Thermal component model for electrothermal analysis of IGBT module systems

Yun, Chan-Su; Malberti, P.; Ciappa, Mauro; Fichtner, W.

doi:10.1109/6040.938309

Cited by 121 publications

(11 citation statements)

References 14 publications

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“…After that the device characteristics of SiC MOSFET is analyzed for converter. [9][10][11][12][13] Optimal designing of the power electronic converter is suited. At last MPPT controller used for output power simulation.To maximize the output power from a PV cell with the help of MPPT control, 14 the modeling of PV cell is necessary(Figure 2).…”

Section: Methodsmentioning

confidence: 99%

Solar powered electric vehicle using maximum power point tracking

Sharma¹,

Swami²

2022

MSEIJ

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The solar energy with its unrestrictedaccessibility is measuredas non-degradable, immortalkind of energy that discovers its mean in day by dayexercise. The utilization of solar vehicle is an initiative pace headed forplummetingcraving on the conformistenergy;exploit the non-renewable cause of control for a range of submissions. This paper majorly intended on the various applications of solar energy to gear up the utilization of electric vehicles. The Photo Voltaic (PV) elementsattached either in comparable or sequencemay be a superiorchoice, but expensive too. An electrical charge is merged from the PV panel and aimed to the output terminal to generate low power voltage. The charge controllers (CC)unswerving this power obtainedwith the solar panels to the batteries. The outcomes are based on the “design and simulation” of different constituents of the solar based electric vehicles. The PV cell has to be optimally effective at a meticulousposition to carry maximum power known asMaximum Power Point (MPP). Maximum power point tracking (MPPT) algorithm is exploited at this point. The dynamic behavior of electric motor (EM) is essential in regulate to estimate the concert of electric vehicles. These vehicles will be controlled in the forward as well as reverse direction with a speed of 48Kmph. The efficiency obtained for proposed solar vehicle is higher.

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Section: Methodsmentioning

confidence: 99%

Solar powered electric vehicle using maximum power point tracking

Sharma¹,

Swami²

2022

MSEIJ

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“…Different ways have been proposed to derive the Cauer thermal network. A 3-D FEM method in combination with time constant analysis has been discussed in [26], which can deliver a Cauer model accurately representing the physical layers. This paper adopts a fast transformation method described in [27].…”

Section: Circuit Transformationmentioning

confidence: 99%

Using Improved Power Electronics Modeling and Turbine Control to Improve Wind Turbine Reliability

Lei

Barnes

Smith

et al. 2015

IEEE Trans. Energy Convers.

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Improving offshore wind turbine reliability is a key industry goal to improve the availability of this renewable energy generation source. The semiconductor devices in the wind turbine power converter (WTPC) are traditionally considered as the most sensitive and important components to achieve this, and managing their thermo-mechanical stressing is vital, since this is one of their principal long-term aging mechanisms. Conventional deterministic reliability prediction methods used in industrial applications are not suitable for wind turbine applications, due to the stochastic wind speed. This paper develops an electro-thermal model of the power devices which is integrated with a wind turbine system model for the investigation of power converter thermal cycling under various operating conditions. The model has been developed to eliminate the problems of PWM switching, substantially reducing simulation time.The model is used to improve the current controller tuning method to reduce thermal stresses suffered by the converter during a grid fault. The model is finally used to design a control method to alleviate a key problem of the doubly-fed induction generator (DFIG) -severe thermal cycling caused during operation near synchronous speed.

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“…These include numerical approaches such as computational fluid dynamics (CFD), finite element analysis (FEA), analytical analysis, and lumped equivalent thermal resistor-capacitor (RC) network analysis. Numerical methods such as FEA [6,7] or CFD [8] are timeconsuming and therefore not suitable for the estimation of junction temperature history for long-time load profiles. The analytical approach solves the 1-D, 2-D, and 3-D heat diffusion equations [9][10][11] and this meshless method is faster but it is only applicable for simplified structures and it has limited accuracy when modelling the heat convection between the heatsink and the coolant.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Thermal Interaction Between Components in Power Converter Applications

Shahjalal

Ahmed

et al. 2020

IEEE Trans. Power Electron.

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Accurately predicting the temperature of semiconductor devices is very important in the initial design of power electronics converter. RC thermal models derived from well-known methods have some ability to predict the temperature. However, the accuracy is boundary condition specific, hence, these methods cannot be used in the reliability analysis. To make the thermal model more accurate and robust the factors contributing to discrepancies need to be analyzed carefully. These are powermodule-materials' non-linear properties, thermal grease layer and the cooling system (i.e., liquid-cooled cold plate). In this work, estimation of accurate RC parameters from FEA thermal model is demonstrated in COMSOL. The electrical model having temperature dependent power loss model is coupled to refined thermal model and solved in a circuit simulator, PLECS. The proposed method is applied in two applications: assessing thermal interaction between IGBTs and anti-parallel diodes in a halfbridge power module, and assessing thermal interaction among the discrete switches in an interleaved bidirectional DC-DC converter. Results show that the impact of material non-linearity, thermal grease layer and cooling boundary conditions are significant for accurate prediction of IGBT and diode temperatures. The proposed model is consistent to FEA results and differs by 2-6.5% comparing to the experimental results.

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Thermal component model for electrothermal analysis of IGBT module systems

Cited by 121 publications

References 14 publications

Solar powered electric vehicle using maximum power point tracking

Solar powered electric vehicle using maximum power point tracking

Using Improved Power Electronics Modeling and Turbine Control to Improve Wind Turbine Reliability

An Analysis of the Thermal Interaction Between Components in Power Converter Applications

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