1
Student Forum I C E M XXII th 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 Machines Antti Lehikoinen Aalto University, Dept. of Electrical Engineering and Automation, P.O. Box 13000, FI-00076 Espoo, Finland [email protected] 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]. 3 rd -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.

Efficient Numerical Analysis of Electrical Machines - ICEM 2016 Student Forum

Embed Size (px)

Citation preview

Page 1: Efficient Numerical Analysis of Electrical Machines - ICEM 2016 Student Forum

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

[email protected]

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.