ICIEA 2025 Special Session
SS17: Advanced Modeling and Control for Power Electronics and Electric Drives
Organized by:
Organizer 1: Yihao Wan
Email: yihaw@kth.se
Affiliation: KTH Royal Institute of Technology, Sweden
Organizer 2: Yang Zhang
Email: zhang5@kth.se
Affiliation: KTH Royal Institute of Technology, Sweden
Organizer 3: Zhiping Dong
Email: zhiping.dong@my.cityu.edu.hk
Affiliation: City University of Hong Kong, Hong Kong SAR, China
Organizer 4: Qianwen Xu
Email: qianwenx@kth.se
Affiliation: KTH Royal Institute of Technology, Sweden
Energy transition is undergoing a revolutionized transformation, driven by advancements in power electronics. This special session aims to bring together innovative contributions on enabling technologies for the control and design of power electronics and electric drives, providing groundbreaking solutions to long-standing industrial challenges. The focus is on leveraging state-of-the-art enabling technologies to advance power electronics in distributed generation (DG) systems and transportation electrification.
This special session welcomes cutting-edge research exploring AI, machine learning, and emerging technologies such as digital twin, to advance the design, modeling, and control of power converters and electrical drives. We encourage contributions that highlight theoretical advancements, practical applications, and case studies demonstrating the potential of these technologies to enhance efficiency, reliability, and sustainability in modern power electronic systems.
This session invites contributions on advanced modeling and control strategies for power converters and electric drives, with applications spanning distributed generation systems—such as microgrids, renewable energy integration, and energy storage—and electrified transportation, including electric vehicles, rail traction, and electric aviation. As energy systems evolve, there is a pressing need to enhance the efficiency, reliability, and real-time performance of power electronics, which are fundamental to both smart grids and electrified transportation systems.
Key advancements in AI-driven control, machine learning-based modeling, and digital twins are transforming the design and optimization of power converters and drives. These innovations have been unlocking new capabilities for predictive maintenance, optimization, and fault tolerance, driving the evolution of intelligent microgrids and electrified transportation systems.
By integrating cutting-edge technologies, this session contributes to promoting the energy transition by enhancing the sustainability and performance of power electronics in modern energy systems.
We invite high-quality research papers and contributions on, but not limited to, the following topics: