Call for Special Session Papers

The 2023 IEEE International Future Energy Electronics Conference (IFEEC) is a serial event that addressing researchers and industries from all areas of energy electronics systems technologies. It provides an international forum to:

  • exchange power and energy electronics ideas
  • present advances in the state of the art of power and energy electronics
  • identify emerging power and energy electronics research topics
  • help define the future of power and energy electronics systems technologies.

While the IFEEC 2023 call for special session proposals is still active the committee have decided to publish the accepted special session proposals so potential authors have time to prepare submissions.

The following Special Session will take place at IFEEC 2023.

Please contact the Special Session organisers if you are interested in submitting to the Special Session.

Special Session 1 – Learning-based Design Optimization and Control Methods for Electrical Machines

Special Session Organizers

Abstract

Electrical machines are the hearts of many modern appliances and industrial systems, such as electric vehicles and aircraft. Their analysis and design optimization processes become more and more complex as more disciplines/domains and constraints are involved, such as electromagnetics, structural mechanics, heat transfer, and control strategies. In the context of Industry 4.0, their analysis methods are experiencing significant progress and innovation due to the integration of industrial big data and machine learning. To facilitate this progress, machine learning-based approaches have been investigated in the modelling, design, optimization, condition monitoring, and reliability and robustness evaluation of electrical machines and drive systems. These new models and analysis methods will benefit the development of digital twin for electrical machine and drive systems.

This Special Session aims to present a collection of scientific manuscripts covering the theoretical and practical aspects associated with learning-based methods for the design optimization and control methods for electrical machines and drive systems. Topics may include, but are not limited to, the following:

  • Learning-based analysis and design optimization methods for electrical machines;
  • Learning-based control methods for electrical machines;
  • Learning-based condition monitoring methods for electrical machines;
  • Learning-based methods for reliability and robustness evaluations;
  • Physics-informed neural networks for analysis and design optimization;
  • Hybrid analysis and design optimization methods for electrical machines and drive systems.

Special Session Organizer Biographies

Gang Lei received the B.S. degree in mathematics from Huanggang Normal University, Huanggang, China, in 2003, the M.S. degree in mathematics and the Ph.D. degree in electrical engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2006 and 2009, respectively. He is currently a Senior Lecturer with the School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia. His research interests include computational electromagnetics, design optimization, and control of electrical drive systems and renewable energy systems. Dr. Lei is an Associate Editor of the IEEE Transactions on Industrial Electronics, and an Associate Editor of the IEEE Transactions on Energy Conversion.

Email: Gang.Lei@uts.edu.au

Youguang Guo received the B.E. degree from the Huazhong University of Science and Technology, Wuhan, China, in 1985, the M.E. degree from Zhejiang University, Hangzhou, China, in 1988, and the Ph.D. degree from the University of Technology Sydney (UTS), Sydney, NSW, Australia, in 2004, all in electrical engineering. He is currently a Professor with the School of Electrical and Data Engineering, UTS. His research interests include the measurement and modeling of properties of magnetic materials, numerical analysis of electromagnetic field, electrical machine design optimization, and power electronic drives and control.

Jianguo Zhu received the B.E. degree in electrical engineering from the Jiangsu Institute of Technology, Zhenjiang, Jiangsu, China, in 1982, the M.E. degree in electrical engineering from the Shanghai University of Technology, Shanghai, China, in 1987, and the Ph.D. degree in electrical engineering from the University of Technology Sydney (UTS), Sydney, NSW, Australia, in 1995. He was appointed as a Lecturer with UTS in 1994 and was promoted to a Full Professor in 2004 and a Distinguished Professor of electrical engineering in 2017. He is currently a Professor with the School of Electrical and Information Engineering, The University of Sydney. His research interests include computational electromagnetics, measurement and modeling of magnetic properties of materials, electrical machines and drives, power electronics, renewable energy systems, smart microgrids, and digital energy systems.

Special Session 2 – Grid-Transportation Integrated Energy System

Special Session Organizers

Abstract

As electric vehicle (EV) adoption rapidly increases, the EV charging and battery swapping station are now part of the transport infrastructure. With the development of the renewable energy sources such as solar and wind power generation, the power systems must evolve to incorporate vehicle charging and leverage these assets for improved grid and transportation performance. The effects of EV charging loads on the grid and how minimize the costs of grid integration and leverage EV charging to improve grid resilience and reliability are important for the Grid, EV users and transportation system.  The approach to evaluate the impacts and opportunities of each type of charging, distributed energy resource, and grid asset to grid-transportation integrated energy systems is also required.

Potential topic areas include but are not limited to:

  • EV charging and battery swapping facility and its Grid interface
  • Renewable Energy integrated transportation infrastructure and its energy management
  • Conductive and Wireless Charging Technology and Charging load estimation
  • Power distribution system and transmission system modeling consider EV Charging
  • Transportation system modeling for charging systems
  • Cosimulation of grid and transportation systems
  • Charging control and management development, testing, and analysis
  • Grid and Transportation Energy Integration strategy development
  • Carbon reduction Evaluation of the Grid and Transportation Integrated Energy system

Special Session Organizer Biographies

A/Prof. Shuo Wang, School of Mechanical Engineering, Beijing Institute of Technology

Shuo Wang received his Ph.D degree in engineering from the faculty of engineering and information technology (FEIT), University of Technology Sydney in 2017. He is Assistant Professor at Beijing Institute of Technology, Beijing. He was a Postdoctoral Research Fellow with the Beijing Institute of Technology (2017-2021).  His research interests include transportation electrification, electric vehicle and its big data analysis.

Email: Shuo.Wang@bit.edu.cn

A/prof. Heping Jia,  School of Economics and Management, North China Electric Power university, Beijing, China

Heping Jia, received the Ph.D. degree in Electrical Engineering from Zhejiang University, China in 2019. She is an associate professor in North China Electric Power University, China. She was selected in the Young Elite Scientists Sponsorship Program by China Association for Science and Technology. She visited the Department of Electrical and Computer Engineering, Texas A&M University, USA from 2017 to 2018. Her research areas include reliability assessment of power systems and risk analysis of engineering systems.

Email: Jiaheping@ncepu.edu.cn

Special Session 3 – Reliability of Power Electronics Systems

Special Session Organizers

Abstract

A reliable electrical power supply, which is increasingly managed by switching power converters, is critical to sustaining all our electric power-related activities. The power converter manages and conditions various power sources such as AC grid, renewable energies and energy storage, and controls electrical appliances and equipment such as electric machines, lighting and computers. These activities will come to a halt when the power converter fails. Such loss of power supply not only simply causes inconvenience, but it can also have potential risks and safety concerns on critical activities in areas such as hospitals, military operations, financial markets, data centers and electrified transportation. There have been records of fatalities and loss of billions of dollars due to those events. The Special Session, therefore, aims to invite researchers, engineers and government representatives to share their experience, knowledge and preventive and remedial solutions to this ongoing challenge.

Potential topic areas include but are not limited to:

  • Fault detection, isolation and reconfiguration
  • Intelligent controls such as active thermal control technique
  • Failure assessment using standards and physics-of-failure
  • Condition and health monitoring
  • Modeling and simulation of the device ageing process
  • Optimized design methodologies for more reliable converter operation
  • Novel converter topologies with fault-tolerant features

Special Session Organizer Biographies

Prof. Dylan Lu, Head of Discipline of Electrical Power and Energy Systems, School of Electrical and Data Engineering, University of Technology Sydney

Dylan Lu received his PhD degree in Electronic and Information Engineering from the Hong Kong Polytechnic University in 2004. He was a Senior Design Engineer at PowereLab Limited from 2003 to 2006. In 2006, he joined the School of Electrical and Information Engineering, The University of Sydney, Australia, as a Lecturer where I was promoted to Associate Professor in 2016. His current research interests include power electronics circuits and control for efficient power conversion, power factor correction, consumer electronics, motor drives, renewable electrical energy systems, microgrid and grid-integration issues, and engineering education. Currently, he serves as an Associate Editor of the IEEE Transactions on Industrial Electronics and the IEEE Journal of Emerging and Selected Topics in Power Electronics.

A/Prof. Ricardo P. Aguilera, School of Electrical and Data Engineering, University of Technology Sydney

Ricardo P. Aguilera received the B.Sc. degree in electrical engineering from the Universidad de Antofagasta, Chile; the M.Sc. degree in electronics engineering from the Universidad Tecnica Federico Santa Maria, Chile; and the Ph.D. degree in electrical engineering from The University of Newcastle (UoN), Australia, in 2003, 2007, and 2012, respectively. From 2012 to 2013, he was a Research Academic at UoN, where he was part of the Centre for Complex Dynamic Systems and Control. From 2014 to 2016, he was a Senior Research Associate at The University of New South Wales, where he was part of the Australian Energy Research Institute. Since September 2016, he has been with the School of Electrical and Data Engineering, at the University of Technology Sydney, where he currently holds an Associate Professor position. His main research interests include theoretical and practical aspects on model predictive control with application to power electronics, renewable energy integration, and microgrids.

A/Prof. Yam Siwakoti, School of Electrical and Data Engineering, University of Technology Sydney

Yam Siwakoti received his Ph.D. degree in electronic engineering from Macquarie University, Sydney, NSW, Australia, in 2014. He was a Postdoctoral Fellow with the Department of Energy Technology, Aalborg University, Denmark, during 2014–2016. He was a Visiting Scientist with the Fraunhofer Institute for Solar Energy Systems, Freiburg, Germany, during 2017–2018. 

His research has been recognised by a series of awards including the most prestigious Friedrich Wilhelm Bessel Research Award from Alexander von Humboldt Foundation, Germany, in 2022, and the Green Talent Award from the Federal Ministry of Education and Research, Germany, in 2016. He is an Associate Editor of IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics and IEEE Journal of Emerging and Selected Topics in Power Electronics.

Special Session 4 – Emerging Battery Technology for Electrified Transportation and Energy Storage Sectors

Special Session Organizers

Abstract

By virtue of their high energy density and long lifetime, lithium-ion batteries are currently one of the most economically viable energy storage solutions in the electrified transportation and energy storage sectors. Emerging techniques are developing to improve the performance of battery cells and systems. To facilitate further the development of electrified transportation and battery energy storage systems, more efforts to improve the reliability, safety, efficiency, and longevity of battery cells and systems are urgently required. This Special Session aims to present and share cutting-edge research on related theory, design, modeling, application, and control of batteries.

Topics of interest include but are not limited to:

  • Modeling and simulation of battery cells and systems
  • State estimation, lifetime prediction, and fault diagnosis of battery cells and systems
  • Balancing techniques of battery systems
  • Thermal and safe management of battery cells and systems
  • Digital twins, AI, blockchain, and big data techniques for battery cells and systems
  • In-situ/operando techniques for battery characterizations
  • Smart electronic systems, sensors, and instrumentation applied in battery cells and systems
  • Advanced converters for battery systems
  • Photovoltaic and wind power systems with batteries

Special Session Organizer Biographies

A/Prof. Linfeng Zheng, International Energy College, Jinan University

Linfeng Zheng received the Ph.D. degree from University of Technology Sydney, NSW Australia, in 2018. He is currently an Associate Professor at the International Energy College and Institute of Rail Transportation, Jinan University, China. His research interests include the development of lithium-ion battery management techniques for electric vehicles and battery energy storage systems. He was a recipient of 2018 Chinese Government Award for Outstanding Self-financed Students Abroad, and was a recipient of Excellent Paper Award of the 34th World Electric Vehicle Symposium & Exhibition (EVS34). He acts as the guest editor for several journals, such as Energies and Process.

Email: linfeng.zheng@foxmail.com

A/Prof. Haijun Ruan, Centre for E-Mobility and Clean Growth Research, Coventry University

Haijun Ruan received the B.S. and Ph.D. degrees in Electrical Engineering from Beijing Jiaotong University, Beijing, China, in 2014, and 2019, respectively. He is an Assistant Professor in Battery Science & Technology, Centre for E-Mobility and Clean Growth Research, Coventry University, UK. He was a Research Associate from 2020 to 2023 with the Dyson School of Design Engineering, Imperial College London, UK, and is currently Visiting Researcher with Imperial College London. His research focuses on lithium-ion batteries, machine learning, and fuel cells, including modelling, thermal management, fast charging, diagnostics/prognostics, and lifetime extension. He currently sits on the editorial board of the Journal of Power and Energy and the topical advisory panel of the World Electric Vehicle Journal, and acts as the guest editor for several journals, such as Frontiers in Energy Research and Energies.

Email: haijun.ruan@coventry.ac.uk

Dr. Jiale Xie, Department of Automation, North China Electric Power University

Jiale Xie received his Ph.D. degree in control science and engineering from Harbin Institute of Technology, Harbin, in 2018. He was a wind turbine control engineer at Envision Energy Ltd. from 2012 to 2014. In 2019, he joined the Department of Automation, North China Electric Power University, China, as a lecturer. He has led and has been involved in more than five research projects, such as National Natural Science Foundation of China, and Central University Basic Scientific Research Business Expenses Special Funds. His current research interests focus on intelligent battery management, safety control of energy storage system, and power conversion electronics.

Email:  tellerxie@ncepu.edu.cn