The Experts below are selected from a list of 7302 Experts worldwide ranked by ideXlab platform
Muhammad Nawaz - One of the best experts on this subject based on the ideXlab platform.
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Development of Simulink Based Modeling Platform for 3.3kV/400A SiC MOSFET Power Module
2018 IEEE Energy Conversion Congress and Exposition (ECCE), 2018Co-Authors: Muhammad Nawaz, Francesco Iannuzzo, Nikolaos Bezentes, Kalle IlvesAbstract:The main objective of this paper is to develop a Simulink based Modeling Platform for a commercial 3.3 kV/400 A SiC MOSEFT power module. The implemented equivalent circuit of 3.3 kV SiC MOSFET in Simulink Platform is based on the original well-established single-chip Mc Nutt/Hefner model. The developed model has been validated with the experimental data both for static and dynamic tests at several temperatures. The dynamic simulations have further been verified with various gate resistances that accurately describes the transient operation during turn-on and turn off of the pulse sequence. The influence of various parasitic elements (i.e., stray inductances) have been studied. Finally, the operation of a Buck converter, whose switch consists of two modules in series, has been verified, studying the converter efficiency under various circuit parameters.
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Development of PSpice Modeling Platform for 10 kV/100 A SiC MOSFET power module
2017 IEEE Energy Conversion Congress and Exposition (ECCE), 2017Co-Authors: João Martins, Kalle Ilves, Muhammad Nawaz, Francesco IannuzzoAbstract:This work deals with the implementation and development of a PSpice based Modeling Platform for 10 kV/100 A SiC MOSFET power modules. The studied SiC MOSFET power module is composed of a total of 9 dies connected in parallel with 10.0 kV blocking voltage capability. The proposed model was implemented based on the already established McNutt Hefner model originally developed for discrete single-die based SiC-MOSFETs. The proposed model has been verified both with static and dynamic experimental data and at different temperatures. Moreover, the energy loss assessment has been performed for a variety of operating parameters (e.g., stray inductance, gate resistance), different load current and supply voltages. The model was also verified with parallel connection of several power modules in order to predict the current unbalance as a result of various parasitic elements in the test circuit. The developed model has been further extended to study the electro-thermal behaviour under short circuit with accurate predictability, and validated with the experimental data. Finally, the operational robustness of the model was judged by simulating an arbitrary Buck, and Boost converter where the converter efficiency was studied with varying circuit parameters.
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Development of Simulink-based SiC MOSFET Modeling Platform for series connected devices
ECCE 2016 - IEEE Energy Conversion Congress and Exposition Proceedings, 2016Co-Authors: Georgios Tsolaridis, Kalle Ilves, Paula Diaz Reigosa, Muhammad Nawaz, Francesco IannuzzoAbstract:A new MATLAB/Simulink-based Modeling Platform has been developed for SiC MOSFET power modules. The Modeling Platform describes the electrical behavior f a single 1.2 kV/ 350 A SiC MOSFET power module, as well as the series connection of two of them. A fast parameter initialization is followed by an optimization process to facilitate the extraction of the model's parameters in a more automated way relying on a small number of experimental waveforms. Through extensive experimental work, it is shown that the model accurately predicts both static and dynamic performances. The series connection of two SiC power modules has been investigated through the validation of the static and dynamic conditions. Thanks to the developed model, a better understanding of the challenges introduced by uneven voltage balance sharing among series connected devices is possible.
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PSpice Modeling Platform for SiC power MOSFET modules with extensive experimental validation
2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016Co-Authors: Lorenzo Ceccarelli, Francesco Iannuzzo, Muhammad NawazAbstract:The aim of this work is to present a PSpice implementation for a well-established and compact physics-based SiC MOSFET model, including a fast, experimental-based parameter extraction procedure in a MATLAB GUI environment. The model, originally meant for single-die devices, has been used to simulate the performance of high current rating (above 100 A), multi-chip SiC MOSFET modules both for static and switching behavior. Therefore, the simulation results have been validated experimentally in a wide range of operating conditions, including high temperatures, gate resistance and stray elements. The whole process has been repeated for three different modules with voltage rating of 1.2 kV and 1.7 kV, manufactured by three different companies. Lastly, a parallel connection of two modules of the same type has been performed in order to observe the unbalancing and mismatches experimentally, and to verify the model effectiveness in such challenging topologies.
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Development of a Modeling Platform for 4.5 kV IGBT power modules
IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, 2014Co-Authors: Georgios. E. Sfakianakis, Muhammad NawazAbstract:This paper deals with the development of a PSpice based evaluation Platform for high power IGBT devices. The purpose of this Platform is to provide useful information for the design and the assessment of converter cells for potential high power applications. An extended version of Hefner model is presented for high power, high voltage IGBTs taking into account temperature variation. A parametric analysis is presented in order to depict the effect of each parameter in the model. A set of parameters have been extracted and then verified with static and dynamic comparison of experimental data from 4.5 kV and 2.0 kA Si based IGBT power module (StakPak). Finally, an overall energy loss estimation is presented as function of temperature, load current and collector-emitter voltage.
Francesco Iannuzzo - One of the best experts on this subject based on the ideXlab platform.
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Development of Simulink Based Modeling Platform for 3.3kV/400A SiC MOSFET Power Module
2018 IEEE Energy Conversion Congress and Exposition (ECCE), 2018Co-Authors: Muhammad Nawaz, Francesco Iannuzzo, Nikolaos Bezentes, Kalle IlvesAbstract:The main objective of this paper is to develop a Simulink based Modeling Platform for a commercial 3.3 kV/400 A SiC MOSEFT power module. The implemented equivalent circuit of 3.3 kV SiC MOSFET in Simulink Platform is based on the original well-established single-chip Mc Nutt/Hefner model. The developed model has been validated with the experimental data both for static and dynamic tests at several temperatures. The dynamic simulations have further been verified with various gate resistances that accurately describes the transient operation during turn-on and turn off of the pulse sequence. The influence of various parasitic elements (i.e., stray inductances) have been studied. Finally, the operation of a Buck converter, whose switch consists of two modules in series, has been verified, studying the converter efficiency under various circuit parameters.
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Development of PSpice Modeling Platform for 10 kV/100 A SiC MOSFET power module
2017 IEEE Energy Conversion Congress and Exposition (ECCE), 2017Co-Authors: João Martins, Kalle Ilves, Muhammad Nawaz, Francesco IannuzzoAbstract:This work deals with the implementation and development of a PSpice based Modeling Platform for 10 kV/100 A SiC MOSFET power modules. The studied SiC MOSFET power module is composed of a total of 9 dies connected in parallel with 10.0 kV blocking voltage capability. The proposed model was implemented based on the already established McNutt Hefner model originally developed for discrete single-die based SiC-MOSFETs. The proposed model has been verified both with static and dynamic experimental data and at different temperatures. Moreover, the energy loss assessment has been performed for a variety of operating parameters (e.g., stray inductance, gate resistance), different load current and supply voltages. The model was also verified with parallel connection of several power modules in order to predict the current unbalance as a result of various parasitic elements in the test circuit. The developed model has been further extended to study the electro-thermal behaviour under short circuit with accurate predictability, and validated with the experimental data. Finally, the operational robustness of the model was judged by simulating an arbitrary Buck, and Boost converter where the converter efficiency was studied with varying circuit parameters.
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Development of Simulink-based SiC MOSFET Modeling Platform for series connected devices
ECCE 2016 - IEEE Energy Conversion Congress and Exposition Proceedings, 2016Co-Authors: Georgios Tsolaridis, Kalle Ilves, Paula Diaz Reigosa, Muhammad Nawaz, Francesco IannuzzoAbstract:A new MATLAB/Simulink-based Modeling Platform has been developed for SiC MOSFET power modules. The Modeling Platform describes the electrical behavior f a single 1.2 kV/ 350 A SiC MOSFET power module, as well as the series connection of two of them. A fast parameter initialization is followed by an optimization process to facilitate the extraction of the model's parameters in a more automated way relying on a small number of experimental waveforms. Through extensive experimental work, it is shown that the model accurately predicts both static and dynamic performances. The series connection of two SiC power modules has been investigated through the validation of the static and dynamic conditions. Thanks to the developed model, a better understanding of the challenges introduced by uneven voltage balance sharing among series connected devices is possible.
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PSpice Modeling Platform for SiC power MOSFET modules with extensive experimental validation
2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016Co-Authors: Lorenzo Ceccarelli, Francesco Iannuzzo, Muhammad NawazAbstract:The aim of this work is to present a PSpice implementation for a well-established and compact physics-based SiC MOSFET model, including a fast, experimental-based parameter extraction procedure in a MATLAB GUI environment. The model, originally meant for single-die devices, has been used to simulate the performance of high current rating (above 100 A), multi-chip SiC MOSFET modules both for static and switching behavior. Therefore, the simulation results have been validated experimentally in a wide range of operating conditions, including high temperatures, gate resistance and stray elements. The whole process has been repeated for three different modules with voltage rating of 1.2 kV and 1.7 kV, manufactured by three different companies. Lastly, a parallel connection of two modules of the same type has been performed in order to observe the unbalancing and mismatches experimentally, and to verify the model effectiveness in such challenging topologies.
Maria E. Ek - One of the best experts on this subject based on the ideXlab platform.
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qsar investigation of nav1 7 active compounds using the svm signature approach and the bioclipse Modeling Platform
Bioorganic & Medicinal Chemistry Letters, 2013Co-Authors: Ulf Norinder, Maria E. EkAbstract:Abstract A quantitative structure-activity relationship investigation of some NaV1.7 active compounds has been performed by repeated, random, external test set experiments employing structural descriptors (fingerprints) of signature type in combination with support vector machine (SVM) analysis using the radial basis function (RBF) kernel. The results from the investigation show remarkably stable performance from the derived in silico models in terms of statistical measures such as correlation coefficients as well as root mean squared errors (RMSEs) for the randomly selected external test sets. Also, the Bioclipse Modeling Platform is utilized for introducing interpretation to the derived models.
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QSAR investigation of NaV1.7 active compounds using the SVM/Signature approach and the Bioclipse Modeling Platform.
Bioorganic & Medicinal Chemistry Letters, 2012Co-Authors: Ulf Norinder, Maria E. EkAbstract:Abstract A quantitative structure-activity relationship investigation of some NaV1.7 active compounds has been performed by repeated, random, external test set experiments employing structural descriptors (fingerprints) of signature type in combination with support vector machine (SVM) analysis using the radial basis function (RBF) kernel. The results from the investigation show remarkably stable performance from the derived in silico models in terms of statistical measures such as correlation coefficients as well as root mean squared errors (RMSEs) for the randomly selected external test sets. Also, the Bioclipse Modeling Platform is utilized for introducing interpretation to the derived models.
Kalle Ilves - One of the best experts on this subject based on the ideXlab platform.
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Development of Simulink Based Modeling Platform for 3.3kV/400A SiC MOSFET Power Module
2018 IEEE Energy Conversion Congress and Exposition (ECCE), 2018Co-Authors: Muhammad Nawaz, Francesco Iannuzzo, Nikolaos Bezentes, Kalle IlvesAbstract:The main objective of this paper is to develop a Simulink based Modeling Platform for a commercial 3.3 kV/400 A SiC MOSEFT power module. The implemented equivalent circuit of 3.3 kV SiC MOSFET in Simulink Platform is based on the original well-established single-chip Mc Nutt/Hefner model. The developed model has been validated with the experimental data both for static and dynamic tests at several temperatures. The dynamic simulations have further been verified with various gate resistances that accurately describes the transient operation during turn-on and turn off of the pulse sequence. The influence of various parasitic elements (i.e., stray inductances) have been studied. Finally, the operation of a Buck converter, whose switch consists of two modules in series, has been verified, studying the converter efficiency under various circuit parameters.
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Development of PSpice Modeling Platform for 10 kV/100 A SiC MOSFET power module
2017 IEEE Energy Conversion Congress and Exposition (ECCE), 2017Co-Authors: João Martins, Kalle Ilves, Muhammad Nawaz, Francesco IannuzzoAbstract:This work deals with the implementation and development of a PSpice based Modeling Platform for 10 kV/100 A SiC MOSFET power modules. The studied SiC MOSFET power module is composed of a total of 9 dies connected in parallel with 10.0 kV blocking voltage capability. The proposed model was implemented based on the already established McNutt Hefner model originally developed for discrete single-die based SiC-MOSFETs. The proposed model has been verified both with static and dynamic experimental data and at different temperatures. Moreover, the energy loss assessment has been performed for a variety of operating parameters (e.g., stray inductance, gate resistance), different load current and supply voltages. The model was also verified with parallel connection of several power modules in order to predict the current unbalance as a result of various parasitic elements in the test circuit. The developed model has been further extended to study the electro-thermal behaviour under short circuit with accurate predictability, and validated with the experimental data. Finally, the operational robustness of the model was judged by simulating an arbitrary Buck, and Boost converter where the converter efficiency was studied with varying circuit parameters.
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Development of Simulink-based SiC MOSFET Modeling Platform for series connected devices
ECCE 2016 - IEEE Energy Conversion Congress and Exposition Proceedings, 2016Co-Authors: Georgios Tsolaridis, Kalle Ilves, Paula Diaz Reigosa, Muhammad Nawaz, Francesco IannuzzoAbstract:A new MATLAB/Simulink-based Modeling Platform has been developed for SiC MOSFET power modules. The Modeling Platform describes the electrical behavior f a single 1.2 kV/ 350 A SiC MOSFET power module, as well as the series connection of two of them. A fast parameter initialization is followed by an optimization process to facilitate the extraction of the model's parameters in a more automated way relying on a small number of experimental waveforms. Through extensive experimental work, it is shown that the model accurately predicts both static and dynamic performances. The series connection of two SiC power modules has been investigated through the validation of the static and dynamic conditions. Thanks to the developed model, a better understanding of the challenges introduced by uneven voltage balance sharing among series connected devices is possible.
Alfonso Pierantonio - One of the best experts on this subject based on the ideXlab platform.
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ICMT - Using ATL Transformation Services in the MDEForge Collaborative Modeling Platform
Theory and Practice of Model Transformations, 2016Co-Authors: Juri Di Rocco, Davide Di Ruscio, Alfonso Pierantonio, Jesús Sánchez Cuadrado, Juan De Lara, Esther GuerraAbstract:In the last years, the increasing complexity of Model-Driven Engineering MDE tools and techniques has led to higher demands in terms of computation, interoperability, and configuration management. Harnessing the software-as-a-service SaaS paradigm and shifting applications from local, mono-core implementations to cloud-based architectures is key to enhance scalability and flexibility. To this end, we propose MDEForge: an extensible, collaborative Modeling Platform that provides remote model management facilities and prevents the user from focussing on time-consuming, and less creative procedures. This demo paper illustrates the extensibility of MDEForge by integrating ATL services for the remote execution, automated testing, and static analysis of ATL transformations. The usefulness of their employment under the SaaS paradigm is demonstrated with a case-study showing a wide range of new application possibilities.
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Using ATL Transformation Services in the MDEForge Collaborative Modeling Platform
Theory and Practice of Model Transformations, 2016Co-Authors: Juri Di Rocco, Davide Di Ruscio, Alfonso Pierantonio, Jesús Sánchez Cuadrado, Juan De Lara, Esther GuerraAbstract:In the last years, the increasing complexity of Model-Driven Engineering (MDE) tools and techniques has led to higher demands in terms of computation, interoperability, and configuration management. Harnessing the software-as-a-service (SaaS) paradigm and shifting applications from local, mono-core implementations to cloud-based architectures is key to enhance scalability and flexibility. To this end, we propose MDEForge : an extensible, collaborative Modeling Platform that provides remote model management facilities and prevents the user from focussing on time-consuming, and less creative procedures. This demo paper illustrates the extensibility of MDEForge by integrating ATL services for the remote execution, automated testing, and static analysis of ATL transformations. The usefulness of their employment under the SaaS paradigm is demonstrated with a case-study showing a wide range of new application possibilities.
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mdeforge an extensible web based Modeling Platform
CloudMDE@MoDELS, 2014Co-Authors: Francesco Basciani, Juri Di Rocco, Davide Di Ruscio, Amleto Di Salle, Ludovico Iovino, Alfonso PierantonioAbstract:Model-Driven Engineering (MDE) refers to the systematic use of models as first class entities throughout the software development life cycle. Over the last few years, many MDE technologies have been conceived for developing domain specific Modeling languages, and for supporting a wide range of model management activities. However, existing Modeling Platforms neglect a number of important features that if missed reduce the acceptance and the relevance of MDE in industrial contexts, e.g., the possibility to search and reuse already developed Modeling artifacts, and to adopt model management tools as a service. In this paper we propose MDEForge a novel extensible Web-based Modeling Platform specifically conceived to foster a community-based Modeling repository, which underpins the development, analysis and reuse of Modeling artifacts. Moreover, it enables the adoption of model management tools as software-as-a-service that can be remotely used without overwhelming the users with intricate and error-prone installation and configuration procedures.
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CloudMDE@MoDELS - MDEForge: an Extensible Web-Based Modeling Platform.
2014Co-Authors: Francesco Basciani, Juri Di Rocco, Davide Di Ruscio, Amleto Di Salle, Ludovico Iovino, Alfonso PierantonioAbstract:Model-Driven Engineering (MDE) refers to the systematic use of models as first class entities throughout the software development life cycle. Over the last few years, many MDE technologies have been conceived for developing domain specific Modeling languages, and for supporting a wide range of model management activities. However, existing Modeling Platforms neglect a number of important features that if missed reduce the acceptance and the relevance of MDE in industrial contexts, e.g., the possibility to search and reuse already developed Modeling artifacts, and to adopt model management tools as a service. In this paper we propose MDEForge a novel extensible Web-based Modeling Platform specifically conceived to foster a community-based Modeling repository, which underpins the development, analysis and reuse of Modeling artifacts. Moreover, it enables the adoption of model management tools as software-as-a-service that can be remotely used without overwhelming the users with intricate and error-prone installation and configuration procedures.