Michael Siegle

University of Stuttgart

Papers

1

Total Citations

14

H-Index

1

About

Michael Siegle is a leading researcher in advanced electrical machine design, with a primary focus on high-torque, low-speed applications for electric vehicles and joint drives. His work centers on the analysis and optimization of novel topologies, particularly transverse flux machines, which utilize three-dimensional magnetic flux paths to achieve exceptional torque density. Siegle’s major contribution lies in developing sophisticated loss calculation methodologies for these complex 3D flux machines. His most-cited paper, "Loss Calculation for Electrical Machines Based on Finite Element Analysis Considering 3D Magnetic Flux" (2018, 14 citations), provides a critical framework for accurately predicting performance and thermal behavior in designs where conventional 2D models fall short. This work is foundational for engineers seeking to push the boundaries of power density in direct-drive systems. By enabling more precise finite element analysis of 3D flux effects, Siegle’s research directly supports the development of more efficient and compact electric drivetrains, positioning him as a key contributor to the next generation of high-performance electrical machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Loss Calculation for Electrical Machines Based on Finite Element Analysis Considering 3D Magnetic Flux
14 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Stuttgart

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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