Yangfan Xu
Papers
1
Total Citations
15
H-Index
1
About
Yangfan Xu is a researcher advancing the field of electromechanical systems, with a focus on thermal management and real-time control of advanced electric motors. Their key research areas include thermal network modeling, permanent-magnet spherical motors, and temperature estimation for high-performance actuators. Xu’s major contribution lies in the design and identification of lumped-parameter thermal network models, which enable accurate, real-time temperature estimation for permanent-magnet spherical motors—a critical innovation for improving motor reliability, efficiency, and lifespan in applications such as robotics and aerospace. Their most-cited work, published in 2023, has garnered 15 citations, reflecting its growing influence among peers working on thermal dynamics and motor control. This achievement underscores Xu’s ability to bridge theoretical modeling with practical engineering challenges, offering a robust framework for thermal management that can be adapted to other motor topologies. By addressing the often-overlooked issue of thermal behavior in complex motor geometries, Xu’s research provides a foundation for safer, more durable electromechanical systems. Their work is particularly notable for its potential to enhance real-time monitoring and predictive maintenance, making it a valuable resource for students and researchers in electric machine design, thermal engineering, and control systems.
Research Focus
Key Achievements
Top Papers
- 1