Student Forum
I C E MXXIIth International Conference on
Electrical Machines (ICEM’2016)SwissTech Convention Center
Lausanne - Switzerland
September 4-7, 2016
Who am I?
Winding Loss Models
Reluctance Network Software
Efficient Numerical Analysis of Electrical MachinesAntti Lehikoinen
Aalto University, Dept. of Electrical Engineering and Automation, P.O. Box 13000, FI-00076 Espoo, Finland
www.anttilehikoinen.fi
Select Publications
[1] Monte Carlo Analysis of Circulating Currents in Random-Wound Electrical Machines, IEEE Trans.Magn. 2016.
[2] Reduced Basis Finite Element Modelling of Electrical Machines with Multi-Conductor Windings, ICEM 2016.
[3] Efficient Finite Element Computation of Circulating Currents in Thin Parallel Strands, IEEE Trans.Magn. 2015.
[4] Time-Stepping 3D-Reluctance Network Analysis of an Axial Flux Permanent Magnet Machine, EPNC 2016.
Development of efficient finite element models
for winding loss computation. Published work
includes:
• Analysis and stochastic prediction of circulating
current losses in random-wound high-speed
machines [1]. Developed a sampling algorithm to
model the uncertain winding process.
• Reduced basis modelling of AC winding losses [2].
Good accuracy of losses with >30x speed-up.
• Thin-conductor model for stranded windings [3].
Accurate circulating current losses with 7-4000x
speed-up.• Fully parametric machine model.
• Circuit coupling.
• Time-stepping non-linear solver.
• Good agreement with 3D FEM
at 200x speed-up.
Developed a design software based on reluctance networks, for a
novel axial-flux PM machine [4].
• 3rd-year PhD student from Aalto University, Finland.
• Research focused on light-weight numerical analysis of electrical machines.
• Algorithm development for 2D finite element analysis.
• Design and implementation of reluctance network software.
• Ongoing work on model order reduction in the time-domain.
• I implement my own FEM software.
• Matlab and C++.
• Verification with commercial & OS software.
Circulating current losses. Thin-conductor model.
Ongoing work about:
• Improving the efficiency of time-dependent analysis
via the proper generalized decomposition (PGD).
• Effect of VFD supply on circulating current losses.
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