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Inhaltsangabe
Real-Time Simulation Technology for Modern Power Electronics provides an invaluable foundation and state-of-the-art review on the most advanced implementations of real-time simulation as it appears poised to revolutionize the modeling of power electronics. The book opens with a discussion of power electronics device physic modeling, component modeling, and power converter modeling before addressing numerical methods to solve converter model, emphasizing speed and accuracy. It discusses both CPU-based and FPGA-based real-time implementations and provides an extensive review of current applications, including hardware-in-the-loop and its case studies in the micro-grid and electric vehicle applications. The book closes with a review of the near and long-term outlooks for the evolving technology. Collectively, the work provides a systematic resource for students, researchers, and engineers in the electrical engineering and other closely related fields.
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Über die Autorinnen und Autoren
Hao Bai received the bachelor’s degree and master’s degree in electrical engineering from the Northwestern Polytechnical University, Xi'an, China, in 2013 and 2016 respectively. He received his doctor’s degree in electrical engineering from the University of Technology of Belfort-Montbeliard, France, in 2019. He is currently an associate professor at Northwestern Polytechnical University, China. His main research interests include real-time simulation of power electronics systems, multi-level multi-domain modeling and simulation, and digital twin technology.
Chen Liu received the Master’s degrees in electrical engineering from Beijing Jiaotong University, Beijing, China, in 2014, and the Ph.D. degree in electrical engineering from the University of Technology of Belfort-Montbéliard (UTBM), Belfort, France, in 2018. From 2018 to 2020, he worked as a Postdoctoral Researcher in the School of Energy and Computer Science, UTBM, Belfort, France. Currently, he is an associate professor in electrical engineering in Zhengzhou University, Zhengzhou, China. His main research interests include real-time simulation of power electronic system and hardware-in-the-loop test.
Dusan Majstorovic earned the masters and doctoral degree from the Faculty of Technical Sciences, Novi Sad, Serbia in 2005 and 2012 respectively. He is currently the Chief Technical Officer at Typhoon HIL and a member of the team that developed both the theoretical foundation and hardware platform for the world’s first programmable FPGA solver based Hardware-in-the Loop (HIL) real-time emulator platform for power electronics. He leads both the technology and product development and is the chief architect of Typhoon HIL FPGA solver. His field of interest is focused on real-time high-performance computing.
Fei Gao is currently the Deputy Director of the French national CNRS research institute FEMTO-ST and a Full Professor at the University of Technology of Belfort-Montbeliard (UTBM). He received from UTBM the PhD degree in renewable energy with distinguished Youth Doctor Award in 2010. His main research fields include fuel cells and their applications in transportation, multi-physical modeling and real time simulation systems. Prof. Gao is the recipient of the 2020 IEEE J. David Irwin Early Career Award from IEEE Industrial Electronics Society. He is a Fellow of IET and holder of the French research expertise bonus from the French Ministry of Higher Education and Research. He is also the Editor-in-Chief of IEEE Industrial Electronics Technology News, the Assistant Deputy Editor-in-Chief of IEEE Transactions on Transportation Electrification, and an Associate Editor of 4 IEEE Transactions journals. He is Conferences Committee Chair of IEEE Transportation Electrification Community and Secretary of the Technical Committee on Vehicle and Transportation Systems of IEEE Power Electronics Society.
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Real-Time Simulation Technology for Modern Power Electronics provides an invaluable foundation and state-of-the-art review in the most advanced implementations of real-time simulation as it appears poised to revolutionize the modelling of power electronics. The work opens with a discussion of power electronics device physic modeling, component modeling, and power converter modeling before addressing numerical methods to solve converter model, emphasizing speed and accuracy. It discusses both CPU-based and FPGA-based real-time implementations and provides an extensive review of current applications, including hardware-in-the-loop and its case studies in the micro-grid and electric vehicle applications. The work closes with a review of the near and long-term outlooks for the evolving technology. Collectively the work provides a systematic resource for students, researchers, and engineers in the electrical engineering and other closely related fields.
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Kartoniert / Broschiert. Zustand: New. Über den AutorHao Bai received the bachelor s degree and master s degree in electrical engineering from the Northwestern Polytechnical University, Xi an, China, in 2013 and 2016 respectively. He received his doctor s degree in elect. Artikel-Nr. 699366910
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Taschenbuch. Zustand: Neu. Neuware - Real-Time Simulation Technology for Modern Power Electronics provides an invaluable foundation and state-of-the-art review on the most advanced implementations of real-time simulation as it appears poised to revolutionize the modeling of power electronics. The book opens with a discussion of power electronics device physic modeling, component modeling, and power converter modeling before addressing numerical methods to solve converter model, emphasizing speed and accuracy. It discusses both CPU-based and FPGA-based real-time implementations and provides an extensive review of current applications, including hardware-in-the-loop and its case studies in the micro-grid and electric vehicle applications. The book closes with a review of the near and long-term outlooks for the evolving technology. Collectively, the work provides a systematic resource for students, researchers, and engineers in the electrical engineering and other closely related fields. Artikel-Nr. 9780323995412
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