simplified equivalent schematic of a double pulse circuit.


Because SiC MOSFETs operate in the saturation area during switching transients, the drain current is obtained as follows:

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UTH is the threshold voltage for the SiC MOSFET, and gfs is the trans-conductance. Induced voltage is generated on LS and LD due to the high diD/dt during switching transients. The voltage stress on the SiC MOSFET is the input voltage UDC superimposed with this induced voltage. Thus, the equation of the switching circuit is:

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The equation of the gate circuit is given by:

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The second-order differential equation of the gate source voltage uGS(t) is obtained as Equ. (7) by combining Equ. (5) and Equ. (6).

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Applying a Laplace transform and solving the differential equation, the subsection expression of uGS(t) is expressed by following equations:

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Where y1=RGCGDgfs(LD+LS), y2=RG(CGS+CGD)+LSgfs, 그림입니다.
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The initial conditions of the equations are UGH(1)=UGH+, UGH(2)=UGH+-UTH for the turn-on transient, and UGH(1)=UGH-, UGH(2)= -(IL/gfs+ UTH) for the turn-off. UGH+ and UGH- are the positive voltage and negative voltage provided by the gate drive circuit, respectively. Combining the solution of uGS(t) with Equ. (4) and Equ. (5), the solution of the drain current and drain source voltage can be obtained. However, the solution of the gate source voltage depends on the initial conditions and the parameters of the driving circuit. Therefore, it is difficult for the theoretical analysis results to show the influence of the parasitic inductance on the switching characteristics. In the limit cases, if 4y1>>y22, the gate source voltage can be simplified as:

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The change rate of the leakage current is given by:

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The overshoot of the turn-off voltage oscillation is given by:

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If 4y1<<y22, the gate source voltage can be simplified as:

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The overshoot of the turn-off voltage oscillation is given by:

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From the above discussions, it can be known that the switching characteristics are mainly influenced by the drain and source parasitic inductances LD and LS, as well as the gate-drain capacitance CGD and the gate-source capacitance CGS. With an increase of the parasitic inductance (LD+LS), the change rate of the drain current decreases, and the peak voltage of the turn-off transient increases. In the extreme case when 4y1<<y22, with an increase of the parasitic inductance LS when the influence of gfsLS is in a dominant position, the peak voltage of the turn-off transient decreases. However, when LS keeps increasing, the importance of gfsLS decreases. Therefore, the peak voltage of the turn-off transient becomes nearly constant.



Ⅲ. INFLUENCE OF PARASITIC INDUCTANCE ON THE SWITCHING CHARACTERISTICS

In order to quantify the influence of the parasitic inductance on the switching process, a double pulse circuit test platform was built. Fig. 3(a) and Fig. 3(b) show the schematic and prototype. The device under test is a 1200V/35A SiC MOSFET SCH2080KE from ROHM Co. The diode DH is a SiC Schottky Barrier Diode (SBD) SCS210KG to reduce the influence of the reverse recovery current and to suppress the leakage current spikes caused by the diode. When the SiC MOSFET is switched on, the charge current generated by the equivalent parallel capacitance and the junction capacitance of the diode cause spikes in the drain current, which affects the accuracy of the test results. Therefore, a single-turn winding is used to reduce the equivalent parasitic capacitance. Voltage and current waveforms of the power device are measured by a high voltage differential probe (P5201) and a high frequency current probe (TCP2020) from Tektronix Co. The P5201 is connected directly to the gate and source of QL. The TCP2020 detects the drain current of QL by a piece of yellow wire as shown in Fig. 3(b). The oscilloscope used is a Tektronix DPO3034, and the switching conditions are as follows: UDC=600V, L=180μH, the positive driving voltage is set to +18V, and the negative driving voltage is set to -2.6V. The total pulse time for the two pulses is Δtp=5µs, and the maximum inductance current is ILmax=17A when UDC=600V.


Fig. 3. Images showing: (a) Schematic of the double pulse test circuit; (b) Experimental platform.

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A. The Influence of the Gate Parasitic Inductance LG

In order to analyze the influence of parasitic inductance on switching characteristics, small inductors were fabricated to simulate parasitic inductance. The test values of the four kinds of small inductors were 25nH, 50nH, 79nH and 95nH. The small inductors were connected between the gate pin and the drive circuit. Fig. 4 shows waveforms of the gate-source voltage uGS, drain-source voltage uDS and drain current iD with different gate parasitic inductances LG. The gate parasitic inductance LG was resonant with the input capacitance Ciss(=CGS+CGD) (the damping coefficient그림입니다.
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Fig. 4. Switching waveforms of uGS, uDS and iD under different values of LG: (a) Turn-on waveforms; (b) Turn-off waveforms.

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From the above discussion, it can be known that LG has a great influence on the gate circuit. However, it has little influence on the power circuit. The main purpose of reducing LG is to avoid the large gate-source voltage spikes or the shoot-through caused by erroneous triggering of switches during the turn-off transient. Due to the fact that the design of the driving circuit guaranteed a very small gate parasitic inductance, the influence on the power circuit has been limited. It further illustrates the practical feasibility of the theoretical derivation while ignoring LG in Fig. 2.


B. The Influence of the Drain Parasitic Inductance LD

In high speed switching processes, the change rate of the drain current (di/dt) is very high, and the induction electromotive force is induced on the drain parasitic inductance. The direction of the induced electromotive force is opposite that of the bus voltage during a turn-on transient. Therefore, the drain source voltage is reduced by ULD=LD·di/dt. The direction of the induced electromotive force is the same as that of the bus voltage during a turn-off transient, which is superimposed on the drain-source voltage of the switches and causes voltage spikes. In addition, during a switching transient, the power circuit parasitic inductance LD is resonant with the output capacitance COSS(=CGD+CDS) of the SiC MOSFET, the junction capacitance of the diode and the parasitic capacitance of the inductor. Furthermore, the oscillation can be coupled with the gate circuit by the Miller capacitance, causing oscillations on uDS, uGS and iD. The drain parasitic inductance is simulated by small inductances of 25nH, 50nH, 79nH and 90nH connected to the drain of the SiC MOSFET.

Fig. 5 shows waveforms of the gate-source voltage uGS, drain-source voltage uDS and drain current iD with different drain parasitic inductances LD. With an increase of LD, the amplitude of the oscillation for iD increases. However, uDS is essentially unchanged during turn-on transients. In addition, during a turn-off transient, the amplitudes of the oscillations for both iD and uDS increase, as well as the turn-off energy.


Fig. 5. Switching waveforms of uGS, uDS and iD under different values of LD: (a) Turn-on waveforms; (b) Turn-off waveforms.

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C. The Influence of the Source Parasitic Inductance LS

The change rate of the source current di/dt during high speed switching induces an electromotive force in the opposite direction to the driving voltage. Therefore, the amplitudes of the driving voltage for turn-on and turn-off transients are reduced, which slows down the switching speed. It also causes negative feedback between the main circuit and the drive circuit. The source parasitic inductance is simulated by small inductances of 25nH, 50nH, 79nH and 90nH connected to the source of the SiC MOSFET. Fig. 6 shows waveforms of the gate-source voltage uGS, the drain-source voltage uDS and the drain current iD with different source parasitic inductances LS. As shown in Fig. 6, LS has an obvious effect and causes a significant delay on the turn-on and turn-off times.


Fig. 6. Switching waveforms of uGS, uDS and iD under different values of LS: (a) Turn-on waveforms; (b) Turn-off waveforms.

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D. Quantitative Analysis of the Influence of Parasitic Inductance


1) The Influence on the Voltage and Current Overshoot:

In order to compare the influences of different parasitic inductances on the switching characteristics, the relationships between the voltage and current overshoot with different values of LG, LD and LS are given in Fig. 7. Consistent with the foregoing analysis, the effects of LG on uDS and iD are not obvious. With an increase of LG, the amplitude of the oscillation of uDS and iD stays nearly the same. However, LD and LS have a significant influence on uDS and iD. As shown in Equ. (13), the overshoot of the turn-off voltage oscillation is related to three parasitic parameters: CGD, LD and LS. For the parasitic inductance, when LD is increased, ΔUoff increases. When LS is increased, ΔUoff decreases. The experimental results are in good agreement with the theoretical analysis, as shown in Fig. 7(b). The turn-off overshoot increases with an increase of LD and decreases with an increase of LS. The negative feedback effect caused by LS in the drive circuit has a suppressing effect on the oscillation caused by LD.


Fig. 7. Relationship curve of voltage and current overshoot versus parasitic inductance: (a) Overshoot of uDS during turn-on transients; (b) Overshoot of iD during turn-on transients.

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2) The Influence on the Switching Time:

Fig. 8 shows the impacts of LG, LD and LS on the turn-on and turn-off times. As shown in Equ. (14), uGS is mainly determined by CGS, CGD and LS, while LG and LD have almost no influence on uGS. With an increase of LS, the turn-on and turn-off times are significantly increased. As can be seen in Fig. 8, the impacts of LG and LD on switching time are not obvious.


Fig. 8. Relationship curves of the turn-on and turn-off times versus the parasitic inductance: (a) Turn-on time; (b) Turn-off time.

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3) The Influence on the Turn-On and Turn-Off Energy:

Fig. 9 shows the relationship between the switching energy losses and the parasitic inductance. With an increase of LG, the turn-on and turn-off energy barely changes. With an increase of LD, the turn-on and turn-off energy slightly decrease. Due to negative feedback, LS has a great influence on the switching energy. When LS is 95nH, the total switching energy is about 3 times LD with the same inductance.

From the above analysis, it can be seen that in the case of high speed switching, the gate parasitic inductance LG has a great influence on oscillations in the gate circuit. However, it has little influence in the power circuit. The drain parasitic inductance LD has a great influence on the current spikes and turn-off voltage spikes. It also has a certain effect on the oscillation of the waveform. A negative feedback effect is formed between the main circuit and the gate circuit through the source parasitic inductance LS, which can restrain the oscillation and voltage spike caused by LD. However, it also reduces the change rate of the drain current, which significantly affects the switching speed and switching energy.


Fig. 9. Relationship curves of the turn-on and turn-off energy losses versus the parasitic inductance: (a) Turn-on energy; (b) Turn-off energy; (c) Total switching energy.

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Ⅳ. OPTIMIZED LAYOUT DESIGN METHOD OF THE PARASITIC INDUCTANCE

In high-speed switching drive circuits, the layout of the drive circuit and the main power circuit needs to be more compact. However, the PCB routes are limited by the actual layout. Therefore, it is difficult to take account of all the parasitic inductance at the same time. Due to the high priority of a compact layout, the total length of the loop routes is limited. Therefore, a comprehensive consideration between LS and LD is needed. Thus, the characteristics of the switching circuit can be optimized to meet the system performance requirements. In the experiments, four different combinations of LD and LS are selected (see in Table I) while keeping the sum of LD and LS almost unchanged.


TABLE I DIFFERENT COMBINATIONS OF LD AND LS

Group Number

1

2

3

4

Experiment

Condition

LS=40nH

LD=120nH

LS=56nH

LD=104nH

LS=80nH

LD=80nH

LS=104nH

LD=56nH


Fig. 10 shows switching waveforms with different combinations of LD and LS. The relationship between diD/dt and LS during a switching transient is shown in Fig. 11 with a constant sum of LD and LS. During the turn-on process, the rising speed of uGS is reduced with an increase of LS, a rising speed of iD and a falling speed of uDS. As a result, the turn-on speed of the SiC MOSFET is reduced. Therefore, the energy of turn-on transient increases with an increase of LS as shown in Fig. 12.


Fig. 10. Switching waveforms of uGS, iD and uDS under different values of LS (under a constant sum of LD and LS): (a) Turn-on waveforms; (b) Turn-off waveforms.

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Fig. 11. Relationship curve of the switching speed under different values of LS (under s constant sum of LD and LS): (a) Turn-on speed; (b) Turn-off speed.

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Fig. 12. Comparison of the switching energy under different values of LS (under a constant sum of LD and LS).


In the turn-off process, when the sum of LD and LS is constant, with an increase of LS, the falling speed of uGS is also decreased. Therefore, the falling speed of iD and the rising speed of uDS are reduced and the turn-off speed is reduced, as shown in Fig. 11(b). These experimental results also verify Equ. (14). Since LD+LS stays constant, the turn-off voltage overshoot is determined by LS. With an increase of LS, the turn-off energy increases. However, the voltage spike in turn-off transients decreases. The overshoot of uDS during a turn-off transient and the overshoot of iD during a turn-on transient are given in Fig. 13 with different combinations of LD and LS. With an increase of LS, the overshoots of uDS and iD are reduced.


Fig. 13. Relationship curves of voltage and current overshoots under different values of LS (under a constant sum of LD and LS): (a) Overshoot of uDS during a turn-off transient; (b) Overshoot of iD during a turn-on transient.

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From the above experimental results analysis, it can be seen that when the layout has been limited by actual factors and the sum of LD and LS cannot be further reduced, the distribution of LD and LS should be carefully considered to meet the requirements of the actual circuit. The basic laws are as follows. (1) If LS increases and LD decreases, the voltage spike in a turn-off transient and the current spike in a turn-on transient significantly decrease. However, due to the negative effect of LS, the switching time increases, resulting in a significant increase in the switching energy loss. (2) If LD increases and LS decreases, the switching energy is reduced. However, this also increases the voltage spike in a turn-off transient and the current spike in a turn-on transient, which increases the voltage and current stresses of the SiC MOSFET.

Therefore, when the PCB layout is limited by physical constraints, it is necessary to optimize the design according to the requirements. If the purpose is to reduce the voltage and current spike, reducing LS and increasing LD appropriately is a good choice. However, when a low switching energy loss is needed, it is helpful to reduce LD and increase LS.

Fig. 14(a) and Fig. 14(b) show the top layer and bottom layer of the proposed layout design for a SiC MOSFET driver, respectively. Since LG influences the gate-source voltage spike, the length of the gate loop should be as short as possible. As shown in Fig. 14(a), the gate and source connectors are three pins in parallel, which can minimize LS and LG introduced by pins. LS plays a more important role in the switching characteristics when compared with LG. Therefore, as shown in Fig. 14(b), in order to achieve a higher switching speed, the driver output area has been covered with copper connected to the source.


Fig. 14. Layout design of a SiC MOSFET driver: (a) Top layer; (b) Bottom layer.

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Ⅴ. INFLUENCE OF PARASITIC CAPACITANCE ON THE SWITCHING CHARACTERISTICS

The capacitances of SiC MOSFETs have a significant influence on the waveforms during switching transients. There are three parasitic capacitances in a SiC MOSFET: the gate-source capacitance CGS, the gate-drain capacitance CGD and the drain-source capacitance CDS. In order to quantify the influence of the parasitic capacitances on the switching process, voltage and current waveforms of the power device are measured P5201 and TCP2020 just like in section IV. The switching conditions are the same as in section IV: UDC=600V, L=180μH, the positive driving voltage is set to +18V, and the negative driving voltage is set to -2.6V. The total pulse time for the two pulses is Δtp=5µs, and the maximum inductance current is ILmax=17A when UDC=600V.


A. The Influence of the Gate-source Capacitance CGS

Small capacitors are paralleled between electrodes to simulate the parasitic capacitance of a SiC MOSFET in order to analyze the influence of the parasitic capacitance on the switching characteristics. The test values of the four kinds of small capacitors are 2.2nF, 3.3nF, 6.8nF and 18.0nF. Fig. 15 shows waveforms of the gate-source voltage uGS, drain- source voltage uDS and drain current iD with different gate- source parasitic capacitors CGS. Because the gate-source parasitic capacitor CGS is a part of the input capacitance Ciss(=CGS+CGD), it is resonant with the gate parasitic inductance (the damping coefficient그림입니다.
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Fig. 15. Switching waveforms of uGS, uDS and iD under different values of CGS: (a) Turn-on waveforms; (b) Turn-off waveforms.

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With an increase of CGS, as shown in Fig. 16 and Fig. 17, the turn-on time ton and turn-off time toff of a SiC MOSFET are increased. In addition, the turn-on energy and turn-off energy are also increased. As shown in Fig. 18, the turn-on current spikes and turn-off voltage spikes are also slightly increased.


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Fig. 16. Turn-on and turn-off times under different values of CGS.


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Fig. 17. Turn-on and turn-off energy under different values of CGS.


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Fig. 18. Voltage overshoot for uDS and current overshoot for iD under different values of CGS.


B. The Influence of the Gate-drain Capacitance CGD

Because the value of the Miller capacitance CGD is two orders of magnitude smaller than that of CGS, the influence on the switching waveform for CGD can be ignored when compared with CGS. However, the Miller platform is largely determined by CGD. According to an analysis of the ideal switching process, the length of the Miller platform effects the falling speed during a turn-on transient and the rising speed during a turn-off transient for uDS. As shown in Fig. 19(a), in the turn-on time, with an increase of CGD, the falling rate of uDS decreases. However, the rising rate of the drain current does not change. As shown in Fig. 19(b), in the turn-off time, with an increase of CGD, the length of the Miller platform is extended and the rising rate of uDS is decreased. Since the drain current iD does not decrease until uDS rises to the DC bus voltage, iD is delayed by an increase of CGD. However, the current rate di/dt stays the same.


Fig. 19. Switching waveforms of uGS, uDS and iD under different values of CGD: (a) Turn-on waveforms; (b) Turn-off waveforms.

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Due to the Miller effect, a small increase of CGD can result in a significant increase of the turn-on and turn-off times, as well as a large increase in the turn-on and turn-off losses, as shown in Fig. 20 and Fig. 21. However, with an increase of CGD, as shown in Fig. 22, the turn-on current spikes and turn-off voltage spikes barely change since CGD accounts for a small portion of Ciss when compared with CGS.


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Fig. 20. Turn-on and turn-off times under different values of CGD.


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Fig. 21. Turn-on and turn-off energy under different values of CGD.


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Fig. 22. Voltage overshoot for uDS and current overshoot for iD under different values of CGD.


C. The Influence of the Drain-source Capacitance CDS

The additional drain-source parasitic capacitance CDS is simulated by paralleling capacitance between the drain and source pins. As shown in Fig. 23(a), in the turn-on time, with an increase of CGD from 680pF to 1.5nF, the turn-on waveform stays almost the same. In addition, the du/dt for uDS and the di/dt for iD stay nearly the same. Furthermore, an increase of CGD has nearly no effect on the oscillation. This is due to the fact that during turn-on transients, the oscillation is mostly determined by the series resonance with LD, LS and CJ. As shown in Fig. 23(b), in the turn-off time, with an increase of CGD, the du/dt for uDS decreases, and the oscillations for uDS and iD increase. This is due to the fact that during a turn-off transient, the main power circuit can be seen as having a series resonant between LD, LS and COSS(=CDS+CGD). With an increase of CDS, COSS increases and the resonant frequency decreases. However, the resonance amplitude significantly increases.


Fig. 23. Switching waveforms of uGS, uDS and iD under different values of CDS: (a) Turn-on waveforms; (a) Turn-off waveforms.

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With an increase of CDS from 680pF to 1.5nF, the turn-on time is almost unchanged while the turn-off time increases from 20ns to 80ns, as shown in Fig. 24. Therefore, as shown in Fig. 25, the turn-on loss barely changes, while the turn off loss increases from about 60μJ to 160μJ. However, with an increase of CDS, as shown in Fig. 26, the turn-on current spikes slightly increases from 3.0A to 3.5A while the turn-off voltage overshoot decreases from 90V to 70V. Moreover, during turn-off transients, a significant oscillation appeared when iD decreased to zero, and the amplitude of the oscillation increased a lot with an increase of CDS. This was due to the resonant caused by LD, LS and COSS.


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Fig. 24. Turn-on and turn-off times under different values of CDS.


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Fig. 25. Turn-on and turn-off energy under different values of CDS.


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Fig. 26. Voltage overshoot for uDS and current overshoot for iD under different values of CDS.


D. The Influence of the Parasitic Capacitance CJ

CJ is the parasitic capacitance of the freewheeling diode D1 and the inductor LL. CJ effects the switching speed, voltage spikes, current spikes and switching energy. The influences of different values of CJ on the switching process are showed in Fig. 27 and Fig. 28. Fig. 27 shows switching waveforms of uGSuDS and iD under different values of CJ. With an increase of CJ, the peak current and the oscillation amplitude increase during turn-on transients. When the switch turns off, with an increase of CJ, it needs to draw more current to discharge CJ. Therefore, the di/dt of the drain current increases. In addition, with an increase of CJ, the rising speed for uDS slightly decreased. Fig. 28 indicates that with an increase of CJ, the turn-on and turn-off times increased. Fig. 29 shows the turn-on and turn-off energy under different values of CJ. With an increase of CJ, the turn-on energy increased but the turn-off energy decreased. Fig. 30 shows the influence of CJ on the voltage overshoot during turn-off transients and the current overshoot during turn-on transients. The current overshoot increased while the voltage overshoot decreased with an increase of CJ.


Fig. 27. Switching waveforms of uGS, uDS and iD under different values of CJ: (a) Turn-on waveforms; (a) Turn-off waveforms.

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Fig. 28. Turn-on and turn-off times under different values of CJ.


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Fig. 29. Turn-on and turn-off energy under different values of CJ.


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Fig. 30. Voltage overshoot for uDS and current overshoot for iD under different values of CJ.


From the above analysis, it can be seen that in the case of high speed switching, the gate-source parasitic capacitance CGS has a negative influence on the turn-on and turn-off times, and a slight influence on the current spikes and voltage spikes. The gate-drain parasitic capacitance CGD has a large influence on the turn-on and turn-off times, but little influence on the current spikes and voltage spikes. The drain-source parasitic capacitance CDS has a significant influence on the turn-off time, but little influence on the turn-on time. In addition, CDS has a certain influence on the current spikes and voltage spikes. An increase of the capacitance of the freewheeling diode and the inductor CJ has a negative influence on the turn-on and turn-off times.



Ⅵ. CONCLUSION

In this paper, the effects of parasitic parameters on the switching processes of SiC MOSFETs are studied systematically, and the influences of parasitic parameters on the switching characteristics are obtained.

A well-considered design has already ensured the minimization of the parasitic inductance of the gate driver loop. Therefore, the influence of LG on the switching characteristics is relatively small. However, the influence of LD on oscillations and voltage spikes is significant. The source parasitic inductance LS has some inhibitory effect on oscillations and voltage spikes, but it increases the switching energy loss. Therefore, an improved layout design method is proposed. The considerations to determine the distribution between the parasitic inductance LS and LD while the sum of LS and LD remains unchanged are also discussed. By this method, the optimization of different switching characteristics under the condition of a limited physical distribution can be reached.

The influences of parasitic capacitances on switching characteristics are also studied experimentally. The parasitic capacitances CGS and CGD have a great influence on switching times. With an increase of CGS and CGD, the turn-on and turn- off times are noticeably increased. While CJ can slightly effect the switching times, CDS has nearly no effect on the turn-on time but a large effect on the turn-off time. As for oscillation, an increase of CGS restrain switching resonance. An increase of CDS and CJ reduces the turn-off voltage overshoot but increase the turn-on current overshoot. The influence of CGD on the oscillation in a power loop can be ignored.



ACKNOWLEDGMENT

This work is supported by National Natural Science Foundation of China (51677089) and “the Fundamental Research Funds for the Central Universities”, NO.NJ201 60047 and NO.NS2015039. The authors also appreciate the support of Foundation of Graduate Innovation Center in NUAA (kfjj20170308) and the Fundamental Research Funds for the Central Universities.



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[2] J. Wang, G. Zhang, Y. Geng, and Z. Song, “The latest technology research and application prospects of the intelligent electrical apparatus,” Trans. China Electrotechnical Society, Vol. 30, No. 9, pp. 1-11, Sep. 2015.

[3] M. Liang, Q. Zheng, C. Ke, Y. Li, and X. You, “Performance comparison of SiC MOSFET, Si CoolMOS, and IGBT for DAB converter,” Transactions of China Electrotechnical Society, Vol. 12, No. 30, pp. 41-50, Feb. 2015

[4] “The influence of parasitic network parameters on the switching behavior of power MOSFETs when switching ohmic/inductive loads,” http://www.infineon.com, 2016.

[5] S. Clemente, B. R. Pelly, A. Isidori, “Understanding HEXFET switching performance,” Application Note– 947, International Rectifier, Inc., www.irf.com, 2013.

[6] P. Nayak, M. V. Krishna, K. Vasudevakrishna, and K. Hatua, “Study of the effects of parasitic inductances and device capacitances on 1200 V, 35A SiC MOSFET based voltage source inverter design,” International Conference on Power Electronics, Drives and Energy Systems, Vol. 1, pp. 1-6, 2014.

[7] “Advanced power semiconductor devices- challenges and solutions in applications”, http://www.infineon.com, 2016.

[8] Z. Wang, J. Zhang, X. Wu, and K. Shen, “Analysis of stray inductance's influence on SiC MOSFET switching performance,” Energy Conversion Congress and Exposition, Vol. 1, pp. 2838-2843, Sep. 2014.

[9] Z. Chen, D. Boroyevich, and R. Burgos, “Experimental parametric study of the parasitic inductance influence on MOSFET switching characteristics,” Power Electronics Conference, Vol. 1, pp. 164-169, 2010.

[10] A. Anthon, J. C. Hernandez, Z. Zhang, M. A. E. Andersen, “Switching investigations on a SiC MOSFET in a TO-247 package,” Industrial Electronics Society, Vol. 1, pp. 1854- 1860, Oct. 2014.

[11] B. Cougo, H. Schneider, and T. Meynard, “High current ripple for power density and efficiency improvement in wide bandgap transistor-based buck converters,” IEEE Trans. Power Electron., Vol. 30, No. 8, pp. 4489-4504, Aug. 2015.

[12] J. Wang, H. S.-H. Chung, and R. T.-H. Li, “Characterization and experimental assessment of the effects of parasitic elements on the MOSFET switching performance,” IEEE Trans. Power Electron., Vol. 28, No. 11, pp. 573-590, Apr. 2013.

[13] Z. Dong, X. Wu, K. Sheng, and J. Zhang, “Impact of common source inductance on switching loss of SiC MOSFET,” Future Energy Electronics Conference, Vol. 1, pp. 1-5, 2015.

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[15] J. Noppakunkajorn, D. Han, and B. Sarlioglu, “Analysis of high-Speed PCB with SiC devices by investigating turn-Off overvoltage and interconnection inductance influence,” IEEE Trans. Transp. Electrific., Vol. 1, No. 2, pp. 118-125, Aug. 2015.

[16] J. Wang, H. S. Chung, and R. T. Li, “Characterization and experimental assessment of the effects of parasitic elements on the MOSFET switching performance,” IEEE Trans. Power Electron., Vol. 28, No. 1, pp. 573-590, Jan. 2013.

[17] Y. Zheng, “The SiC age of power electronics is coming towards us,” Electrical Engineering, Vol. 5, No. 1, pp. 1-2, Nov. 2006.



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Haihong Qin was born in Jiangsu, China, in 1977. He received his B.S. degree in Aviation Electrical and Electronic Engineering, and his M.S. and Ph.D. degrees in Power Electronics and Motion Control from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1998, 2002 and 2007, respectively. In 2007 he joined the Aero- power Sci-tech Center of the Nanjing University of Aeronautics and Astronautics. He is presently working as an Assistant Professor in the Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics. His current research interests include power electronics, motion control and the application of wide band-gap devices to more electric aircraft.


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Ceyu Ma was born in Chengdu, Sichuan, China. He received his B.S. degree from the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2015, where he is presently working towards his M.S. degree. His current research interests include the application of wide band-gap devices, PMSM control and PWM converter/inverter systems.


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Ziyue Zhu was born in Jiangsu, China, in 1992. She received her B.S. and M.S. degrees in Power Electronics from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2014 and 2017, respectively. She is presently working as an Electrical Engineer at AAC Technologies Holdings Inc. Her current research interests include industrial automation and intelligent manufacturing.


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Yangguang Yan was born in Zhejiang Province, China, in 1935. He received his B.S. degree in Electrical Engineering from the Nanjing Aeronautical Institute, Nanjing, China, in 1958. He is presently working as a Professor in the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His current research interests include power electronics and electrical machines. Professor Yan was a Second Prize recipient of a State Technology Invention Award.