An Electrothermal Model for IGBT Based on Finite Differential Method

Cao, Han; Ning, Puqi; Xu, Wen; Tang, Yuhai; Li, Huakang

doi:10.1109/jestpe.2019.2944724

Cited by 13 publications

(8 citation statements)

References 13 publications

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“…In [127], a model was presented of the switching on/off dynamics of an IGBT. The temperature dependence of this switching on/off behaviour was modelled for high power IGBTs in [128,129]. Models were presented for determining the conduction and switching losses in [130] for the IGBT and in [131] for the IGCT.…”

Section: Power Electronic Convertermentioning

confidence: 99%

“…Nevertheless, it allows combining the merits of different modelling techniques eventually leading to a more realistic virtual replica. Computational Fluid Dynamics [69] FEM structural blade model [70][71][72] Large Eddy Simulation (LES) [78][79][80] FEM model of turbine shaft [103] FEM model of the tower and support structure [89,90] Electromagnetic FEM [109][110][111] Dynamic switching models [127][128][129] Conduction and switching loss models [130,131] Transient wide-bandgap component models [132] Full pitch drivetrain models [150][151][152][153] Full yaw drivetrain models [154,155] Blade-Element Momentum [57] Extensions -Tip losses [60,61] -Dynamic stall [62,63] -Blade flexibility [64,65] -Tower and nacelle flow disturbance [66] -Gaussian [82] or Curl [83] wake model Surrogate models [73][74][75] Multi-body drivetrain model [101,102] Multi-body tower and foundation model [84][85][86]<...>…”

Section: Virtual Replicamentioning

confidence: 99%

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Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

et al. 2021

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The Industry 4.0 concept of a Digital Twin will bring many advantages for wind energy conversion systems, e.g., in condition monitoring, predictive maintenance and the optimisation of control or design parameters. A virtual replica is at the heart of a digital twin. To construct a virtual replica, appropriate modelling techniques must be selected for the turbine components. These models must be chosen with the intended use case of the digital twin in mind, finding a proper balance between the model fidelity and computational load. This review article presents an overview of the recent literature on modelling techniques for turbine aerodynamics, structure and drivetrain mechanics, the permanent magnet synchronous generator, the power electronic converter and the pitch and yaw systems. For each component, a balanced overview is given of models with varying model fidelity and computational load, ranging from simplified lumped parameter models to advanced numerical Finite Element Method (FEM)-based models. The results of the literature review are presented graphically to aid the reader in the model selection process. Based on this review, a high-level structure of a digital twin is proposed together with a virtual replica with a minimum computational load. The concept of a multi-level hierarchical virtual replica is presented.

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Section: Power Electronic Convertermentioning

confidence: 99%

Section: Virtual Replicamentioning

confidence: 99%

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

et al. 2021

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“…A detailed overview of the modeling techniques and different complexity levels of IGBT models can be found in [153,154]. Although several physical and behavioral models of the coupled MOSFET-BJT structure of an IGBT device are presented in the literature [145,146,[155][156][157][158][159][160][161][162][163][164][165][166][167], the parameter extraction procedures ask for simultaneous fitting to both static and dynamic device measurement data, which makes the modeling of IGBTs a rather complex task even for major manufacturers. Quite a few of them provide models of some IGBT devices (e.g., [165,166]) but the accuracy and stability of these models differ and the selection of an appropriate model for system level EMC simulations is still challenging.…”

Section: Power Semiconductor Modelsmentioning

confidence: 99%

EMC Component Modeling and System-Level Simulations of Power Converters: AC Motor Drives

et al. 2021

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EMC simulations are an indispensable tool to analyze EMC noise propagation in power converters and to assess the best filtering options. In this paper, we first show how to set up EMC simulations of power converters and then we demonstrate their use on the example of an industrial AC motor drive. Broadband models of key power converter components are reviewed and combined into a circuit model of the complete power converter setup enabling detailed EMC analysis. The approach is demonstrated by analyzing the conducted noise emissions of a 75 kW power converter driving a 45 kW motor. Based on the simulations, the critical impedances, the dominant noise propagation, and the most efficient filter component and location within the system are identified. For the analyzed system, maxima of EMC noise are caused by resonances of the long motor cable and can be accurately predicted as functions of type, length, and layout of the motor cable. The common-mode noise at the LISN is shown to have a dominant contribution caused by magnetic coupling between the noisy motor side and the AC input side of the drive. All the predictions are validated by measurements and highlight the benefit of simulation-based EMC analysis and filter design.

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“…1. An accurate evaluation of the thermal dynamics can help to predict the stability of inverter systems [3][4][5] . In some conventional methods, the thermal impedance is derived from the datasheets of power modules and cooling systems; hence, an accurate calculation of the power loss is required.…”

Section: Introduction mentioning

confidence: 99%

Accurate evaluation of cooling system capability of three-phase IGBT-based inverter

Zheng

Ning

Chai

et al. 2021

Chin. J. Electr. Eng.

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In this paper, an offline evaluation method for the cooling capability of three-phase insulated-gate bipolar transistor (IGBT) inverters is presented, which can better emulate real working conditions. With a properly designed sudden-stop control sequence, the conventional junction temperature monitoring method at a low current is used to calculate the junction temperature before the sudden stop of an inverter. This can solve the challenging switching loss calculation issue in conventional methods. Finally, the feasibility, control sequence, and electrical behaviors of the proposed method are validated through experimental tests.

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An Electrothermal Model for IGBT Based on Finite Differential Method

Cited by 13 publications

References 13 publications

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

EMC Component Modeling and System-Level Simulations of Power Converters: AC Motor Drives

Accurate evaluation of cooling system capability of three-phase IGBT-based inverter

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