Measuring the efficiency map of an electric machine is a complex and time-consuming process. This paper examines means for estimating the efficiency map of PM machines using a reduced number of tests. It uses a modified saturation model which gives good results even in the presence of high cross-saturation. It also models the iron loss variation with load and speed using curve fitting in the constant torque and power regions based on a limited number of load points. Both the flux-linkage and iron loss methods are applicable to finite element (FE) simulation and have the capability of being generalized to other electrical machine types. The results are verified both with FE simulation and experimental tests
This paper aims to compare different methods for the computation of the iron losses. First of all, a...
In this work, a literature review of recent developments in the area of efficient finite element (FE...
In\u2013wheel motors are promising candidates for the propulsion of electric vehicles. Neverth...
This article investigates the accuracy of the estimation of efficiency maps for permanent magnet (PM...
This paper investigates the accuracy of the estimation of efficiency maps for permanent magnet (PM) ...
During the last decades, a wide variety of methods to estimate permanent magnet synchronous motor (P...
This paper presents a novel approach in the modeling of efficiency maps for electrical machines. It ...
This paper investigates a time efficient method for estimating the iron losses in a permanent magnet...
Permanent magnet (PM) machines offer several advantages in traction applications such as high effici...
This paper investigates the calculation, modelling and interpretation of efficiency maps for electri...
This paper examines correction of the finite element (FE) calculated efficiency maps based on simple...
The paper presents a simple yet powerful method of efficiency mapping of induction machines. The who...
Efficiency maps (EffMs) illustrate the maximum efficiencies of electric machines over a range of tor...
grantor: University of TorontoThis thesis proposes a refined approach to evaluate iron los...
This paper presents a methodology for the efficiency maps evaluation of synchronous electric machine...
This paper aims to compare different methods for the computation of the iron losses. First of all, a...
In this work, a literature review of recent developments in the area of efficient finite element (FE...
In\u2013wheel motors are promising candidates for the propulsion of electric vehicles. Neverth...
This article investigates the accuracy of the estimation of efficiency maps for permanent magnet (PM...
This paper investigates the accuracy of the estimation of efficiency maps for permanent magnet (PM) ...
During the last decades, a wide variety of methods to estimate permanent magnet synchronous motor (P...
This paper presents a novel approach in the modeling of efficiency maps for electrical machines. It ...
This paper investigates a time efficient method for estimating the iron losses in a permanent magnet...
Permanent magnet (PM) machines offer several advantages in traction applications such as high effici...
This paper investigates the calculation, modelling and interpretation of efficiency maps for electri...
This paper examines correction of the finite element (FE) calculated efficiency maps based on simple...
The paper presents a simple yet powerful method of efficiency mapping of induction machines. The who...
Efficiency maps (EffMs) illustrate the maximum efficiencies of electric machines over a range of tor...
grantor: University of TorontoThis thesis proposes a refined approach to evaluate iron los...
This paper presents a methodology for the efficiency maps evaluation of synchronous electric machine...
This paper aims to compare different methods for the computation of the iron losses. First of all, a...
In this work, a literature review of recent developments in the area of efficient finite element (FE...
In\u2013wheel motors are promising candidates for the propulsion of electric vehicles. Neverth...