Computationally efficient analysis of spatial and temporal harmonics content of the magnetic flux distribution in a PMSM for efficiency maps computation
Computationally efficient analysis of spatial and temporal harmonics content of the magnetic flux distribution in a PMSM for efficiency maps computation
Author
Candelo, C.; Garcia, A.; Riba, J.; Tubert, P.
Type of activity
Presentation of work at congresses
Name of edition
International Conference on Electrical Machines 2020
Date of publication
2020
Presentation's date
2020-08-24
Book of congress proceedings
2020 International Conference on Electrical Machines (ICEM): Gothenburg, Sweden: august 23-26, 2020: proceedings
This paper presents a fast and efficient methodology to compute the efficiency maps of PMSMs by means of magneto-static finite element analysis and direct-quadrature (dq) electrical modeling. The algorithm uses the magnetic flux density distribution to predict the time evolution in each region, thus performing a harmonic decomposition to compute iron losses. On the other hand, from the magneto-static analysis, by analyzing other parameters such as the electromagnetic torque and the flux linkage,...
This paper presents a fast and efficient methodology to compute the efficiency maps of PMSMs by means of magneto-static finite element analysis and direct-quadrature (dq) electrical modeling. The algorithm uses the magnetic flux density distribution to predict the time evolution in each region, thus performing a harmonic decomposition to compute iron losses. On the other hand, from the magneto-static analysis, by analyzing other parameters such as the electromagnetic torque and the flux linkage, the overall motor performance using direct-quadrature axis model is determined. The computational burden of this method is less compared to the conventional method based on time dependent simulations. Therefore, this methodology is well suited to deal with optimization methods. Finally, the method is validated by using public experimental data from the PMSM of the Toyota Prius 2004.
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